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Project Short Consulting

Project SHORT (Student Health Opportunities and Research Training) is an organization comprised of volunteer MD, PhD, and MD/PhD students who offer pro-bono consulting for medical and graduate school admissions.

 

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  • Celsius Therapeutics: Scientist/Senior Scientist Computational Biology

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    We are seeking an innovative, collaborative and accomplished computational biologist to join an experienced team harnessing genomics to identify new therapeutic targets in oncology and immuno-oncology. The individual will use internal and external datasets, including next generation single cell sequencing data, to develop and implement innovative analysis strategies that generate focused hypotheses for identifying new therapeutic targets.

    The successful candidate will join a team of scientists using cutting edge genomics techniques and single cell sequencing for the discovery of new therapeutic targets. Primary responsibilities will be to:

    - Participate in the development of a platform for genomics-based target discovery in immuno-oncology and oncology.

    - Generate meaningful biological hypothesis from large genomics datasets.

    - Prioritize and validate candidate targets for drug discovery.

    - Apply or develop new tools or data-mining techniques for integrative analysis and visualization of large data-sets.

    - Contribute to experimental study design.

  • Teaching postdoc in Biology

    Posted:

    Graduates/Post-Baccs, Graduate Students, Post-Docs

    Teaching Post-Doctoral Fellow

    The Department of Biological Sciences at Salisbury University is accepting applications for the position of Teaching Postdoctoral Fellow. This position is supported by a National Science Foundation grant aimed at recruiting promising scholars who are committed to diversity in the academy and to prepare those scholars for a possible tenure track appointment at SU. We are particularly interested in receiving applications from individuals who are members of groups that historically have been underrepresented in the professoriate. The position will be a two-year term beginning August 16, 2021, and includes a stipend, health benefits, funds for conference travel and preparation of scholarly work, office and lab space with computer, and other privileges at the university.

    Area of Specialization: Candidates with teaching and research interests in all areas of biological sciences will be considered.

    Primary Job Duties: The fellow will teach about 9 contact hours (2-3 courses or labs) each semester, which may include directing student-driven research. Each fellow will be provided teaching and research mentors and professional development opportunities across the campus and University of Maryland system. The remainder of the time will be devoted to pursuing research.

    Minimum Qualifications: Applicants must have completed their doctoral degree in Biology or related science when the term of appointment commences and must be no more than three years beyond receiving the Ph.D.

    Preferred Qualifications: Successful candidates will be selected on the basis of teaching and scholarly promise and potential to add to the diversity of the SU community.

    Applications received by May 1, 2021 will be given first consideration. The position will remain open until filled. Salary is competitive and commensurate with qualifications and experience. To be eligible for this position, the appointment is contingent on the applicant being a United States citizen, national, or permanent resident of the United States. The position is expected to begin August 16, 2021. Please visit our website http://www.salisbury.edu/HR/careers/ to apply online. See the FAQs of the Online Employment Application System for more information and instructions.

    To be considered an applicant, you must apply online and submit the following: 1) A letter of interest; 2) curriculum vitae; 3) research, teaching and diversity statements; 4) unofficial transcripts; 5) the names and contact information of at least three (3) professional references. If you have any questions about the position, please contact the Search Committee Chair, Dr. Eric Liebgold at EBLIEBGOLD@salisbury.edu.

    This position is based in Salisbury, MD. Salisbury University, a member of the University System of Maryland is a regionally accredited four-year comprehensive institution offering 60 distinct graduate and undergraduate programs. Founded in 1925, Salisbury University features a beautiful campus close to ocean beaches and the Chesapeake Bay and 2-3 hours from the metropolitan areas of Washington, Baltimore, Philadelphia, and Norfolk. SU is consistently ranked among the nation’s top colleges and ‘best values’ by U.S. News & World Report, The Princeton Review and other publications. SU has 440 full-time faculty members serving a student population of approximately 8700.

    Diversity and inclusion are core values of Salisbury University. We strive to create a truly diverse and inclusive environment where the richness of ideas, backgrounds, and perspectives of our community is harnessed to create value for our University community to include students, faculty, and staff, today and in the future. To this end, the University recruits exceptional and diverse faculty, staff, and students from across Maryland, the United States, and around the world, supporting all members of the University community as they work together to achieve institutional goals and vision. To learn more about the University’s commitment to fostering a diverse and inclusive campus, please visit http://www.salisbury.edu/equity/.

    Salisbury University (SU) has a strong institutional commitment to diversity and equal employment opportunities to all qualified people. To that end, the University prohibits discrimination on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, genetic information, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. Direct all inquiries regarding the nondiscrimination policy to: Humberto Aristizabal, Associate Vice President, Institutional Equity, Title IX Coordinator, 100 Holloway Hall, Tel. (410) 548-3508.

  • AbbVie: Senior Scientist I/II, Computational Oncology

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    This position is based at AbbVie’s brand-new CA headquarters located in South San Francisco, CA. The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment to contribute to oncology discovery and clinical development programs (including therapies based on antibody-drug conjugates, small molecule inhibitors, protein degraders, etc.). They will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical modeling and bioinformatics methods, integrating large scale multi-modal datasets to derive quantitative biological insights, and communicating scientific findings to project teams. In addition, the candidate will contribute to presentations at scientific conferences, publications in peer-reviewed journals, new drug applications, and regulatory filings.

  • AbbVie: Associate Scientist II/ Scientist I, Bioinformatics Engineer

    Posted:

    Undergraduates

    The Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. The GRC plays an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials. Within the GRC, the Department of Bioinformatics is responsible for data analysis and provides analytical insight for both internal and external data. This involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis and response (efficacy and safety) to drug treatment, identification of new targets, and interpretation of the impact of genetic and genomic evidence from population-based studies. The scale and complexity of these projects present unique engineering challenges. To attend to these challenges, we have opened an exciting opportunity for a Bioinformatics Engineer (Genomics Data), embedded in AbbVie’s Cambridge Research Center in Cambridge, Massachusetts to provide support to our Immunology and Neuroscience bioinformatics groups. The successful candidate will work closely with bioinformaticians and engineers at sites in Cambridge, Ludwigshafen Germany, as well as the Bioinformatics Engineering team members located in Lake County Illinois, and South San Francisco. Physical location will be in Cambridge, Massachusetts.

  • AbbVie: 2021 Experiential Internship Computational Oncology

    Posted:

    Graduate Students

    Project involves developing a statistical framework to assign tumor cells identified from single cell RNA sequencing (scRNA-seq) to cancer subclones. The project will leverage mouse and human scRNA-seq data generated internally, and also any available public datasets for method development and testing. A strong background in statistics and method development are desired. Fluent knowledge of R or Python programming languages is required. Ideal candidate is experienced in both method development and genomic data analysis.

  • Scientist, Computational Microbiome Sciences

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    Why Seres Therapeutics

    Seres Therapeutics, a member of the Flagship Pioneering family, is a leading microbiome therapeutics company developing a novel class of therapies consisting of multifunctional bacterial consortia designed to interact with host cells and tissues to treat disease. Our SER-109 program for the treatment of recurrent C. difficile infection achieved the first-ever positive pivotal clinical results for a targeted microbiome drug candidate and has the potential to receive a first-in-class FDA-approval.

