Scientist, Computational Biology
Core
Subject matter expert for analyzing high-dimensional biological datasets to drive early drug discovery efforts and design experiments.
Role type
Senior IC computational biologist (oncology focus)
Builds
Internal computational tools, pipelines, and reproducible analysis workflows for transcriptomic and genomic data
Domain
Biopharmaceuticals / Oncology target discovery
Deliverable
production ML models
Required skills
High-dimensional data analysis (bulk/single-cell transcriptomics), genomic data analysis, oncology target discovery, pipeline development, cloud deployment, version control, containerization, R, Python
Preferred skills
Spatial transcriptomics, ChIPseq, ATACseq, CRISPR screens, high throughput proteomics, public dataset experience (DepMap, TCGA, GTEx)
Technologies
R, Python, cloud platforms, containerization tools
Responsibilities
Analyze bulk and single-cell transcriptomic datasets; design and interpret in vitro/in vivo studies; build and maintain computational pipelines; manage external analytical partnerships; contribute to scientific publications
Seniority
Senior, hands-on IC
