Data Scientist, Computational Biomedicine (Single-Cell AI)

Harvard University; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Retirement plans

Generous paid time off

Tuition assistance and reimbursement

Commuter benefits and campus perks

Job summary

Harvard University’s Core for Computational Biomedicine (CCB) at HMS seeks a Data Scientist/Computational Biologist to advance multi-omics data analysis and tool development. You’ll design scalable pipelines, implement AI-driven methods, and collaborate across labs to enable reproducible research.

Strong programming skills in R/Python, with experience in single-cell/spatial omics and ML frameworks, are essential.

Qualifications

• Five years of post-secondary education or relevant work experience.
• PhD in Bioinformatics, Biostatistics, Computer Science, Statistics or related field strongly preferred.
• Experience analyzing genetic, genomic, or image data.
• Proficiency in R or Python.
• Experience with single-cell and spatial omics data.
• Working knowledge of git or similar tools for scientific software development.
• Experience writing data publishing tools such as RStudio Shiny or Connect.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong communication and collaboration skills.

Responsibilities

• Collaborate with the CCB team to design, implement, document, and maintain robust analysis workflows across multiple projects.
• Apply AI-enabled methods to accelerate research workflows while ensuring scientific rigor and reproducibility.
• Provide hands-on workshops and guidance to HMS researchers on computational biology best practices.
• Develop and maintain open-source software and data resources with user documentation and community engagement.
• Contribute to integration and analysis of public and newly generated single-cell and spatial omics data.

Skills

R/Python

Single-cell omics

Spatial omics

Machine learning

Git

Shiny/Connect

TensorFlow

PyTorch

Communication

Education

PhD in Bioinformatics/Biostatistics/CS/Statistics or related

Tools

R

Python

Bioconductor

PyPI

TensorFlow

PyTorch

Job description

Harvard University’s Core for Computational Biomedicine (CCB) at HMS seeks a Data Scientist/Computational Biologist to advance multi-omics data analysis and tool development. You’ll design scalable pipelines, implement AI-driven methods, and collaborate across labs to enable reproducible research.

Strong programming skills in R/Python, with experience in single-cell/spatial omics and ML frameworks, are essential.