Base: $103,400 to $192,000; bonus/equity: discreti...
Multimodal single-cell genomics analysis
Computational workflows for single-cell data
Cancer cell biology experimental techniques
The Scientist will lead analysis and biological interpretation of multimodal single-cell genomics and epigenomics datasets to elucidate tumor suppressor protein roles in cancer
Job Summary
The Scientist will lead analysis and biological interpretation of multimodal single-cell genomics and epigenomics datasets to elucidate tumor suppressor protein roles in cancer.
This role involves close collaboration with wet-lab, bioinformatics, and AI/ML colleagues to translate mechanistic insights into target and biomarker hypotheses.
Relocation benefits are available and the position offers a competitive salary range with potential discretionary annual bonus and comprehensive benefits.
Matching Summary
The Scientist will lead analysis and biological interpretation of multimodal single-cell genomics and epigenomics datasets to elucidate tumor suppressor protein roles in cancer.
Salary
Base: $103,400 to $192,000; Bonus/Equity: discretionary annual bonus; Benefits: detailed benefits available
Skills & Requirements
Must-have
multimodal single-cell genomics analysis
computational workflows for single-cell data
cancer cell biology experimental techniques
single-cell profiling and multiomics expertise
integration of transcriptomic and epigenomic data
collaboration with bioinformatics and AI/ML teams
Nice-to-have
experience with cancer epigenetics
functional genomics with perturbation screens
scientific leadership and mentoring
strong communication skills
cross-functional project management
knowledge of chromatin remodeling and enhancer biology
Key Requirements
PhD in relevant biological or computational discipline
4+ years academic or industry experience post-PhD
deep knowledge of tumor suppressor protein biology
hands-on expertise in single-cell profiling or multiomics
strong computational skills in Python and/or R
experience in mammalian cell culture and NGS workflows