Scientist II / Senior Scientist, Computational Biology
Core
Identify disease-associated states from cell atlases and use single-cell AI models to predict chemical entities that revert these states to healthy.
Role type
Senior IC computational biologist (drug discovery)
Builds
Proprietary data assets and exploratory drug programs
Domain
Biotech / Computational Biology / Single-cell Omics
Deliverable
production ML models
Required skills
single-cell transcriptomic data analysis, large-scale single-cell atlas analysis, molecular and systems biology, Python programming, data analysis strategy, hypothesis generation
Preferred skills
metabolic or liver disease background, autoimmune disease background, hematology background, other single-cell omics data types, large-scale clinical datasets, statistics, machine learning
Technologies
scRNA-seq, snRNA-seq, Python
Responsibilities
Apply computational biology and machine learning tools to generate insights from high-dimensional molecular datasets; Develop and lead data analysis strategies across diverse biological and clinically relevant projects; Act as computational biology co-lead on drug programs; Present results in interdisciplinary team meetings
Seniority
Senior, hands-on IC
