Senior Scientist, Computational Biology
Core
Drive early drug discovery efforts by conceiving and evaluating complex experiments, developing analytical approaches for high-dimensional multi-modal datasets, and synthesizing data to resolve nuanced scientific questions.
Role type
Senior Scientist, Computational Biology
Builds
Novel experimental systems, proof-of-concept tools, and quantitative models for drug target discovery
Domain
Biopharmaceuticals / Computational Biology / Drug Discovery
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Statistics, method development, high-dimensional data analysis, multi-modal dataset handling, experimental design, genomics analysis (bulk/single-cell/spatial transcriptomics, CRISPR screens, MAVEs, Perturb-seq), cloud deployment, version control, containerization, R, Python
Preferred skills
Machine learning model development, partnering with algorithms teams
Technologies
R, Python, UK Biobank, TCGA, GTEx, ENCODE, gnomAD, Human Cell Atlas
Responsibilities
Drive development and adoption of novel experimental systems; Develop and apply analytical approaches and statistical methods; Analyze multimodal data to evaluate experimental systems; Apply expertise to evaluate complex experiments and distill information to reach biological conclusions
Seniority
Senior, hands-on IC with strategic thinking
