Scientist 3, Genomic Technology, Oncology Full-time NEW

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.

Key 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.

Who You Are

• 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.

Preferred

• 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.

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of California is $103,400 to 192,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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