Professional Development Opportunities

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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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Tenure Faculty position in Computational Oncology

Other

Representative?

Yes

The Computational Oncology Program at Memorial Sloan Kettering Cancer Center (MSK) is inviting applications for tenure track faculty positions at the level of Assistant and Associate Member. Cancer research has firmly moved towards quantitative and data driven science. Responding to this challenge, we are seeking exceptional early to mid-career candidates to develop independent research programs that will grow and advance computationally focused cancer research at MSK. We are seeking candidates to develop innovative research programs to drive computational methods development and applied translational data analysis in cancer biology and clinical care.

Deadline:

Dec 31, 2020

Assistant Professor

(Non-Post-Doc) Working Professionals

Representative?

Yes

The Quantitative and Computational Biology (QCB) section in the Dornsife College of Letters, Arts and Sciences at the University of Southern California invites applications for a tenure-track Assistant Professor position in any area of computational biology. Members of groups historically underrepresented in computational biology and those from non-traditional backgrounds are strongly encouraged to apply.

Deadline:

Oct 15, 2020

Senior Backend Software Engineer

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

Representative?

Yes

Reading and understanding the DNA sequence of microbes and microbial communities is a fundamental part of engineering genomes at Zymergen. The Next Generation Sequencing (NGS) and Metagenomics Software team is tasked with building the computational infrastructure to track, analyze, and evaluate the massive amount of raw sequence data generated at Zymergen and make that data useful for scientists across the company.

Deadline:

Dec 31, 2020

BioInformatics Engineer I/II

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

Representative?

Yes

Zymergen is developing its cloud-based data processing infrastructure to support annotation and biological analysis of key strain genomes.

Deadline:

Dec 31, 2021

Data Science Intern

Graduate Students

Representative?

Yes

Our Data Science group specializes in analyzing and building models to help make sense of large datasets resulting from bio-sensors, digital pathology, clinical informatics, molecular assays, and patient surveys. We combine domain knowledge and programming expertise with statistical and machine learning knowledge to build scalable models and solutions that help power Verily’s various product areas. We are looking for interns with skill and interest in any of computational biology, digital pathology, clinical informatics, and bio-sensor processing.

This year our intern projects will support exciting emerging, early stage innovations in biology and pathology; novel devices deployed in clinical studies; and analysis of health system records in disease management applications. The internship project will include development and deployment of predictive models on various datasets in the aforementioned areas, as well as building specialized software infrastructure to enable the data science work.

Deadline:

Nov 27, 2020

Postdoctoral Fellow

Post-Docs

Representative?

Yes

We are seeking highly motivated postdoctoral fellows to join Dr. Benjamin Greenbaum’s new laboratory at Memorial Sloan Kettering Cancer Center in New York. We are establishing a new program in the field of Computational Immuno-Oncology, bridging computational and immune oncology, motivated by using multiomic data and new computational tools from fields such as machine learning, evolutionary biology, and statistical physics to utilize datasets at MSKCC to better understand productive immune recognition of tumors and patient response to immunotherapies. Trainees in this new endeavor will help define quantitative approaches to cancer immunology. The lab focuses on quantitative biology at the intersection of cancer research, immunology, evolutionary biology, and virology. In particular we are interested in understanding the impact of tumor-immune interactions and immune ecology on tumor evolution. We are seeking early career scientists with research expertise and interest in computational biology and bioinformatics to lead projects around these topics in close collaboration with experimental and clinical investigators. Applicants should have an interest in quantitative approaches to cancer immunology and tumor evolution. Applicants must possess a PhD in relevant discipline such as computer science, physics, bioinformatics, evolutionary biology, and computational biology and have a demonstrated publication track record. Candidates seeking an academic or industry career are encouraged to apply. A research background in cancer evolution and immunology would be considered an asset.

Thank you for considering MSK for your postdoctoral training. We seek candidates committed to advancing diversity, equity and inclusion (DEI) in our research community. At MSK, diversity encompasses the variety of personal experiences, values and worldviews that result from differences in race, ethnicity, gender, age, religion, national origin, language, abilities/disabilities, sexual orientations, socioeconomic status, geographic region and more.

