Senior Data Scientist/Computational Biologist: 687339

Q: What qualifications are required for the Senior Data Scientist role?

Candidates need strong experience in single-cell and spatial multi-omics datasets , pipeline development, and AI-assisted approaches. A PhD or equivalent in computational biology, bioinformatics, or related field is preferred, along with a track record in open-source contributions.

Q: Does this position involve teaching or training responsibilities?

Yes, the role includes developing and delivering hands-on workshops and learning materials for HMS researchers. It is not a traditional teaching load but focuses on internal enablement and training.

Q: What research areas will the Senior Data Scientist focus on?

The position centers on integrative analysis of single-cell and multi-omic datasets , development of scalable pipelines, and AI-enabled tools to support HMS research groups.

Senior Data Scientist/Computational Biologist

Job Description

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for an experienced Senior Data Scientist/Computational Biologist to advance in CCB’s mission to leverage data and computation to transform research and improve health. CCB provides computational and analytic resources to advance scientific discovery within HMS through its multi-disciplinary team of computational and quantitative scientists who work on collaborative projects both within the center and with members of the HMS community. The role will involve processing, analyzing, and integrating public and newly generated single-cell and spatial multi-omics datasets in collaboration with experimental labs at HMS. This will include developing sustainable tools, software packages, and integrated data science products that empower research labs to explore, analyze, and interpret their data.

Responsibilities include:

Faculty-facing analytics and computational biology support

Lead integrative data analyses for HMS research groups, with emphasis on single-cell and multi-omic datasets.

Development and maintenance of scalable, reproducible pipelines

Design, implement, document, and maintain robust analysis workflows.

AI-enabled methods and applied research tooling

Evaluate and implement AI-assisted approaches that accelerate research workflows.

Training, workshops, and internal enablement

Develop and deliver hands-on workshops and learning materials for HMS researchers.

Open-source software and biomedical data asset development

Contribute to and maintain open-source software and data resources.

Frequently Asked Questions

🎓What qualifications are required for the Senior Data Scientist role?

Candidates need strong experience in single-cell and spatial multi-omics datasets, pipeline development, and AI-assisted approaches. A PhD or equivalent in computational biology, bioinformatics, or related field is preferred, along with a track record in open-source contributions.

📚Does this position involve teaching or training responsibilities?

Yes, the role includes developing and delivering hands-on workshops and learning materials for HMS researchers. It is not a traditional teaching load but focuses on internal enablement and training.

🌍Is visa sponsorship available for international applicants?

Visa sponsorship is not explicitly mentioned in the posting. International candidates should confirm directly with Harvard Medical School HR during the application process.

🔬What research areas will the Senior Data Scientist focus on?

The position centers on integrative analysis of single-cell and multi-omic datasets, development of scalable pipelines, and AI-enabled tools to support HMS research groups.

📝How can I apply or learn more about this Harvard position?

Applications should be submitted via the official Harvard channels before the 2026-07-27 deadline. Explore similar research jobs and higher-ed opportunities on AcademicJobs.com.

Senior Data Scientist/Computational Biologist

Harvard University

Boston