    Our research and discovery efforts are aimed at identifying key alterations in the microbiome that are associated with specific diseases, and applying that knowledge to design new live bacterial therapeutics. The power of the Seres platform has demonstrated potential in infectious and inflammatory disease, immune regulation, and immuno-oncology. Seres’ preclinical and clinical programs have generated industry-leading data and knowledge in the microbiome space, and we are looking forward to expanding our team of passionate, driven scientists to help guide the next generation of microbial therapeutics.

    Position Summary

    The Computational Microbiome Sciences (CMS) group is looking for a Ph.D. level scientist to support preclinical and clinical activities. The primary role of the CMS group is to drive computational analyses of the microbiome using multi-omic tools to enable preclinical development and clinical evaluation of investigational microbiome therapeutics. The successful candidate will interface with fellow scientists in CMS and research scientists across R&D. In particular, this scientist will work closely with our functional screening and host biology teams on preclinical development of new therapeutics, in programs ranging from oncology to infectious disease to inflammatory disorders. Responsibilities will include computational analysis of microbiome genomic, transcriptomic and metabolomic data, as well as flow cytometry data. Ability to turn experimental results into novel, testable hypotheses is critical.

    This is a great opportunity to experience the biotech drug development pipeline from end to end, immerse yourself in a fast-paced and highly interdisciplinary environment, and contribute directly to an incredibly promising and emerging therapeutic field. You will also be part of a great, supportive team that emphasizes collaboration and learning new skills.

  • Senior Associate Data Scientist

    Posted:

    Graduates/Post-Baccs, Graduate Students, (Non-Post-Doc) Working Professionals, Other

    You will be an integral part of bluebird’s oncology data sciences team. The team works across research, clinical, and pharmaceutical sciences to advance our gene therapies by leveraging expertise in bioinformatics, engineering, statistics, disease biology, and human genetics. Come work with a cheerfully nerdy group of birds that loves rising to the challenge much as we do staying locked in an endless loop trying to make the best bird pun.

    In this highly collaborative role, you will be responsible for developing, managing, and maintaining our production pipelines to drive our translational research efforts and discoveries pre-clinically. You'll help to bring more patients their bluebird days by:

    Developing and maintaining in-house production pipelines for analyzing high-throughput NGS data: bulk/single-cell RNA-seq, WGS/WES, ATAC-seq, CITE-seq, cyTOF, etc.
    Optimizing and engineering internal pipelines to be scalable, highly parameterizable, and production ready by using workflow languages.
    Leveraging cloud computing platforms like AWS for data management and data transfer across multiple platforms.
    Designing interactive dashboards to summarize results from pipelines for end users.
    Collaborating with research scientists and data scientists to understand analytical and informatics needs.
    Educating end users how to run pipelines and documenting tutorials.
    Presenting findings to a large cross-functional team and/or the outside stakeholders to drive business decisions.
    Being a key member of the data science team, building our infrastructure from the ground up.

  • Data Scientist

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    You will be an integral part of bluebird’s Severe Genetic Diseases Data Sciences team. The team works across research, clinical, and pharmaceutical sciences to advance our gene therapies by leveraging expertise in bioinformatics, engineering, statistics, stem cell and disease biology, and human genetics. We apply advanced analytics to molecular, clinical, manufacturing and public domain data to support bluebird’s mission to recode for life. Come work with a cheerfully nerdy group of birds that loves rising to the challenge much as we do staying locked in an endless loop trying to make the best bird pun.

    In this highly collaborative role, you will be responsible for developing and executing key analyses to drive our translational research efforts and pre-clinical discoveries. This position offers an exciting opportunity to leverage your scientific and analytical skills in the field of autologous stem cell therapy to make an immediate impact on the efficacy and safety of our cell and gene therapies with the ultimate goal of improving patient lives. Additionally, you will contribute to our research pipeline projects that aim to improve and push the boundaries of current and upcoming state-of-the-art therapies.

    You'll help to bring more patients their bluebird days by:

    Applying cutting-edge analytical methods to solve complex biomedical questions by integrating disparate data types and delivering actionable insights and testable hypotheses
    Collaborating with wet lab scientists to design experiments leveraging high-throughput experimental generation.
    Collaborating with research scientists to characterize novel gene therapies using multi-omics approaches, e.g., single-cell RNAseq.
    Visualizing and distilling data to explain key findings to cross-functional teams and external stakeholders.
    Delivering translational analyses of exploratory, clinical, and manufacturing data to identify emergent data trends to answer key questions on the mission to deliver regulatory filings for our SGD therapies
    Being an advocate for driving awareness, acceptance, and adoption of advanced analytics across the organization.
    Identifying and applying new avenues which demonstrate how data-driven approaches and data sciences translate catalyze development in research, clinical projects, and bioengineering.

  • Bioinformatics Software Engineer - Molecular Pathology

    Posted:

    Undergraduates, Graduates/Post-Baccs, Graduate Students, (Non-Post-Doc) Working Professionals

    We are looking for a talented and self-driven Bioinformatics Software Engineer to help us to continue pioneering next generation clinical software systems. These cutting-edge systems will help visualize and report genomic results that will guide treatment decisions and the enrollment of patients onto clinical trials of novel targeted therapies.

    https://www.mskcc.org/research-areas/topics/molecular-pathology-diagnostics

  • Research Software Engineer

    Posted:

    Graduates/Post-Baccs, Graduate Students, (Non-Post-Doc) Working Professionals

    MSK MIND (Multimodal Integration of Data) is a new critical initiative aimed at accelerating research and discovery through advanced analytics. Fusing diagnostic modalities of radiologic, histologic, genomic, molecular, laboratory, and clinical data, MSK MIND will pursue a novel integrative analysis to improve cancer care. Our guiding hypothesis is that clinical and scientific research centered on patient stratification, diagnosis, and biomarker discovery will be improved and accelerated by analyses that span multiple data modalities.

    MSK MIND’s mission is to develop a computational platform and data infrastructure for multi-modal data integration with the goal of developing and deploying sophisticated computational methods to synthesize data for improving patient diagnosis, stratification, and treatment options.

    As part of the larger MSK MIND team, we in engineering are working on projects that utilize the latest techniques in Machine Learning and Natural Language Understanding. As a Research Software Engineer, you work and collaborate closely with Research Scientists on the team to fill the intersection between the Software Engineer and the Research Scientist.

  • Computational Biologist

    Posted:

    Graduates/Post-Baccs, Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    The Computational Biologist will provide bioinformatics support in the development of next-generation sequencing applications to characterize the spectrum and clinical significance of genetic mutations detected in germline samples with the integration of other sequencing data and biomarkers.

  • Sr. Business Analyst/ Sr. Software Engineer

    Posted:

    Graduates/Post-Baccs, Post-Docs, (Non-Post-Doc) Working Professionals

    The Research Informatics and Software Engineering Department (RI&SE) within Genentech Research and Early Development (gRED) seeks Senior Informatics Systems Analysts and Senior Software Engineers to lead software development efforts supporting the Research organization at Genentech. You will play a critical role in delivering transformational software that enables the discovery of life-changing therapies. You will be responsible for understanding the needs of our scientists, who are driven to convert research discoveries into novel medicines, to drive development of a comprehensive ecosystem of applications and tools to record, and to organize, store, secure, and access data in meaningful ways. You will analyze and interpret how IT systems fit our scientific business needs based upon internal and external business challenges, elicit requirements for new systems development, lead software teams with implementation, and monitor effectiveness. You will work closely with both our project stakeholders and technical leads to gather user stories, design applications, and guide the functionality of IT systems across the full software development lifecycle by leveraging your specialized expertise and/or deep knowledge of the domain to solve complex, high-risk problems with innovative solutions. You will ensure that our solutions fit appropriately into our information ecosystem and ensure the integrity of our data architecture. Applicants should have an agile mindset, and have the ability to communicate difficult concepts and influence others in order to solve real business problems and deliver transformative impact to the business unit. You should be able to work in a fluid and dynamic environment, and should have a strong desire to pursue creative solutions with broad guidance and a high degree of independence.