Interested candidates should send a cover letter indicating the reason for the application, curriculum vitae, and the names and contact information for 3 references to Cristina Radu at CompOncBST@mskcc.org. Dr. Greenbaum’s lab is located at 321 East 61st Street, New York, NY 10065.

Deadline:

Dec 31, 2020

Associate Scientist / Sr. Associate Scientist, Biology

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

Representative?

Yes

Since 2006, 23andMe’s mission has been to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health and personal understanding.

23andMe's Therapeutics team is committed to discovering and developing new therapies that can offer significant benefits for patients. This dedicated research and development group in South San Francisco identifies novel targets using 23andMe's genetic database and performs preclinical research to advance programs for disease areas with high unmet need.

We are seeking an outstanding Associate Scientist or Senior Associate Scientist to join a collaborative, cross-functional team focused on the biological characterization of drug targets and the preclinical development of drug compounds. Successful candidates will have experience applying molecular and cell biology approaches to elucidate target function and drug mechanism of action.

More information about our Therapeutics team is available at https://therapeutics.23andme.com/.

Deadline:

Oct 19, 2020

Annotations Scientist

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

Representative?

Yes

With the world’s largest database of more than ten million genotyped customers, 23andMe is at the forefront of using human genetics to advance biomedical research and transform healthcare. Join our growing research team in translating genetic discoveries into insights into molecular biology of human traits and diseases.

As a Scientist I/II, Bioinformatics (Genome Annotation) at 23andMe, Inc. the candidate will work closely with our statistical genetics and computational biology teams to source, curate, and implement databases for the analysis of genomic data in support of 23andMe’s drug target discovery and other research efforts.

Deadline:

Oct 19, 2020

Bioinformatic Specialist

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

Representative?

Yes

The Shalek Lab (http://shaleklab.com, MIT, Broad Institute, and Ragon Institute) specializes in leveraging novel single-cell genomic approaches to understand the behavior of complex biological systems. For this position, the lab is seeking a specialist will be working on projects with a specific focus on infectious disease, primarily in the study of the host response to tuberculosis infection. Research questions will center on understanding the relationship between T cell clonality and control of MTB but also extend to studies of initial granuloma formation and how cells communicate and interact with their microenvironment. The core technique learned and applied will be Seq-Well, an in-house and customizable platform for single cell RNA-sequencing scRNA-seq library generation from thousands of cells in parallel. The project will entail careful consideration of study design; interfacing with clinical teams and researchers; utilizing cloud computing platforms; data analysis involving Bash, Python, and R; interpreting and contextualizing findings; and communicating the results. The candidate will also lead the efforts on summarizing, visualizing and reporting (in the format of slides) the analysis results to the investigator and experimental collaborators. You must be capable of working in an interactive team environment while conducting self-directed research within broader goals set by group. The role will also involve some development and parallelization of efficient and user-friendly pipelines and management of databases and data storage repositories. Will consider Masters degree candidates with experience.

Deadline:

Jun 30, 2021

Bioinformatics

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

Representative?

Yes

There are a variety of internship positions at Illumina for the summer of 2021 and my group will be hosting several interns for exciting projects such as improving our understanding of the genetic variation in clinically actionable genes, quantifying global genomic diversity, and building global reference genomes. Feel free to email me directly to learn more about our group or apply to these positions directly using the attached link.

Michael A Eberle, PhD
Senior Principal Bioinformatics Scientist

Deadline:

Oct 31, 2020

Research Assistant Professor Position in Metabolomics Bioinformatics

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

Representative?

No

Research Assistant Professor Position in Metabolomics Bioinformatics

Description of work
The Department of Bioinformatics and Genomics, within the College of Computing and Informatics at the University of North Carolina at Charlotte, invites applications for a research track assistant professor faculty member with expertise in computational metabolomics or computational mass spectrometry. The successful candidate will work with the research team of Dr. Xiuxia Du. Primary responsibilities include pursuing research, seeking extramural funding, and generating knowledge in the forms of publications  and intellectual property.  

