Scientist, Computational Biology
Core
Scientist role analyzing large-scale perturbational and single-cell datasets to derive mechanistic biological insights for disease mechanisms and drug target nomination.
Role type
Senior IC computational biologist (single-cell/perturbational genomics)
Builds
Virtual Cell Initiative (full-stack virtual cell model) and Alzheimer's Disease Initiative (drug candidates for neurodegeneration)
Domain
Biotech / Computational Biology / Functional Genomics
Deliverable
production ML models | research
Required skills
single-cell RNA-seq analysis, Perturb-seq/CRISPR screen analysis, multi-omic data analysis, gene regulatory network inference, perturbation-effect estimation, Python, reproducible computational workflows, cloud computing
Preferred skills
cell identity analysis, dimensionality reduction, gene module analysis, neurobiology, immunology, cancer biology
Technologies
Python, single-cell RNA-seq, Perturb-seq, CRISPR screens, single-cell ATAC-seq, multiome
Responsibilities
Conduct tertiary analyses of large-scale Perturb-seq, single-cell, and multi-omic datasets to identify functional relationships between genes and cellular phenotypes. Partner with experimental teams on iterative study design, analysis, interpretation, and validation. Work with bioinformatics teams to define clean handoffs from primary analysis to exploratory modeling. Develop reusable analysis notebooks, dashboards, software tools, and data resources. Present findings to internal stakeholders and contribute to preprints or open-source projects. Mentor colleagues and interns.
Seniority
Mid-Senior, hands-on IC
