Scientist 3 – Translational Medicine, Oncology
Company websiteroche.com (Roche, opens in new tab)
Base salary $120,700 to $224,100
Employer-published annual base salary, USD. Advertised base range in South San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSouth San Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Scientist 3 – Translational Medicine, Oncology
We advance science so that we all have more time with the people we love.
The Translational Medicine organization at Genentech has a vision to transform patient care through borderless, innovative, and rigorous translational science that will catalyze the development of new medicines, accelerate drug development timelines, and discover new therapeutic strategies. To fulfill our vision, we recruit talented and highly motivated scientists to develop and execute innovative biomarker and diagnostic strategies to drive clinical development through all phases of the portfolio, and conduct foundational disease-oriented translational research to maximize our scientific and clinical impact.
We are seeking a dedicated and independent Scientist 3 to lead lab-based translational research and discovery efforts in lung and gastrointestinal (GI) cancers.
Key Responsibilities:
This is a hands-on, laboratory-based position that offers the chance to collaborate closely with teams across Genentech Research & Early Development (gRED) - including Research Oncology, Computational Sciences, and Translational Genomics and Proteomics. As an integral member of this cross-functional team, you will:
- Design and execute experiments to validate biological and therapeutic hypotheses derived from non-clinical, clinical, and real-world data
- Synthesize, analyze, and interpret experimental and computational data in collaboration with experts from other functions
- Elucidate mechanisms of action and therapeutic resistance to tumor microenvironment and tumor targeted therapies (eg next-generation checkpoint inhibitors and antibody drug conjugates) to guide patient selection, pharmacodynamic biomarker assessment, combination treatment strategies, and next-generation target identification
- Identify, evaluate, and validate innovative cell-based, biochemical, and multi-omic assays-including single-cell and functional genomics technologies- to enable scalable hypothesis testing
- Proactively establish new internal and external collaborations to access emerging technologies, datasets, and analytical methods that fuel translational innovation
Qualifications
- Education: Ph.D. degree in Cancer Biology, Cell Biology, Immunology, or related disciplines. Candidates with a BA/BS or MS degree in similar fields, with combined 6+ or 4+ additional years of related experiences, respectively, will also be considered
- Scientific expertise: deep understanding of cancer biology, cancer immunology, and mechanisms of action and resistance to immunotherapies and/or targeted therapies. An understanding of lung and GI cancer disease biology, tumor–immune interactions, and key oncogenic signaling pathways would be advantageous.
- Technical proficiency: proven ability to independently lead hands-on, lab-based research and to develop, optimize, and apply fit-for-purpose experimental assays using relevant preclinical models and human samples. Multidisciplinary expertise in complementary approaches such as primary immune and/or tumor cell isolation and culture, immune-cell functional and tumor-killing assays, target-engagement and pharmacodynamic biomarker assays, multiparameter flow cytometry, and 2D/3D tumor microenvironment models, including ex vivo and in vivo approaches where appropriate. Strong interest in and experience applying emerging translational technologies—such as single-cell and multi-omic profiling, spatial approaches, advanced functional assays, and other novel platforms—to address mechanistic and biomarker questions is highly desirable.
- Possess a rigorous and creative approach to experimental design and problem-solving. Highly organized, detail-oriented and adaptable in a fast-paced, collaborative environment. Excellent written and verbal communication skills.
Preferred Qualification:
Proficient with analysis of high-throughput data, such as multiomics, single cell and spatial transcriptomics datasets
Relocation benefits are not available for this posting.
The expected salary range for this position based on the primary location of California is $120,700-$224,100 . 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.
Benefits
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.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
Source: Roche on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($120,700) is above 19% of the 492 Science & Research roles in California listed on this site; 2 others list the same floor. Their median floor is $158,777; the middle half runs from $126,066 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingScientist 3 – Translational Medicine, Oncology$120,700 to $224,100
Senior Manager, QC Chemistry and Device Testing (CVRM)$120,100 to $223,100
Principal Project Scheduler$119,900 to $222,700
Associate Program Director, Commercial Regulatory Affairs (CORA)$120,200 to $223,200
Senior Scientist- Translational PKPD$120,700 to $224,100
Technical Development Principal Scientist / Engineer$120,800 to $224,300
Technical Development Principal Scientist, Mass Spectrometry Characterization Lead$120,800 to $224,300
Chart as a table
| Role | Published base |
|---|---|
| Scientist 3 – Translational Medicine, Oncology (this listing) | $120,700 - $224,100 |
| Senior Manager, QC Chemistry and Device Testing (CVRM) | $120,100 - $223,100 |
| Principal Project Scheduler | $119,900 - $222,700 |
| Associate Program Director, Commercial Regulatory Affairs (CORA) | $120,200 - $223,200 |
| Senior Scientist- Translational PKPD | $120,700 - $224,100 |
| Technical Development Principal Scientist / Engineer | $120,800 - $224,300 |
| Technical Development Principal Scientist, Mass Spectrometry Characterization Lead | $120,800 - $224,300 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-22
Where this pay comes from
Location as the employer wrote it: South San Francisco
The expected salary range for this position based on the primary location of California is $120,700-$224,100 . Actual pay will be determined based on experience, qualif
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