Essential duties and responsibilities
The successful candidate will be expected to conduct research on NIH grants in the fields of computational metabolomics and exposomics. Essential duties and responsibilities will include working with the Du-Lab team in designing, implementing, and testing novel computational algorithms, software tools, and web applications. In addition, the individual is also expected to participate in preparing manuscripts, scientific presentations, and grant proposals. This position currently has NIH funding for four years with a potential for an additional one year extension. The successful candidate will have the opportunity to pursue external funding as a PI or co-investigator in order to develop an independent research program. Additional responsibilities will include mentoring undergraduate and graduate students and postdoctoral researchers. Preference will be given to candidates with demonstrated prior experience in software development and mass spectrometry data analysis.  

Required qualifications 

An earned doctorate in mathematics, computer science, or related discipline.
Proficient in Python, Java, JavaScript, C#, or other programming languages
Extensive experience in the development of web applications.
Having completed 2 or more years of postdoctoral training.  
Recent publication record in the field of metabolomics informatics 
2 years of hands on metabolomics algorithm development 
Apply
Interested candidates should apply electronically at https://jobs.uncc.edu (position number 001062). The application must include a cover letter describing the applicant’s interests in metabolomics bioinformatics research, CV, and contact information for three references. 

For questions about the position or the application process, please contact Xiuxia Du at xiuxia.du@uncc.edu  For other information about the Du-Lab, please visit www.du-lab.org 

The successful candidate will be required to provide an official transcript of their highest earned degree and submit to a criminal background check. 

As an EOE/AA employer and an ADVANCE institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups.

Deadline:

Oct 31, 2020

Senior Data Engineer, Cheminformatics/Bioinformatics

(Non-Post-Doc) Working Professionals

Representative?

Yes

We are looking for a data engineer or data scientist with strong database and software engineering skills, ideally in a scientific domain such as cheminformatics or bioinformatics. You will be contributing to the design and development of massive cheminformatic datasets for machine learning, with the opportunity to construct novel analyses which inform our ML directions for drug discovery research. As a member of the R&D team, you’ll have the chance to interact daily with software engineers, machine learning scientists, computational chemists, and fellow cheminformaticians.

Deadline:

Nov 30, 2020

Bioinformatics Data Engineer

Graduates/Post-Baccs

Representative?

