Scientist 3, Genomic Technology, Oncology

Roche • South San Francisco, CA

22h

About The Position

The Opportunity Roche/Genentech’s Department of Cell and Tissue Genomics – Oncology is seeking a creative and highly motivated Scientist to drive discovery biology in the role of tumor suppressor proteins (TSP) in cancer using state-of-the-art single-cell and epigenomic profiling. The role is a mixed computational and experimental position focused on generating, analyzing, and interpreting multimodal single-cell datasets (e.g. scRNA-seq, scATAC-seq, multiome, CITE-seq), chromatin profiles (e.g. CUT&TAG, CUT&RUN, ChIP-seq) and functional perturbation studies to elucidate how TSP regulate cell states, epigenetic mechanisms, and therapeutic vulnerabilities across cancer models and patient samples. The successful candidate will partner closely with wet-lab, bioinformatics, and AI/ML colleagues to translate mechanistic insights into target and biomarker hypotheses. This position is in close collaboration with the laboratory of Anwesha Dey in Discovery Oncology at Genentech.

Requirements

• PhD in cancer biology, molecular biology, genomics, computational biology, bioinformatics, or a related discipline, plus typically 4+ years total academic and/or industry experience (post-PhD).
• Deep knowledge of TSP biology in cancer, including TSP-regulated transcriptional programs, stress responses and common mutation classes (loss-of-function, dominant-negative, gain-of-function).
• Hands-on expertise in single-cell profiling and multiomics (generation and/or analysis), including at least one of: scRNA-seq, scATAC-seq, multiome, CITE-seq, spatial transcriptomics, or high-content/pooled perturbation screens.
• Strong computational skills for biological data analysis: Python and/or R, version control (Git), reproducible workflows, and familiarity with common single-cell ecosystems and tools.
• Experimental experience in cancer cell biology, including mammalian cell culture and at least one of: NGS library preparation, single-cell assay workflows, or chromatin profiling.
• Demonstrated ability to manage multiple projects, work in highly cross-functional settings, and communicate complex results clearly to diverse audiences.

Nice To Haves

• Expertise in cancer epigenetics, including chromatin remodeling, enhancer biology, transcription factor networks, and epigenetic drug mechanisms.
• Experience analyzing chromatin profiling data (ATAC-seq, ChIP-seq, CUT&RUN, CUT&TAG) and/or single-cell epigenomic data; familiarity with integrative regulatory modeling and motif/TF activity inference.
• Experience with functional genomics approaches that couple perturbations with single-cell readouts (e.g., Perturb-seq/CROP-seq, CRISPR screens with multiomic readouts).
• Track record of impactful publications in TSP biology, cancer epigenetics, and/or single-cell genomics; evidence of scientific leadership and mentoring.

Responsibilities

• Lead analysis and biological interpretation of multimodal single-cell genomics and epigenomics datasets from in vitro models, in vivo studies, and patient samples, with emphasis on TSP alterations and their role in response to therapy.
• Integrate transcriptomic and epigenomic signals to define cancer cell states, lineage plasticity, and resistance programs associated with wild-type and mutant TSP contexts.
• Develop and apply robust computational workflows for single-cell data processing, QC, integration, differential testing, trajectory inference, and gene regulatory network inference; collaborate with bioinformatics/AI-ML partners on predictive and interpretable models for target discovery.
• Partner with experimental scientists in the Dey lab to design functional follow-up (e.g. CRISPR perturbations, pharmacologic modulation, reporter assays) to validate epigenetic mechanisms in relevant disease systems.
• Communicate findings through high-quality internal presentations, cross-functional forums, and external publications/conferences; contribute to a collaborative, inclusive lab culture and identify new research opportunities in the TSP space.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree