Data Scientist – AI‑Driven Biomedical Analytics

Harvarduniversity; Boston (MA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Harvard University seeks an experienced Data Scientist/Computational Biologist to advance a data-driven research program in the Core for Computational Biomedicine at HMS. The role focuses on processing and integrating single-cell and spatial omics data, developing tools, and building data science products for HMS labs.

The ideal candidate has a PhD in a relevant field, strong R/Python skills, and a track record in computational biology, machine learning, and open-source software development.

Qualifications

• Strong background in bioinformatics or computational biology.
• Experience with single-cell and spatial omics data analysis.
• Proficiency in R and/or Python for data analysis and visualization.

Responsibilities

• Develop scalable, reproducible analysis pipelines.
• Collaborate to design and implement analysis workflows (QC, integration, modeling, reporting).
• Apply AI-enabled methods to accelerate research workflows while maintaining rigor and reproducibility.
• Provide training and workshops to HMS researchers on computational biology practices.

Skills

R/Python proficiency

Quantitative analytics

Communication skills

Independent work

Education

PhD in Bioinformatics/ Biostatistics/ CS

Tools

Git

Shiny/Connect

TensorFlow/PyTorch

Bioconductor

Job description

Harvard University seeks an experienced Data Scientist/Computational Biologist to advance a data-driven research program in the Core for Computational Biomedicine at HMS. The role focuses on processing and integrating single-cell and spatial omics data, developing tools, and building data science products for HMS labs.

The ideal candidate has a PhD in a relevant field, strong R/Python skills, and a track record in computational biology, machine learning, and open-source software development.