Yes

Bioinformatics Data Engineer
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the Allen Institute for Immunology is to advance the fundamental understanding of human immunology through the study of immune health and diseases where excessive or impaired immune responses drive pathological processes. The Institute will employ a multi-disciplinary team approach in collaboration with academic centers of human immunology to generate novel mechanistic insights into the immune synapse in health and in diseases such as autoimmunity or oncology. The Institute will simultaneously provide a foundational data set and tools for future immunological research as well as a novel collaboration portal for the broader scientific community.
The Allen Institute for Immunology is seeking a Bioinformatics Data Engineer (Data Scientist) with broad experience in developing computer codes/scripts to automate the analysis of omics data, especially next generation sequencing (NGS) data, to join our Informatics and Computational Biology team.
You will be part of a multidisciplinary team and will be responsible for (i) development and implementation of data processing and analysis software as needed, (ii) assisting in both pipeline and exploratory analysis of data from diverse assays and sample types, (iii) working towards visualizations and reports for internal and external dissemination. As such, ideal candidates should have a good understanding of sequencing technologies, and a proven track record of development of analytical software packages. This role includes analysis and integration of “big data” types, and working in close collaboration with the software development team for deployment on our interactive cloud environment to ensure user accessibility and generation of actionable insights. You will also support technology development projects in collaboration with the Molecular Biology and Immunology teams.
Good judgment and problem-solving skills are required for recognizing anomalous data, identifying and fixing code bugs and participating in data-driven algorithm design and improvement. A successful candidate will have demonstrated success in big data science, code optimization and deployment. The Bioinformatics Data Engineer must have excellent attention to detail and the eagerness to work in a team science, deadline-driven atmosphere.
Essential Functions
Design and develop software programs to optimize scRNA-seq, scATAC-seq & CITE-seq processing pipelines and analysis algorithms including PCA and dimensionality reduction
Deploy automated pipelines in our interactive cloud environment with graphical user interface to facilitate user accessibility
Publish codebase or software as part of high impact publications or releases
Integrate multiple data streams for “Big Data” analysis (examples include scRNA-seq, scATAC-seq, flow cytometry, WGS)
Generate interactive data visualizations and work with end users to identify actionable insights
Exploratory data mining
Meet production deadlines for data analysis and be able to pivot between multiple projects
Required Education and Experience
Bachelor's degree in a big data computational field (e.g., Bioinformatics, Computer Science, Biostatistics, Physics, Mathematics) with a minimum of 2 years experience in analyzing omics data.
Demonstrated success in a multidisciplinary team environment.
Good understanding of sequencing technologies, data processing and integrative analysis
Fluency in Java, Python, R and Unix shell scripting.
Experience in Big Data analysis, code optimization & parallel programming. Proven experience with big data analysis technical and languages such as Apache Spark, BigTable, Scala or Rust.
Good knowledge of version control systems such as Git
Strong organizational, teamwork, and communication skills
Attention to detail, and good problem-solving skills
Preferred Education and Experience
Masters or PhD in Bioinformatics/Computational Biology or similar
Familiarity with immunology
Understanding of Flow Cytometry and CyTOF analysis a plus
Familiarity with cloud computing
Ability to implement, test, and share new computational tools quickly, in an iterative manner, after feedback from experimental, data production, and analysis teams
Excellent work ethic displayed as a reliable, self-motivated, enthusiastic team player
Ability to learn new programming languages and packages
Eager to learn new skills
Work Environment
Working at a computer and using a mouse for extended periods of time
Expected Hours of Work
May need to work outside of standard working hours at times
Travel
Some travel may be required

Additional Comments
This role is currently able to work remotely full-time, this may change and you may be required to work onsite as safety restrictions are lifted in relation to Covid-19.
We are open to full-time, part-time, and/or contract work for this role. When you apply, please specify which work arrangement you desire. We are flexible.
**Please note, this opportunity does sponsor work visas**
**Please note, this opportunity offers relocation assistance**
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

Deadline:

Bioinformatics Scientist – Immunology

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

Representative?

