Biomedical Data Scientist — Single-Cell & AI Workflows

Harvard University; Massachusetts; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Generous paid time off

Health insurance starting day one

Tuition assistance and reimbursement

Commuter benefits

Job summary

Harvard University’s Core for Computational Biomedicine (CCB) within HMS seeks an experienced Data Scientist/Computational Biologist to advance data science pipelines for single-cell and spatial omics at the forefront of biomedical discovery.

You will develop scalable tools and workflows, collaborate with experimental labs, and contribute to methodological advances in bioinformatics and AI-enabled research, while communicating results across teams.

Qualifications

• PhD preferred; strong candidates with relevant post-secondary education and research experience will be considered.
• Experience analyzing genetic, genomic, or image data.
• Proficiency in R or Python programming.
• Ability to work independently and as part of a team.
• Experience with single-cell and spatial omics data.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.

Responsibilities

• Collaborate on development and maintenance of scalable, reproducible pipelines.
• Apply AI-enabled methods to accelerate research workflows with rigorous scientific standards.
• Provide technical guidance and deliver hands-on workshops for HMS researchers.
• Develop open-source software and data resources; contribute to Bioconductor and PyPI distributions.

Skills

R/Python programming

Single-cell data analysis

Spatial omics data analysis

Strong communication skills

Independent work

Team collaboration

Education

PhD in Bioinformatics/Biostatistics/CS/Statistics or related field

5+ years post-secondary education or relevant work experience

Tools

Git or similar version control

R/Shiny or Connect apps

TensorFlow

PyTorch

Job description

Harvard University’s Core for Computational Biomedicine (CCB) within HMS seeks an experienced Data Scientist/Computational Biologist to advance data science pipelines for single-cell and spatial omics at the forefront of biomedical discovery.

You will develop scalable tools and workflows, collaborate with experimental labs, and contribute to methodological advances in bioinformatics and AI-enabled research, while communicating results across teams.