Principal Scientist, Computational Biology
Core
Apply computational and statistical approaches to multimodal biological profiling datasets (single cell, multi-omics, spatial profiling) to nominate and validate new targets for Neuroscience, Immunology, and Cardiovascular diseases.
Role type
Principal Scientist, Computational Biology
Builds
Novel targets and compounds for early pipeline programs in Neuro, Cardiovascular, and Autoimmune indications
Domain
Biopharma / Computational Biology / Genomics
Deliverable
production ML models
Required skills
Python or R, machine learning, statistical methodologies, high-dimensional molecular data analysis, CRISCR screen analysis, perturbation experiment analysis
Preferred skills
Biopharma industry experience, single cell foundation models, computer vision for cellular imaging, AI agent usage
Technologies
R, Python, CRISPR screens, perturb-seq, CITE-seq, scATAC-seq, single cell omics, spatial profiling
Responsibilities
Design and perform integrative analyses on multimodal biological profiling datasets; Apply machine learning to compare experimental readouts to disease states; Work with external partners on novel computational approaches; Communicate findings and recommend follow-up actions
Seniority
Principal, hands-on IC