Yes

Bioinformatics Scientist – Immunology
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the Allen Institute for Immunology is to advance the fundamental understanding of human immunology through the study of immune health and disease where excessive or impaired immune responses drive pathological processes. The Institute will employ a multi-disciplinary team approach in collaboration with academic centers of human immunology to generate novel mechanistic insights into the immune synapse in health and in diseases such as autoimmunity or oncology. The Institute will simultaneously provide a foundational data set and tools for future immunological research as well as a novel collaboration portal for the broader scientific community.
The Institute is seeking an outstanding Bioinformatics Scientist with deep expertise in computational analysis of the immune system, including but not-limited to multi-modal data integration, longitudinal analysis, network/pathway analysis, perturbation analysis, biomarker discovery, and iterative/interactive data visualization methods.
The institute is launching a series of collaborations (https://alleninstitute.org/what-we-do/immunology/) focused on understanding the behavior of the immune system in rheumatoid arthritis (RA), inflammatory bowel disease (IBD), melanoma, multiple myeloma (MM) and normal healthy human cohorts. In RA, we are interested in understanding the mechanisms driving progression from pre-symptomatic to clinical RA. In IBD patients receiving standard of care biological therapies, in melanoma patients receiving checkpoint blockade, and in MM patients receiving stage specific interventions including cellular therapies, we will compare responders to non-responders and matched controls.
Blood and other tissue samples from patients will be collected at multiple time points spanning diagnosis, treatment, and post-treatment; and will be characterized by multiple high-throughput assays such as single-cell RNA-seq, single-cell epigenomics, flow cytometry, CyTOF, TCR-seq, plasma proteomics, and whole-genome sequencing. Equivalent longitudinal data will be collected from age-matched healthy volunteers undergoing annual vaccinations to create a reference data set on normal inter- and intra-individual immune system variations.
Reporting to the Director of Informatics & Computational Biology at the Allen Institute for Immunology, the ideal candidate is a self-motivated team player who uses computational methods to advance human immunology through scientific leadership, and individual and team contributions.
Essential Functions
Process and analyze complex single cell datasets (e.g. scRNA-seq) to derive meaningful biological results to help inform potential next steps including experimental validation, publication or patent. The institute will be generating thousands of such data sets, with each data set requiring complex filtering and interpretation by integrating across data types (e.g. flow cytometry and scRNA-seq)
Be part of a collaborative environment in prioritizing potential leads through literature review and experimental validation
Required Education and Experience
Scientist I: PhD in bioinformatics/biostatistics/computational biology applied to immunology
Scientist II: PhD in bioinformatics/biostatistics/computational biology applied to immunology. Plus a minimum of 3 years post-PhD experience. Significant contributions to the field
Senior Scientist: PhD in bioinformatics/biostatistics/computational biology applied to immunology. Plus a minimum of 5 years post-PhD experience and evidence of scientific leadership Demonstrated track record of delivering cutting-edge research in bioinformatics & computational systems immunology as evidenced by high impact publications and significant contributions to the field
Deep experience with some or all of the following single cell technologies: FACS, CyTOF, single-cell RNA-seq, single-cell epigenomics
Preferred Education and Experience
Good understanding of immunology and disease transitions
Proven track record of setting and meeting goals/milestones/deliverables across multiple projects
Good oral and written communication skills in presenting analysis of complex data types
Deep expertise in R and/or Python, Git, Unix shell scripting, and batch processing
Proven ability to work and think across disciplines
Strong team-work skills and ability to coordinate collaborations with the Institute’s Experimental Immunology and Molecular Biology teams and with our research partners
Work Environment
Working at a computer and using a mouse for extended periods of time
Expected Hours of Work
May need to work outside of standard working hours at times
Travel
3-6 trips per year
**Please note, this opportunity offers relocation assistance**
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

Deadline:

Sep 17, 2020

Computational Scientist I, GWAS

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

Representative?

Yes

PROGRAM DESCRIPTION

Join our talented team of bioinformaticians dedicated to understanding the genetics of cancer. We are seeking an enthusiastic, creative, and collaborative bioinformatics scientist to support our broad portfolio of genome-wide association studies (GWAS).

The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world’s most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Gaithersburg, MD and operated by Leidos Biomedical Research, Inc. We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of the 70+ investigators in DCEG. Our bioinformaticians have both the passion to learn and the opportunity to apply their skills to our rich and varied genotyping and sequencing datasets, generated in support of DCEG’s multidisciplinary family- and population-based studies. Working in concert with the epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program, CGR conducts genome-wide discovery studies and targeted regional approaches to identify the heritable determinants of various forms of cancer.

Leidos recognizes the importance of balance and flexibility in our work environment and offers a variety of competitive benefits including relocation and support for continued learning. Additionally, we are committed to the recruitment, retention, and development of a diverse group of employees. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

KEY ROLES/RESPONSIBILITIES

- Perform large-scale genotyping data QC, phasing and imputation, population structure testing, association studies, meta-analysis, and fine mapping
- Contribute to building, benchmarking, and maintaining bioinformatics pipelines to facilitate high-throughput genomic data analysis in HPC and cloud environments
- Harmonize and maintain diverse datasets and associated metadata, including performing meta-analyses of data run on multiple platforms and/or externally generated data
- Thoughtfully synthesize results into clear presentations (including QQ-plots, Manhattan plots) and concise summaries of work to support recommendations for next steps
- Perform advanced research including multiplicative interaction studies, pathway-based studies, and integrative analyses from multiple platforms and various data types
- Collaborate closely with DCEG PIs on scientific manuscript development, submission, and revision activities with significant co-authorship and potentially first authorship opportunities

Deadline:

Nov 9, 2020

Associate Director- Informatics Research Core Facility

(Non-Post-Doc) Working Professionals, Other

Representative?

