Job Opportunities

Manager of Finance and Administration - 79871

The Department of Biomedical Data (BDS) seeks a Manager of Finance and Administration. Reporting to the Director of Finance and Administration (DFA), this position will oversee BDS’ financial portfolio, research administration, human resources management, and day-to-day operations. Heading into its fourth year, the Department is relatively new and rapidly growing. This exciting growth has necessitated a re-organization of the administrative team and the creation of this new position. We seek a candidate with a strong financial background to manage our portfolio of ~$18M comprised of federal, non-federal grants, industry partnerships, service centers and operating budgets. The team is comprised of a research administrator and several administrative staff members. The manager will oversee their work and also manage the most complex financial portfolios him/herself. Additionally, the Manager will represent the DFA and department to external constituencies and be responsible for our process excellence work. 

The ideal candidate will possess the necessary financial skills and also the ability to lead, seek out best practices, work effectively with faculty, coach staff and to support the overall mission of BDS. 

Software Engineer (Software Developer 2) - 79843

Stanford University, one of Silicon Valley's largest and unique employers, is recruiting an experienced and energetic Software Engineer within the Department of Biomedical Data Science of the School of Medicine. Stanford's mission is to educate future leaders and promote interdisciplinary, world-class research and teaching. This passion makes Stanford an intensely creative and rewarding place to work.

This outstanding Software Engineer will assume a leadership role in a large NIH-funded project to create open-source web-based and desktop software to annotate, store, search, and process biomedical images. This exciting work will enable researchers to discover image-based indicators of disease that will transform medical care. The software developed will become part of a national infrastructure supporting biomedical research, and will have high impact throughout the medical community. The Software Engineer will be responsible for designing, developing and documenting the software, working with collaborators and users to understand and implement the requirements, and evaluating and disseminating the software. The successful candidate will be self-directed, thrive in a stimulating collaborative research environment, work well with other developers, and be excited by the opportunity to assume an ownership role in creating software infrastructure that will be adopted by medical centers nationally. The candidate will work closely with faculty, research associates, students, developers, and other collaborators.

Research Data Analyst 1 - 79829

The Department of Biomedical Data Science at Stanford University is seeking a Research Data Analyst 1 to write research reports in Oracle SQL, primarily focusing on research pertaining to cardiothoracic surgery and breast cancer. The successful candidate will be able to work independently under general direction, process a wide variety of analytical data and produce analysis-ready data files for research projects.

Front End Developer - 79480

The Department of Biomedical Data Science at Stanford University is looking for an experienced front-end developer to join the ClinGen group in Dr. Carlos Bustamante’s lab. We are part of the NIH-funded Clinical Genome Resource project dedicated to build an authoritative central resource that defines the clinical relevance of genes and variants for use in precision medicine and research. Our stack includes Python (Pyramid), ReactJS, Node.js, ElasticSearch, Postgres, cloud-enabled services, and other open-source tools.

Research Administrator 2 - 79658

The Department of Biomedical Data Science (DBDS) in the School of Medicine is seeking a Research Administrator 2. The successful candidate will be able to work in a dynamic environment, as part of a team, to manage the proposal preparation and post-award financial activities on grants, contracts, gifts, program projects, and federal grants, both routine and complex. We support approximately 25 PI’s and a consolidated budget of around $25M.

Postdoctoral Scholar (Newman Lab)

Faculty Mentor: Newman, Aaron

Department Name: Institute for Stem Cell Biology and Regenerative Medicine & Department of Biomedical Data Science

Postdoctoral Training Position Description:

The Newman Lab, in the Institute for Stem Cell Biology and Regenerative Medicine and the new Department of Biomedical Data Science at Stanford University, is seeking highly creative and driven postdoctoral fellows interested in working at the intersection of biomedical data science and cancer/stem cell biology. A major goal of the lab is the development of innovative computational methods that advance our understanding of normal and neoplastic tissue composition at a molecular and cellular level (e.g., Nature Methods 2015, PMID 25822800). As part of this effort, we employ a variety of genomics approaches, including high throughput sequencing and emerging single cell profiling technologies. Successful applicants will be expected to leverage computational tools to address basic or clinical research questions in diverse areas of cancer/stem cell biology, including tumor differentiation and development, the cellular composition of the tumor microenvironment, and cell lineage relationships in malignant and normal tissues. Opportunities for wet lab biologists interested in data science will also be available. In addition, there will be ample opportunities to work closely with basic and clinical science collaborators, both at Stanford and elsewhere.

The successful applicant will have completed (or be close to completing) a Ph.D. or M.D./Ph.D. in an applied quantitative discipline, such as computational biology, bioinformatics, or biostatistics, with a strong interest in either basic or translational research. A strong background in machine learning and predictive modeling is desired, as is previous experience in common programming languages (e.g., R, Python) and genomic data analysis. Candidates with training in related fields, or in a life sciences discipline without formal computational training, will be considered depending on fit. Prior evidence of ambition, productivity, and creativity are a must, and a track record of conference presentations and first author peer-reviewed publications will be expected. Applicants should enjoy thinking deeply and working independently but also enjoy collaborating in a dynamic, fast-paced team environment.

Appointment Start Date: Until filled

Postdoc Appointment Term: 1 year, with the goal of extending the appointment to 3-5 years.

Required Application Materials: Recent CV, copies of relevant papers, names and contact information for 3 references, and a cover letter briefly describing the applicant’s previous research, scientific interests, and fit for this position.

How to Submit Application Materials: Please send to: and