  • Postdoctoral Research Fellow

    Posted:

    Graduate Students, Post-Docs

    The Dana-Farber Cancer Institute seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST AND DATA SCIENTIST FELLOW, under the Van Allen lab (http://vanallenlab.dana-farber.org/) and the Center for Cancer Precision Medicine (http://www.dana-farber.org/newsroom/news-releases/joint-center-for-cancer-precision-medicine-established.aspx) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine. We are particularly interested in expanding our efforts in germline and somatic genome interactions, and applications of machine learning to cancer biology. More info in the link - please contact me if you have any questions!

  • Master's-to-PhD Bridge Program in Quantitative Biology

    Posted:

    Undergraduates, Graduates/Post-Baccs

    Fisk University Welcomes Applications for Doctoral Bridge Training.

    Applicants for the two-year Master's phase at Fisk University, seeking coursework, wrap-around professional development and mentoring for successful transition to the PhD at partnering institutions, should provide their Cover Letter, CV, Personal Statement, and Transcripts to the Bridge Program Coordinator, Consti Coca, at ccoca@fisk.edu, with the email subject line "Bridge Program in Quantitative Biology." Please also arrange three recommendation letters to be sent directly to ccoca@fisk.edu. For further information, visit https://www.fisk.edu/academics/school-of-graduate-studies/

    At Fisk, Master's students will acquire essential research and professional skills that prepare them for PhD study in quantitative biology, encompassing bioinformatics, computational biology, genomic biology, biomedical data science and biophysics. Stipends will be provided. US citizenship or permanent resident status required.

  • AbbVie: 2021 Internship- Bioinformatics Software Code Development

    Posted:

    Undergraduates, Graduate Students

    Refine analytical bioinformatic platforms to automate analysis of flow cytometry (FACS) data generated by laboratory scientists when seeking treatment related pharmacodynamic biomarkers in AbbVie studies of preclinical and clinical trial specimens.

  • AbbVie: 2021 Internship- Causal Inference and Data Fusion

    Posted:

    Graduate Students

    Project involves developing multi-omics directed graph networks based on causal inference framework based on multiple data types (e.g., clinical, RNA-seq, epigenetic, proteomic, and/or genetic data). Must be expert in at least one area of causal inference such as interpretable machine learning or data fusion problem, e.g., to reduce space of plausible causal relationships and how data from multiple sources can be combined to make causal inferences. Experience with machine learning in the context of causal inference, so that the predictive models are more than just a black box, is strongly desired. Ideal candidate is experienced in both genomic data, causal inference, and machine learning, but the latter two are the most important.

  • Department Chair, Biostatistics and Health Data Science

    Posted:

    Other

    Indiana University School of Medicine, a national leader in research, education and clinical care, is seeking a visionary leader for Chair of the Department of Biostatistics and Health Data Science.

    The Department of Biostatistics and Health Data Science within the Indiana University School of Medicine, in close partnership with the Richard M. Fairbanks School of Public Health, conducts collaborative education and research programs to improve health for Indiana and the world. The Department is currently ranked 12th in NIH funding among Biostatistics Departments and provides an outstanding educational environment that prepares learners to become biostatisticians and data scientists skilled in solving real-world problems.

    The Department of Biostatistics and Health Data Science conduct research in aging, biomedical informatics, cancer, cardiology, dentistry, endocrinology, gastroenterology and hepatology, geriatrics, internal medicine, neurology, psychiatry, nursing, veteran’s affairs, pediatrics, and many other disciplines. These collaborative research pursuits with investigators throughout the Center for Computational Biology and Bioinformatics, Regenstrief Institute, other Indiana University partners and across the world. Further, they have served as primary investigators on global AIDS studies, such as the International epidemiology Database to Evaluate AIDS (IeDEA), and been lead authors on manuscripts on a broad range of biomedical fields including independently funded methodological research. Faculty research covers traditional areas of focus such as longitudinal modeling, survival analysis and missing data problems, along with newer areas such as adaptive clinical trials, bioinformatics and analysis of medical imaging data, with increasing expertise in machine learning, artificial intelligence, and data science. The department is also known for innovative methodology that improves the design and analysis of research studies.

    This position is ideal for a transformational leader who can build on existing strengths in Biostatistics and Health Data Science to develop new programs. Minimum qualifications include an MD, PhD, MD/PhD or equivalent, an extramurally funded research program, and academic credentials for a tenured appointment at the rank of Associate Professor or Professor. Doctorate or Terminal degree is required. The individual selected for this position must be a highly accomplished researcher and principled leader with exceptional communication, interpersonal and change management skills, and a strong commitment to upholding our core values--including promoting diversity, equity, and inclusion.

  • Bioinformatics and Data Scientist

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.

    In this role, you will analyze some of the largest, richest biological datasets in the world to find biological signals and patterns and guide our assays, bioinformatic pipelines, and product strategies. Working closely with scientists, clinicians, and engineers, you will develop inference to investigate the biology of cell free nucleic acid tumor biology and how that relates to classification performance. You will execute statistical analyses operating across GRAIL’s data sets, public data, and data from collaborators in academia and industry. Your analyses will result in exciting discoveries in cancer biology, impactful publications, and products for early detection of cancer.

  • 2 Senior Analyst Positions

    Posted:

    Post-Docs, (Non-Post-Doc) Working Professionals

    Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting for a Senior Scientist, Computational Immunology Discovery located in Cambridge, MA.

    Janssen Research & Development is a world-class pharmaceutical organization committed to research and development of innovative therapies for diseases with great unmet medical need. Janssen Immunology Research & Development focuses on improving the health and lifestyles of people with serious immunological and inflammatory conditions worldwide, and today has a leading portfolio of medicines to treat psoriasis, Crohn’s disease, psoriatic arthritis, rheumatoid arthritis, ankylosing spondylitis, atopic dermatitis, and ulcerative colitis.



    Data science is a critical function within Janssen Immunology supporting drug discovery and development. The Computational Immunology Discovery (CID) team is a computational biology team within Immunology Discovery and the Immunology Therapeutic Area. This role is within CID and provides computational support to the wider Immunology Discovery team to facilitate the drug discovery process. Activities include partnering with wet laboratory and computational scientists to mine human molecular data for novel pathways, identify therapeutic targets within pathways of interest, and analyze molecular data from preclinical experiments to progress discovery programs. Strategically, CID adds value to the pipeline by bringing human molecular data to bear early in the drug discovery process and, in doing so, builds strong rational for relevance to human disease and prospective patient stratification.

  • Scientific / Statistical Programmer, Computational Microbiome Sciences

    Posted:

    Graduates/Post-Baccs, Graduate Students

    The Computational Microbiome Sciences (CMS) group is looking for a scientific programmer to support research and clinical computational activities. The CMS group has responsibilities that extend across the range of research and clinical activities at Seres, from algorithm development, to preclinical research, including the design and subsequent clinical evaluation of therapeutic consortia.