Yes

Director of the Informatics Research Core Facility
Job ID 34286

We are looking for an experienced computational biologist to lead and contribute to computational discovery and development of bioinformatics at MU. The director will oversee the implementation and ongoing administration of the Informatics Research Core facility (IRCF). The individual is expected to build effective collaborative relationships with researchers and the campus-wide data science and informatics community in order to promote successful publications and funding and in doing so, provide coordination and consulting support for key software platforms that ensure the application of state-of-the-art analytic technologies to basic, applied and translational research. In this role, the director will be expected to bridge the gap between the researcher's need for tools to analyze, visualize, integrate and understand their research data. The director will also develop a sustainable computational training program for graduate students, post-docs and faculty that will ensure MU investigators can expand their labs data analytic capabilities to remain competitive in their respective fields of study. The director will help coordinate efforts to collect, analyze, and preserve data toward a broader mission to sustain scalable approaches for interfacing with other core facilities as increasingly large quantities of study data accumulate from a variety of scientific instruments, particularly next generation sequencing projects involving single cell and RNA analysis. Another key contribution will be the participation in individual and large center proposals.

Minimum qualifications:
Ph.D. in Bioinformatics, Computational Biology, Computer Science or related fields with at least 4 years of post-doctoral or work experience.

Candidates will be evaluated on:
• Proven record of applying or developing computational biology approaches to generate new hypotheses.
• Proven record of conducting collaborative research.
• Proven record of contributing to cross-disciplinary projects and working in large teams.
• Excellent interpersonal and communications skills and ability to lead in a matrix organization
• Fluency in programming and scripting languages is required (e.g., R, Python, Perl) and their use in a LINUX environment.
• In depth knowledge of integrative omics analysis, next generation sequencing, data mining, complex data analysis and statistics.
• Experience in computational approaches for whole genome analysis and single cell sequencing technologies is an additional benefit.

The University of Missouri is an equal opportunity/access/affirmative action/pro-disabled and veteran employer.

Deadline:

Sep 25, 2020

Senior Scientist, Computational Protein Design

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

Representative?

Yes

Job description

Menten AI is looking for a computational scientist with expertise in computational protein design and modeling to join preclinical research and drug discovery efforts and help us create the next generation of protein-based therapeutics. The scientist will become a strategic member of a multidisciplinary and innovative research group and will work closely with the development team to apply new computational methods and design new protein and peptide drug candidates. We are looking for a rebel and innovator who can embrace and contribute to the company’s positive culture of support and growth.

If you are looking to co-create a paradigm shift in drug discovery - this job is for you!

Core responsibilities
Create new protein and peptide drug candidates using our computational methods
Contribute to and apply state-of-the-art algorithms to create the next generation protein-based therapeutics
Identify new applications or areas for computational protein and peptide design and implement these into design workflows
Develop and maintain a deep understanding of computational protein design methods
Analyze experimental results to suggest and design the next experiments
Represent the company’s research by publishing articles, patents, and presenting research at meetings’/conferences
Contribute to and maintain a positive culture of support, integrity, mindfulness, compassion, resilience, accountability, and growth for the company and its employees

What we offer
Menten AI is all about helping you lead a healthy and meaningful life in and outside of work. We won’t lure you into staying longer with free dinners or dry-cleaning. We believe that your best work starts with a healthy lifestyle filled with freedom to rest, create, exercise, and spend time with the ones you love.

Benefits & Perks
Work from anywhere! This is a remote-optional position that allows you to work from anywhere in the world as long as you have a reliable internet connection and are willing to sync with the rest of the team in North American time.
Medical, dental and vision insurance
4 weeks of paid vacation every year
Wellness & Fitness Allowance
We’ll pay up to $100/month towards a product, service, or experience that enhances your overall physical or mental well-being. There are no clear rules here, but for example you can use this towards that marathon race you’ve been wanting to run, gym memberships, running shoes, meditation or yoga classes, etc. Whatever works for you.

Deadline:

Sep 25, 2020

Computational biologist

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

Representative?

