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, single cell omics, spatial profiling
Preferred skills
multi-omics integration, single cell foundation models, computer vision for cellular imaging, AI agents for workflow acceleration, autoimmune disease biology
Technologies
CRISPR screens, perturb-seq, CITE-seq, scATAC-seq, RNA-seq, ATAC-seq, proteomics, ChIP-seq, CUT&RUN
Responsibilities
Design and perform integrative analyses on multimodal biological profiling datasets; Apply machine learning to compare high-dimensional experimental readouts to disease states; Collaborate with external partners on novel computational approaches; Communicate findings and recommend follow-up actions
Seniority
Principal, hands-on IC