    The successful candidate will interface with scientists in CMS, and research scientists across R&D and clinical to develop computational tools and execute analyses supporting early and late stage clinical and preclinical programs. Responsibilities will include developing rigorous code and analytics for microbiome Statistical Analysis Plans in clinical trials, with a focus on statistical programming. Experience with implementing and benchmarking public bioinformatics tools and algorithms a strong plus.

    This is a great opportunity to experience the biotech drug development pipeline from end to end, immerse yourself in a fast-paced and highly interdisciplinary environment, and contribute directly to an incredibly promising and emerging therapeutic field. You will also be part of a great, supportive team that emphasizes collaboration and learning new skills.

    We are looking to fill this position as soon as possible

  • AbbVie - Associate Scientist II/ Scientist I, Bioinformatics Analyst (South San Francisco)

    Posted:

    Undergraduates, Graduate Students, (Non-Post-Doc) Working Professionals

    The Genomic Research Center Computational Oncology team (GRC-CO) at AbbVie is seeking a highly motivated computational biologist or bioinformatics scientist to play an integral role in a multi-disciplinary team passionate about developing new therapies for the treatment of cancer. AbbVie GRC spans multiple locations and therapeutic areas. This enables our capabilities to be used from the perspective of a research community: a shared code base, innovative project engagement, and an extensive mentoring and development program that combine to build a vibrant and exciting career opportunity!

    This key member of our team will be based at our brand-new CA headquarters located in South San Francisco. The position will provide the opportunity to work in a fast-paced and highly collaborative environment to contribute to discovery and clinical development supporting projects throughout the AbbVie Oncology portfolio.

  • Associate or Senior Editor (Computational Biology/Chemistry), Nature Computational Science

    Posted:

    Graduate Students, Post-Docs

    Nature Computational Science is looking to recruit an Associate or Senior Editor with expertise in Computational Biology and/or Chemistry to join the editorial team!

  • Software Development Intern

    Posted:

    Undergraduates, Graduates/Post-Baccs, Graduate Students

    We are excited to offer a summer internship with the Modeling and Informatics team at Denali Therapeutics, an interdisciplinary group working at the interface of chemistry, biology, informatics, and computer science. You will create and tools that will enable our scientists to access, analyze, and share scientific data. This is a hands-on position with abundant opportunity to collaborate with other researchers in a highly dynamic and fast-paced environment. You will work on real-world projects that will amplify the data Denali generates, contributing to defeating degeneration.

    Responsibilities:

    Work with Denali scientists to develop an internal web application; project may be:
    Customizing registration tools for biotherapeutic entities
    Building 3D visualization and feature interaction tools
    Shaping and enhancing our material request system
    Developing a chemical biology wiki to track internal tool compounds
    Organize and iterate over feedback from scientific stakeholders
    Present code and discuss code with other Python developers
    Deliver a robust test suite for committed code
    Position requirements:

    Currently pursuing a BS/MS/PhD in a quantitative discipline such as computer science, data science, bioinformatics, or computational biology
    The ideal candidate will be organized, detail-oriented, and have experience in data management and informatics
    Energetic, results-driven, self-starter with ability to work in a highly collaborative environment
    Strong Python skills, familiarity with SQL, JavaScript, and/or jQuery is helpful
    Excellent written and verbal communication skills

  • Modeling & Informatics Internship

    Posted:

    Graduate Students

    The Opportunity

    Denali Therapeutics is dedicated to developing breakthrough therapies for patients with neurodegenerative diseases through deep commitment to understanding degeneration biology and rigorously applying the principles of translational medicine. Collaboration with partners across academia, industry and non-profit organizations is central to Denali’s strategy.

    We are excited to offer a summer internship with the Modeling and Informatics team at Denali Therapeutics, an interdisciplinary group working at the interface of chemistry, biology, informatics, and computer science. You will create and tools that will enable our scientists to access, analyze, and share scientific data. This is a hands-on position with abundant opportunity to collaborate with other researchers in a highly dynamic and fast-paced environment. You will work on real-world projects that will amplify the data Denali generates, contributing to defeating degeneration.

    Responsibilities:

    Work with Denali scientists to develop an internal web application; project may be:
    Customizing registration tools for biotherapeutic entities
    Building 3D visualization and feature interaction tools
    Shaping and enhancing our material request system
    Developing a chemical biology wiki to track internal tool compounds
    Organize and iterate over feedback from scientific stakeholders
    Present code and discuss code with other Python developers
    Deliver a robust test suite for committed code
    Position requirements:

    Currently pursuing a BS/MS/PhD in a quantitative discipline such as computer science, data science, bioinformatics, or computational biology
    The ideal candidate will be organized, detail-oriented, and have experience in data management and informatics
    Energetic, results-driven, self-starter with ability to work in a highly collaborative environment
    Strong Python skills, familiarity with SQL, JavaScript, and/or jQuery is helpful
    Excellent written and verbal communication skills

  • Research Summer Internship in Genomics

    Posted:

    Undergraduates, Graduates/Post-Baccs, Graduate Students

    This is a summer internship in the Genomics group at Flatiron Institute (https://www.simonsfoundation.org/flatiron/center-for-computational-biology/genomics/). Interns will work closely with a research mentor on a computational research project which can be tailored to the interests of the intern. This is part of a summer program with a stipend that also organizes activities for the interns. Please feel free to get in touch with any questions!

  • SUMMER 2021 R&D GRADUATE INTERNSHIP – COMPUTATIONAL BIOLOGY IN SAFETY

    Posted:

    Graduate Students

    Off-target activity related adverse event is a main contributor to drug attrition and drug withdrawal during clinical development and post-marketing. With emerging therapeutic modalities, such as Proteolysis Targeting Chimera (PROTAC) and RNA interference (RNAi), rigorous off-target screening remains an unmet need to advance these new molecules. The Molecular & Cellular Translational Safety group built a proteomics-based platform using human cell lines to address this issue. The graduate intern will help to continue building this platform using computational biology approaches and natural language processing methods developed by our group.

  • Internship - 23andMe Therapeutics

    Posted:

    Graduate Students

    23andMe Therapeutics is hiring for a graduate-level intern to come work with us for the summer. Our focus is the use of genomics data to enable drug discovery. Please feel free to contact with questions.

  • Research Associate - Biostatistics

    Posted:

    Undergraduates, (Non-Post-Doc) Working Professionals, Other

    The Chan Zuckerberg Biohub ("CZ Biohub”) is an independent nonprofit medical research organization based in the San Francisco Bay Area. The Chan Zuckerberg Biohub supports scientific research to cure, prevent or manage disease in our children’s lifetime. Our mission is to understand the fundamental mechanisms underlying disease and to develop new technologies which will lead to actionable diagnostics and effective therapies. We harness the power and possibility of collaboration to drive discovery and set the standard for open, impactful science. For more information, please visit czbiohub.org.

    Multidisciplinary teams at CZ Biohub are working together to understand the underlying mechanisms of disease. Experimental scientists work closely with computational scientists to solve important problems using multidimensional datasets. To aid the experimental design and analysis efforts, we are seeking an experienced biostatistician to join our multidisciplinary team. The candidate will provide guidance on experimental design and the interpretation of analytical results from experiments such as CRISPR knockouts, gene expression, proteomics, imaging, and next generation sequencing.