Yes

Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure human health in sewage to understand population health in cities. As Biobot’s first full-time computational biologist, you will define the bridge between our in-house lab and our engineering team. You’ll get to work with a variety of data types, starting with qPCR SARS-CoV-2 concentrations and targeted LC-MS/MS for hundreds of small molecules. As we expand our product offerings, you’ll lead Biobot’s explorations into leveraging next-generation sequencing and untargeted metabolomics of sewage, for example to monitor influenza strains or nutritional profiles in a community. Working with our engineering team, you’ll code pipelines to preprocess raw lab results into data used by our data science team to build insights and produce customer visualizations.

Deadline:

Oct 31, 2020

Associate Lab Director, Biological & Environmental Systems Science

(Non-Post-Doc) Working Professionals

Representative?

Yes

Purpose
Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace.

We seek to hire an Associate Laboratory Director (ALD) for the Biological and Environmental Systems Science (BESS) Directorate . BESSD leads convergence research in biology, ecology, engineering, data discovery, physical sciences, and computing to advance U.S. competitiveness in the global bioeconomy and Earth system sustainability.

The ALD serves as an executive member supporting the Laboratory Director in accomplishing ORNL mission. In this capacity, you will lead the science and technology programs in biological and environmental sciences with responsibilities in three integrating roles to: 1) establish a compelling vision complemented with a strategic execution plan, 2) strengthen stakeholder engagement and relationship management with major sponsors, and 3) drive staff professional growth and development while creating organizational momentum that enhances our facilities and capabilities.

Role and Responsibilities
• Lead biological and environmental research for the Laboratory including developing and implementation of scientific strategy to sustain national and international prominence.
• Serve as the primary liaison to the DOE Office of Biological and Environmental Research (BER) and
other sponsors (such as NIH), ensuring that the science and technology programs are meeting client needs.
• Develop research programs and strategic partnerships with other national laboratories, colleges and
universities, other research institutions, and public and private corporations.
• Drive strategic initiatives for the directorate which include: genes to ecosystem, bioimaging, data
science, bioenergy, ecosystem field experimentation, and climate sciences.
• Establish new capabilities and facilities that are foundational to the enduring missions of ORNL.
• Work with the Laboratory Director and Leadership Team to identify and implement strategic research
opportunities, including LDRD (Laboratory-Directed Research and Development) priorities.
• Maintain compliance with Laboratory policies, standards, and procedures as documented in SBMS.
Implement operational standards to meet the expectations of the Laboratory Agenda.
• Manage programmatic funds and discretionary investments for research and program development.
• Act as steward for laboratory operations, facilities, capital, and equipment. Direct line management
responsibilities for the Environmental Sciences Division, Biosciences Division, and the DOE Center
for Bioenergy Innovation.
• Advise leadership of research activities, program development, strategic initiatives and associated
operational risks and hazards.
• Create and nurture an environment that promotes and embraces a diverse workforce.
• Promote a culture of scientific excellence, while performing work in a safe and secure manner.
• Foster initiatives for employee development through mentoring, performance, and succession planning.
• Develop and manage self-assessment programs assuring alignment with the Laboratory Critical Outcomes, the Laboratory Agenda, and other internal or DOE performance metrics.
• Act as the primary Directorate contact, representing the Directorate on Lab-Level committees, task forces, and working groups with a shared responsibility for the overall lab wide science and technology strategy.
• Identify staffing and other resource requirements. Support recruiting initiatives in diversity, in
fellowships, and in university relations.
• Integrate and implement commercialization activities through the Directorate’s business plan and strategies.

Qualifications:
• Ph.D. in a technical field related to the research conducted in a large Division or Directorate, with 3–10 years of demonstrated executive management experience, including developing and leading large, complex and multidisciplinary research programs and organizations.
• Experience communicating with key stakeholders, clients, program sponsors, and internal staff and regarded as a leading expert and visionary.
• Demonstrated experience successfully developing, implementing, and executing scientific strategy with engagement from critical stakeholders.
• Experience with the DOE Office of Science is preferred, especially Biological and Environmental
Research.

Requirements
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.
To learn more about the Biological And Environmental Systems Science Directorate, please visit our Biological And Environmental Systems Science Brochure

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Deadline:

Sep 19, 2020

Associate Lab Director, Energy Science & Technology Directorate

(Non-Post-Doc) Working Professionals

Representative?

