Co-op, Computational Biology

Role Summary

Co-op, Computational Biology. Six-month student role from January to June 2026. The Genomics and Computational Biology team performs computational analysis on genomics/transcriptomics datasets, develops NGS data analysis pipelines, and evaluates cutting-edge computational tools. Collaboration with discovery teams to answer drug development questions related to target identification, engagement, and validation. Datatypes include RNAseq, miRNAseq, sc/snRNAseq, spatial transcriptomics, and proteomics of patient tissues and model systems.

Responsibilities

• Analyze internal and publicly available spatial transcriptomic datasets (e.g., Xenium, Visium HD).
• Apply state-of-the-art AI/ML models for spatial transcriptomic data analysis and data integration across platforms.
• Write code in Python/R to perform tasks.
• Attend scheduled team bi-weekly meetings.
• Provide bi-weekly progress updates.

Qualifications

• Experience with computational analysis of spatial transcriptomic data.
• Experience with AI/machine learning methods development or application in biological sciences.
• Coding experience in Python and R and data visualization tools.
• Legal authorization to work in the U.S., at least 18 years of age prior to the start date, and enrollment in an accredited program.

Education

• Pursuing PhD in computational biology or related area.

Additional Requirements

• Not applicable beyond eligibility criteria listed.