    This opportunity is best for those intending to go to graduate school at a later date.

  • Data Scientist - Biostatistics

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    The Chan Zuckerberg Biohub ("CZ Biohub”) is an independent nonprofit medical research organization based in the San Francisco Bay Area. The Chan Zuckerberg Biohub supports scientific research to cure, prevent or manage disease in our children’s lifetime. Our mission is to understand the fundamental mechanisms underlying disease and to develop new technologies which will lead to actionable diagnostics and effective therapies. We harness the power and possibility of collaboration to drive discovery and set the standard for open, impactful science. For more information, please visit czbiohub.org.

    Multidisciplinary teams at CZ Biohub are working together to understand the underlying mechanisms of infectious disease. Experimental scientists work closely with computational scientists to solve important problems using multidimensional datasets. To aid the experimental design and analysis efforts, we are seeking an experienced biostatistician to join our multidisciplinary team. The candidate will provide guidance on experimental design and the interpretation of analytical results from experiments such as CRISPR knockouts, gene expression, proteomics, imaging, and next generation sequencing.

  • Research Associate - Genomic analysis

    Posted:

    Undergraduates, Graduates/Post-Baccs, (Non-Post-Doc) Working Professionals, Other

    The Chan Zuckerberg Biohub ("CZ Biohub”) is an independent nonprofit medical research organization based in the San Francisco Bay Area. The Chan Zuckerberg Biohub supports scientific research to cure, prevent or manage disease in our children’s lifetime. Our mission is to understand the fundamental mechanisms underlying disease and to develop new technologies which will lead to actionable diagnostics and effective therapies. We harness the power and possibility of collaboration to drive discovery and set the standard for open, impactful science. For more information, please visit czbiohub.org.

    CZ Biohub has been at the forefront of using sequencing technology to understand mechanisms of disease from the cellular level to the population level. During the COVID-19 pandemic, CZ Biohub contributed to the state-wide genomic surveillance of SARS-CoV-2, supported local outbreak investigations using phylogenetic analyses, and identified gene expression signatures of SARS-CoV-2 infections. CZ Biohub will continue to contribute to basic scientific research within infectious diseases and support capacity building locally and internationally.

    We are looking for a research associate specialized in genomic analyses and interested in solving problems in infectious disease at various scales. The candidate will work with a multidisciplinary team of scientists to produce multi-dimensional datasets to understand the mechanisms of infection, and work with local and global health partners to support public health and research efforts using metagenomic and whole genome sequencing. The candidate will be part of the data science platform.

    This opportunity is best for those intending to go to graduate school at a later date.

  • Bioinformatics Scientist - Genomic Analysis

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    The Chan Zuckerberg Biohub ("CZ Biohub”) is an independent nonprofit medical research organization based in the San Francisco Bay Area. The Chan Zuckerberg Biohub supports scientific research to cure, prevent or manage disease in our children’s lifetime. Our mission is to understand the fundamental mechanisms underlying disease and to develop new technologies which will lead to actionable diagnostics and effective therapies. We harness the power and possibility of collaboration to drive discovery and set the standard for open, impactful science. For more information, please visit czbiohub.org.

    CZ Biohub has been at the forefront of using sequencing technology to understand mechanisms of disease from the cellular level to the population level. During the COVID-19 pandemic, CZ Biohub contributed to the state-wide genomic surveillance of SARS-CoV-2, supported local outbreak investigations using phylogenetic analyses, and identified gene expression signatures of SARS-CoV-2 infections. CZ Biohub will continue to contribute to basic scientific research within infectious diseases and support capacity building locally and internationally.

    We are looking for a bioinformatics scientist specialized in genomic analyses and interested in solving problems in infectious disease at various scales. The candidate will work with a multidisciplinary team of scientists to produce multi-dimensional datasets to understand the mechanisms of infection, and work with local and global health partners to support public health and research efforts using metagenomic and whole genome sequencing. The candidate will be part of the data science platform.

  • Owner, Co-Ceo , Total Pharma Services

    Posted:

    Post-Docs

    We are a Women Black-Owned Pharma Life Science Recruiting Agency. Before starting, Total Pharma Services. I have been in Clinical Trials for over twenty years working for small and large Pharmaceutical, CRO's, Medical Device, and Academia companies. My Business Partner, Nadia Clark has been a Talent- Acquisition and HR specialist for 20 plus years as well, and our desire is to see people of color excel in Science, by providing our candidates high-level positions, to have broader visibility, advocate for a competitive salary, and importantly to have a voice and a seat at the table in the field of science that impacts and influences people of color every day. We are proud to work with some great clients that include diversity and inclusion at the forefront of their business. My name is Lisa Austin, I can be reached at 832-283-6775, I would love to connect and see how we can help the amazing women that this site represents. All the best. www.totalpharmaservices.com

  • AbbVie- Senior Scientist II/ Principal Research Scientist I, Bioinformatics Engineer

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    AbbVie's Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. The GRC plays an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials. Within the GRC, the Department of Bioinformatics is responsible for data analysis and provides analytical insight for both internal and external data. This involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis and response (efficacy and safety) to drug treatment, identification of new targets, and interpretation of the impact of genetic and genomic evidence from population-based studies. The scale and complexity of these projects present unique engineering challenges. To attend to these challenges, we have an exciting opportunity for a Senior Engineer, Bioinformatics, based in Lake County, IL.  This candidate will manage engineers, work closely with computational biologists and research project teams to develop analytical pipelines, databases, and scientific applications for the GRC.

  • PhD in Computational Cancer Biology at UMass Lowell, Fall 2021

    Posted:

    Undergraduates, Graduates/Post-Baccs

    PhD student positions now available for Fall 2021 researching Computational Cancer Biology at UMass Lowell (can start sooner if desired). This research sits at the crossroads of computational biology, data science, and epidemiology, and there are a number of possible projects rdmelamed.github.io/#projects. Your ideas for other projects are welcome!

    Students who want to work in cancer research, and who are interested in learning and applying data science methods should contact me to join. Our work is 100% computational, using data sets generated by other people. So, students should be excited to learn to visualize and model data sets using tools like R and Python, and packages like tensorflow/pytorch and Stan.

    These positions are fully funded with a mix of TAship and research funds. Students should contact me, and can apply to the UML Applied Biology PhD program www.uml.edu/sciences/biology/programs-of-study/phd-applied-biology.aspx – applications are rolling.

    Lowell is located in greater Boston and with access to numerous biotech and science opportunities.
    Other benefits include: access to cutting edge biomedical data; new computing workstations and access to the Massachusetts computing cluster; supportive environment with flexibility to design your own curriculum and research ideas if desired; excellent CS collaborations.

    Please see more at rdmelamed.github.io/join/ and email:
    – A cover letter describing why you are interested in the lab, how your background is related to this research, and what kind of projects you would like to work on in this lab. The cover letter is mandatory for all applications. I do not guarantee a response to applications that do not include a customized cover letter, but I promise to respond to all applications including a customized cover letter. Please see this link for more guidance on this type of cover letter www.findaphd.com/advice/finding/academic-cover-letters.aspx
    – Your resume
    – An unofficial transcript (or, relevant course background can be summarized in the resume)

  • CRI Irvington Postdoctoral Fellowship to Promote Racial Diversity

    Posted:

    Post-Docs

    The Cancer Research Institute has just announced a new postdoctoral fellowship program to promote racial diversity in immuno-oncology. We would appreciate it if you would communicate this opportunity within your network.