Yes

Purpose
Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace.

We seek to hire an Associate Laboratory Director (ALD) for the Energy Science and Technology Directorate (ESTD). ESTD plays a pivotal role in America’s energy transformation into a clean, efficient, flexible, and secure energy future. Our researchers deliver breakthroughs in energy from generation to distribution and storage to end use in support of Department of Energy missions. ESTD offers a unique culture of entrepreneurship for translating science into solutions for the most critical problems facing society at the nexus of energy and security.

The ALD serves as an executive member supporting the Laboratory Director in accomplishing ORNL mission. In this capacity, you will lead the science and technology programs in energy science and technology with leadership responsibilities in three integrating roles to: 1) establish a compelling
future vision complemented with a strategic execution plan, 2) strengthen stakeholder engagement and relationship management with major sponsors, and 3) drive staff professional growth and development while creating organizational momentum that enhances our facilities and capabilities.

Role and Responsibilities
• Lead energy science and technology research for the Laboratory including developing and implementation of scientific strategy to sustain national and international prominence.
• Serve as primary liaison with EERE, OE, CESER, and FE ensuring the science and technology research
programs are meeting client needs in coordination with division and program management.
• Develop research programs and strategic partnerships with other national laboratories, colleges and
universities, other research institutions, and public and private corporations.
• Drive strategic initiatives for the directorate in the areas of buildings and transportation science,
manufacturing science, and electrification and energy infrastructures research.
• Work with the Laboratory Director’s office to position the laboratory through strategically Laboratory-
Directed Research and Development opportunities.
• Establish new capabilities, and provide sustainability and growth for applied user facilities that are
foundational to the enduring missions of ORNL.
• Manage programmatic funds and discretionary investments for research and program development.
• Act as steward for laboratory operations, facilities, capital, and equipment. Direct line management
responsibilities for the Buildings and Transportation Science Division, the Manufacturing Science Division, and the Electrification and Energy Infrastructures Division.
• Maintain compliance with Laboratory policies, standards, and procedures. Implement operational standards to meet the expectations of the Laboratory Agenda.
• Advise leadership of research activities, program development, strategic initiatives and associated
operational risks and hazards.
• Develop and manage self-assessment programs assuring alignment with the Laboratory Critical
Outcomes, the Laboratory Agenda, and other internal or DOE performance metrics.
• Act as the primary Directorate contact, representing the Directorate on Lab-Level committees, task forces, and working groups with a shared responsibility for the overall lab wide science and technology strategy.
• Drive commercialization activities through directorate business plans and strategies, as well as collaboration with industries locally and throughout the region.
• Identify staffing and other resource requirements. Support recruiting initiatives in diversity, in fellowships, and in university relations.
• Foster initiatives for employee development through mentoring, performance, and succession planning.
• Create and nurture an environment that promotes and embraces a diverse workforce.
• Promote a culture of scientific excellence, while performing work in a safe and secure manner.

Qualifications:
• Ph.D. in field related to research conducted in a large Division or Directorate with a minimum of 3–10 years of demonstrated executive management experience, including leading large complex and interdisciplinary research programs and organizations.
• A nationally recognized research stature in one of the disciplines within Energy Science and Technology and experience in managing large multidisciplinary science programs.
• Experience with communicating with key stakeholders, clients, program sponsors, internal staff, and regarded as a leading expert and visionary in the field of energy, or engineering sciences.
• Demonstrated experience of successfully developing, implementing, and executing scientific strategy with engagement from critical stakeholders.
• Experience with the DOE Offices of Energy Efficiency and Renewable Energy; Electricity; Cybersecurity, Energy Security, and Emergency Response; and Fossil Energy is preferred.

Requirements
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.
To learn more about the Energy Science and Technology Directorate, please visit our Energy Science and Technology Directorate Brochure
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Deadline:

Sep 19, 2020

The Black Women in Computational Biology Network

Community. Collaboration. Pan-diaspora Science Communication.