  • PhD Candidate in Computational Biology: Simulating Large T-Cell Collectives

    Posted:

    Graduates/Post-Baccs, Graduate Students

    Our group at Radboud University, The Netherlands, is recruiting a PhD Candidate who is curious about building a large-scale simulation of the human immune system and using it to improve our knowledge about how the real immune system learns. In The Netherlands, PhD candidates receive a regular 4-year full employment (or 5-year 80%) and contribute about 10% of their time towards teaching.

    When you hear about 'artificial intelligence', you might think of computer programs or systems that are modelled after the brain - the biological system that is most commonly associated with the term 'intelligence'. But our bodies harbour a second intelligent system that is just as critical for our ability to thrive in this world: the adaptive immune system. And while the brain has been very much at the centre of attention in computer science in recent years, fuelled by the rise of 'artificial networks', there remain vast expanses of unexplored territory when it comes to understanding the immune system from a computational perspective. The Computational Immunology research group is looking for a PhD candidate to join the quest for building an 'artificial immune system': a computer simulation of how the T-cells that make up a large part of that system, process and store information, make decisions, learn, get confused, and forget.

    Artificial immune systems have a long history dating back to the late 1980s, but for several years, only relatively small systems have been built. Like artificial neural networks in their early days, these early artificial immune systems were not very successful at reproducing biological phenomena or solving machine learning tasks. Over several years, our group has developed new algorithms that allow us to scale up such artificial immune systems by several orders of magnitude, which finally makes it possible to build simulations that resemble the real system in terms of size and complexity. You will further develop these new tools and build large-scale simulation models that can process real data on how the immune system responds to external stimuli (such as a virus infection) and make predictions that can be tested by comparing them with experimental data. Through iterations between model predictions and experiments (which are performed by our collaborators), you will harness your models to generate insight into the underlying principles of information processing and learning in the immune system. For an example of how this works, please refer to our most recent paper.

    Ultimately, you will use your simulation to try and predict immune responses against specific foreign stimuli, such as a specific protein sequence (comparable to, for instance, a piece of the SARS-COV2 spike protein). If such predictions were possible, even if only in part, they would greatly improve our ability to design safe vaccines and other immunotherapeutic treatments rapidly. They would also help us understand how a patient's exposure to past pathogens might affect their responses to other pathogens in the future.

    Of course, you will not work towards these goals on your own. Within our group, this position is part of a larger project, funded by a Vidi grant from the Dutch Research Council (NWO), and is part of a broader research line that also includes a new project funded by the Human Frontiers Science Program (G7 nations). The Computational Immunology group is affiliated with both Radboud University (Data Science section) and the Radboud university medical center (Tumor Immunology Department). Within our NWO and HFSP projects, we also collaborate closely with Dr Judith Mandl's group at McGill University, Montreal, with whom we regularly exchange students and staff. In summary, we provide ample opportunity for working with and learning from world-class scientists in both data science and immunology.

    Since all our teaching is in English, this position does not require any knowledge of Dutch.

  • AbbVie - Senior Scientist I, Bioinformatics

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    AbbVie's Genomics Research Center (GRC) is a center of excellence for bioinformatics, functional genomics, human genetics, pharmacogenomics and multiple population cohorts (over 1 million genomes) and works across all R&D, and other areas such as process sciences and corporate strategy. The GRC plays an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials.

    Within the GRC, the Department of Computational Biology drives research by data analysis and data integration with Discovery and Development in activities such as the identification and validation of new targets, elucidating underlying biological mechanisms for disease development and progression, translational research, and patient stratification.

    We have an exciting opportunity for a Bioinformatics Scientist based in North Chicago, IL. The ideal candidate should harbor a strong interest in learning how various genomic technologies/platforms can be leveraged to address specific biological problems and be passionate about the development/application of new bioinformatic methods. The successful candidate will work closely with the functional genomics and genome biology group within GRC and will have the opportunity to make critical impact to the application of various functional genomic technologies to drug discovery and development research in the area of new target discovery, functional validation of genetic variants (coding and non-coding), and genomic biology of pathogenetic and therapeutic mechanism.

  • Data Scientist - Genome Engineering for Infectious Disease

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    CZ Biohub is a non-profit research institute in San Francisco working at the intersection of basic biomedical research, technology development and data science. We are recruiting a Data Scientist with expertise in genomics to help us build our next-generation cell biology platforms to fight infectious diseases. Check our job ad to know more!

  • Senior Scientist, Bioinformatics and Computational Biology

    Posted:

    Post-Docs, (Non-Post-Doc) Working Professionals, Other

    Inzen Therapeutics is a privately held, early-stage biotechnology company exploring cellular turnover, an untapped area of human biology. Turnover is a fundamental feature of every cell in the human body, occurring more than 30 billion times per hour. This process goes awry in disease. Our mission is to pioneer a novel category of drugs based on manipulating cellular turnover for the treatment of cancer, immune and fibrotic diseases, and regenerative processes.

    Inzen Therapeutics was founded by Flagship Pioneering, an institute dedicated to the origination and development of first-in-category life sciences companies. Since 2000, Flagship has originated and fostered the development of nearly 100 scientific ventures resulting in $20+ billion in aggregate value, 500+ issued patents, and more than 50 clinical trials for novel therapeutic agents.

    Position Summary:

    Come join a dynamic and expanding team as a bioinformatician/computational biologist. We are exploring a new area of biology relating to cell death that requires us to develop creative analyses, integrating in-house and external omics data. This role will particularly appeal to someone who likes working on lots of different projects and has the skill set to flex among them rapidly. There will be ample opportunity to directly interact with biologists and present results that help drive decision making at Inzen. A successful candidate will enjoy a healthy mix of tool development, infrastructure building, and developing ad hoc analyses to advance Inzen’s core hypotheses by applying bioinformatic wizardry. We utilize many data sources including large-scale transcriptomics (bulk and single cell), GWAS, eQTL, and proteomics data to develop therapeutic hypotheses. Example projects include identification of correlates between omics signatures and clinical data; and target deconvolution from multi-omics data sets coupled with pathway analysis. The position reports to Inzen’s Head of Data Science and is located in Cambridge, MA.

  • Principal Scientist, Bioinformatics and Computational Biology

    Posted:

    Post-Docs, (Non-Post-Doc) Working Professionals, Other

    Inzen Therapeutics is a privately held, early-stage biotechnology company exploring cellular turnover, an untapped area of human biology. Turnover is a fundamental feature of every cell in the human body, occurring more than 30 billion times per hour. This process goes awry in disease. Our mission is to pioneer a novel category of drugs based on manipulating cellular turnover for the treatment of cancer, immune and fibrotic diseases, and regenerative processes.

    Inzen Therapeutics was founded by Flagship Pioneering, an institute dedicated to the origination and development of first-in-category life sciences companies. Since 2000, Flagship has originated and fostered the development of nearly 100 scientific ventures resulting in $20+ billion in aggregate value, 500+ issued patents, and more than 50 clinical trials for novel therapeutic agents.

    Position Summary:

    Come join a dynamic and expanding team as a Principal bioinformatician/computational biologist. We are exploring a new area of biology relating to cell death that requires us to develop creative analyses, integrating in-house and external omics data. This role will particularly appeal to someone who likes working on lots of different projects and has the skill set to flex among them rapidly. There will be ample opportunity to directly interact with biologists and present results that help drive decision making at Inzen. A successful candidate will enjoy a healthy mix of tool development, infrastructure building, and developing ad hoc analyses to advance Inzen’s core hypotheses by applying bioinformatic wizardry. We utilize many data sources including large-scale transcriptomics (bulk and single cell), GWAS, eQTL, and proteomics data to develop therapeutic hypotheses. Example projects include identification of correlates between omics signatures and clinical data; and target deconvolution from multi-omics data sets coupled with pathway analysis. The position reports to Inzen’s Head of Data Science and is located in Cambridge, MA.

  • Scientist, Bioinformatics and Computational Biology

    Posted:

    Post-Docs, (Non-Post-Doc) Working Professionals, Other

    Inzen Therapeutics is a privately held, early-stage biotechnology company exploring cellular turnover, an untapped area of human biology. Turnover is a fundamental feature of every cell in the human body, occurring more than 30 billion times per hour. This process goes awry in disease. Our mission is to pioneer a novel category of drugs based on manipulating cellular turnover for the treatment of cancer, immune and fibrotic diseases, and regenerative processes.

    Inzen Therapeutics was founded by Flagship Pioneering, an institute dedicated to the origination and development of first-in-category life sciences companies. Since 2000, Flagship has originated and fostered the development of nearly 100 scientific ventures resulting in $20+ billion in aggregate value, 500+ issued patents, and more than 50 clinical trials for novel therapeutic agents.

    Position Summary:

    Come join a dynamic and expanding team as a bioinformatician/computational biologist. We are exploring a new area of biology relating to cell death that requires us to develop creative analyses, integrating in-house and external omics data. This role will particularly appeal to someone who likes working on lots of different projects and has the skill set to flex among them rapidly. There will be ample opportunity to directly interact with biologists and present results that help drive decision making at Inzen. A successful candidate will enjoy a healthy mix of tool development, infrastructure building, and developing ad hoc analyses to advance Inzen’s core hypotheses by applying bioinformatic wizardry. We utilize many data sources including large-scale transcriptomics (bulk and single cell), GWAS, eQTL, and proteomics data to develop therapeutic hypotheses. Example projects include identification of correlates between omics signatures and clinical data; and target deconvolution from multi-omics data sets coupled with pathway analysis. The position reports to Inzen’s Head of Data Science and is located in Cambridge, MA.

  • Computational Biologist

    Posted:

    (Non-Post-Doc) Working Professionals

    Job Title Computational Biologist
    Location Columbia
    Full/Part Time Full-Time
    Regular/Temporary Regular

    Office of Research and Economic Development/Informatics Research Core Facility

    The University of Missouri is recruiting Computational biologists for the Informatics Research Core Facility in the Bond Life Sciences Center. The individual is expected to use computational tools and theoretical principles to understand biological systems. The candidate with varied expertise in computational management, data-algorithm, high-performance computing, statistical processes, and biological processes is essential. Their duties include extensive computer programming and job execution, and they must have in-depth knowledge of research practices to accomplish study objectives.

    This individual will apply algorithms with embedded statistical methods in standardized and innovative ways that will analyze, integrate, visualize, and interpret a broad variety of biological data. They will often direct and execute computational workflows to analyze bulk and single-cell transcriptional analyses and work closely with experimental biologists to interpret their data. In addition, this individual will test new algorithms on genomic and transcriptional data sets from screens and other research projects. The promotion and implementation of optimal data visualization techniques for various data types is another exciting opportunity in this position.

    The successful candidate should be highly motivated, demonstrate initiative and be invested in the success of research projects. They will have enthusiasm for taking a hands-on, problem solving approach, learning on the job, and collaborating with research scientists and associates in an informal collegial work environment imbued with intellectual rigor. They should possess an outstanding academic record and strong communication skills, demonstrate innovative and analytical thinking, and enjoy working in an interdisciplinary team. The successful candidate also should demonstrate experience with multitasking and have the ability to work independently as well as part of a team and possess meticulous work habits with careful attention to detail.

    Responsibilities:

    ● Perform bioinformatics analysis in support of scientific research using technical
    knowledge of software and its implementation in a high-performance computing
    infrastructure.
    ● Perform or direct others to execute various bioinformatic data analyses related to
    specialized research methodologies and results.
    ● Perform next generation sequence (NGS) data analysis (bulk RNA-seq, ChiP-seq, scRNAseq, ATAC-seq, HiC-seq) and integrating with data present in publicly available
    databases.
    ● Manage assigned research projects with minimal input.
    ● Develop and/or modify software to support new and ongoing research projects.
    ● Prepare research reports for presentation and assist with preparation of manuscripts for
    publication.

    Qualifications:

    Minimum:
    ● Bachelor's degree in a biological or quantitative field (molecular biology, bioinformatics, computer science, statistics, physics, mathematics, or related field preferred).

    Candidates will be evaluated on:
    ● Years of experience and degree
    ● Strong computational and quantitative skills.
    ● Strong programming skills in one or more languages (Python, R, Matlab, BASH, C/C++, etc.)
    ● Excellent oral and written English communication skills
    ● Experience working in a cluster computing environment
    ● Clear understanding of version control
    ● Strong background in statistics
    ● Experience with next generation sequence (NGS) data analysis
    ● Ability to solve complex problems
    ● Experience in scientific manuscript and grant development
    ● Experience with established browser use such as the genome databases of UCSC, NCBI and Ensembl is preferred.
    ● Well versed with publicly available genomic databases and resources


    Application: To apply, visit http://hrs.missouri.edu/find-a-job/academic/ and look for Job ID
    35404.
    Please submit: Cover letter; Curriculum vitae; and names and contact information for at least
    three references.

    The University of Missouri is fully committed to achieving the goal of a diverse and inclusive academic community of faculty, staff and students. We seek individuals who are committed to this goal and our core campus values of respect, responsibility, discovery and excellence.

    Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, protected veteran status, or any other status protected by applicable state or federal law. This policy shall not be interpreted in such a manner as to violate the legal rights of religious organizations or the recruiting rights of military organizations associated with the Armed Forces or the Department of Homeland Security of the United States of America. For more information, call the Vice Chancellor of Human Resource Services/Affirmative Action officer at 573-882-4256.

    To request ADA accommodations, please call the Disability Inclusion and ADA Compliance Manager at 573-884-7278.

  • Assistant Professor of Computational Biology

    Posted:

    Post-Docs, (Non-Post-Doc) Working Professionals

    The Department of Biology at San Diego State University (SDSU) is recruiting an individual at the assistant professor (tenure-track) level. The successful candidate will use computational approaches to investigate fundamental or applied questions of importance in broad areas of Biology. Areas of interest include, but are not limited to, genomics, synthetic biology, molecular, cell, developmental biology, and evolutionary biology.

  • Senior Scientist, Computational Biology

    Posted:

    Graduate Students, (Non-Post-Doc) Working Professionals

    We are seeking a collaborative and innovative scientist to join the Predictive Sciences group. As part of the Immunology, Cardiovascular, & Fibrosis (ICF) Computational Biology team, you would be responsible for helping advance Bristol Myers Squibb’s ICF pipeline through the application of bioinformatics, machine learning, network analysis, and statistics approaches on omics data sets. You would help design experiments and conduct analyses to nominate novel drug targets, enable patient enrichment strategies, and guide pre-clinical drug development decisions. You would communicate with colleagues across the organization and influence R&D at BMS, from target discovery through early-stage development.

    Responsibilities:

    Collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using internal and external omics datasets
    Develop computational models and tools to enable data-driven target prioritization
    Drive implementation of predictive models that can illuminate biological mechanisms and enable patient stratification
    Communicate findings and recommend follow up actions in multiple settings (including 1:1, seminars, group, and project meetings)
    Qualifications:

    Ph.D. in bioinformatics, computational biology, engineering, statistics, molecular biology, immunology, genetics, or similar
    Demonstrated ability of contributing to and helping advance multi-disciplinary team projects
    Proficiency with at least one high-level programming language such as R or Python for complex data analysis and reproducible research practices
    Experience analyzing high-dimensional molecular datasets such as RNA-Seq, Exome and Whole Genome Sequencing, single-cell sequencing, high-throughput proteomics, and multiplex flow cytometry
    Working knowledge of statistical tests and machine learning algorithms and their application to health care datasets
    Scientific curiosity with an ability to identify questions bioinformatics approaches can address, and the skills to develop solutions both independently and collaboratively
    Strong communication, data presentation, and visualization skills
    Background in ICF diseases (e.g. autoimmune diseases, heart failure, and fibrosis) and/or experience working with clinical trial data is a plus

  • Bioinformatics Consultant

    Posted:

    Post-Docs, (Non-Post-Doc) Working Professionals, Other

    Diamond Age Data Science partners with fast-moving biotech and pharmaceutical companies to drive innovation through bioinformatics. It’s an exciting time at Diamond Age: our expertise is in demand, our engagement pipeline is full and our organization and team are growing!

    Diamond Age has immediate opportunities for experienced computational biologists and senior computational biologists, whether formally trained in a MS or PhD Bioinformatics program or informally trained by extensive experience doing computational science and engineering.

    We offer a flexible remote work schedule, exciting scientific and engineering projects, a work environment of respect and mutual support, growth opportunities as the organization grows and competitive compensation commensurate with experience.

  • Senior Scientist I/II, Bioinformatics

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    The Genomics Research Center (GRC) is a center of excellence for bioinformatics, functional genomics, human genetics, pharmacogenomics and multiple population cohorts (over 1 million genomes) and works across all R&D, and other areas such as process sciences and corporate strategy. The GRC plays an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials.

    Within the GRC, the Department of Computational Biology drives research by data analysis and data integration with Discovery and Development in activities such as the identification and validation of new targets, elucidating underlying biological mechanisms for disease development and progression, translational research, and patient stratification.

    We have an exciting opportunity for a Senior Scientist based in North Chicago, IL. This role involves the utilization of population scale genomic, pharmacological, and health databases to help uncover, understand, and refine potential or existing drug targets.

  • Senior Scientist I/II, Computational Biologist, Neuroscience

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    At AbbVie the Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. Within the GRC, the Department of Bioinformatics/Computational Biology is responsible for data analysis and provides analytical insights for both internal and external data. AbbVie’s Neuroscience Discovery advances research to identify novel therapeutic approaches for neurodegenerative disorders like Alzheimer’s and Parkinson’s Disease.

    We have an exciting opportunity for a Computational Biologist/Bioinformatician, based in Cambridge, MA embedded in Neuroscience Discovery. The successful candidate will work closely with bioinformatics and wet-lab groups in Cambridge (MA), Ludwigshafen (Germany) and North Chicago (IL) to contribute to target and biomarker identification, validation, and project advancement by OMICS data analysis.

  • Bioinformatics Trainer and Analyst

    Posted:

    (Non-Post-Doc) Working Professionals

    The Harvard Chan Bioinformatics Core is excited to expand our bioinformatics training program as part of a new collaboration with the Dana-Farber / Harvard Cancer Center (DF/HCC). We are looking for a bioinformatician to join our team in our efforts to provide education and analytical support to the Harvard community. The ideal candidate is enthusiastic about teaching (as demonstrated by their teaching experience), enjoys working in a collaborative environment, and has a background in high-throughput data analysis, specifically for next-generation sequencing (NGS) data. This role provides a unique and rewarding opportunity to train and support world-class researchers making a profound impact on human health.

  • Bioinformatics Scientist

    Posted:

    Graduates/Post-Baccs, Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    Fulcrum Genomics partners with a diverse set of clients in genomics and biology from small startups to large life science and pharmaceutical companies, and anyone in between who has an interesting biological problem to solve. We are industry recognized experts in Bioinformatics and work with clients who are leaders in their fields. We build tools, pipelines, and systems to generate insights from biological data by applying and inventing cutting edge scientific methods and algorithms. We are seeking a highly motivated contributor to join our growing team as a Bioinformatics Scientist.

  • Scientific Software Developer (RCSB PDB @ Rutgers)

    Posted:

    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    We are looking for a full-stack developer with a minimum of five years experience using modern database and web technologies. The candidate should enjoy engaging with other developers and scientists in a collaborative team environment.

    The work at the PDB focuses on data analysis and transformation, and the presentation and visualization of data using complex interactive graphical user interfaces. An important aspect of the work is to provide our users with the ability to search and explore the data in the PDB Archive. Solutions are implemented using a wide range of custom components developed and maintained at the RCSB PDB, in addition to third-party tools, libraries, frameworks and technologies.

    The candidate should be comfortable working in a fast-changing environment, and be able to demonstrate an ability to think creatively, generate new ideas, and implement solutions. The candidate should also show an eagerness and willingness to learn new skills and master new technologies.

    The team at RCSB consists of a group of highly-skilled bio-curators, scientists, software developers, designers, and educators, working in a lively and fast-paced environment.

    The successful candidate will be able to take full advantage of the benefits of working at an academic institution. Employees are encouraged to engage in professional development, either by attending seminars and training workshops, or by enrolling, tuition-free, in courses provided by Rutgers.
    Requirements

    Ideally the candidate should have in-depth experience with several of the following technologies, languages, and frameworks, or have experience with comparable or related technologies:

    Relational and document databases (MySQL, MongoDB), search tools (ElasticSearch, GraphQL), Java, Python, Javascript, JSON, React/Redux, Node.js, JQuery, HTML, Git, shell scripting, use of modern IDEs.

    Any scientific background would be considered a plus, especially experience in any of the following areas: Molecular Biology, Bioinformatics, Biochemistry, Chemistry, Genomics. Experience working with large and complex scientific datasets would also be a plus.

    While a scientific background is not a requirement for the position, the candidate should be able to demonstrate a willingness and ability to engage with scientists and scientific content, and be interested in working in an academic/research environment.
    Job Description

    Responsibilities for this position will include:

    Design, development and deployment of modern, scalable, reusable web-applications.
    Analysis, refactoring and adaptation of legacy code to conform to new architecture designs.
    Development of complex interactive graphical user interfaces.
    Debugging, testing, troubleshooting.
    Use of and development of automated testing suites.

    Qualifications:

    Masters or B.Sc degree in Computer Science, Biochemistry, Bioinformatics, or a related discipline, or a comparable combination of education and experience developing modern Scientific Web applications.
    Excellent interpersonal, verbal and written communication skills.

Community. Collaboration. Pan-diaspora Science Communication.

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