Genentech

Genentech

Senior Scientist - Translational Medicine (Tumor Microenvironment)

South San Francisco, USA · Senior

Sponsorship not specified$121k-$224kDetected 1 day ago
PythonData AnalysisAgentic AIPharmacologyBioinformaticsMolecular BiologyResearchLeadershipCommunicationCollaborationPublic SpeakingBiostatistics

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 77%

Of 13 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 487 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

34 transfer filings in the last year, covering 34 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • As a member of the Translational Medicine team, you will:
  • Contribute to cross-functional project teams, ensuring alignment with overall program goals, timelines, and translational objectives.
  • Contribute mechanistic understanding of tumor microenvironment dynamics and immune engagement to inform development and translational strategies for next-generation oncology therapeutics, including T cell engager approaches.

Responsibilities

  • Develop and execute biomarker strategies for oncology therapeutics from first-in-human through registrational clinical studies.
  • Develop and deploy next-generation biomarker assays across clinical programs to support development decisions and translational research efforts in oncology.
  • Partner cross-functionally with Research, Clinical Development, Clinical Pharmacology, Biostatistics, Regulatory, and Companion Diagnostics to ensure scientific alignment and enable data-driven decision-making.
  • Write and review biomarker- and disease-related sections of clinical protocols, study reports, regulatory documents, abstracts, and manuscripts.
  • Interest in leveraging innovative computational approaches, including emerging AI-enabled and agentic AI tools, to support biomarker discovery, translational insight generation, and data interpretation is a plus.
  • Strong scientific curiosity with the ability to independently develop hypotheses and translate complex biological observations into mechanistic insight.
  • Demonstrated ability to collaborate effectively across diverse scientific disciplines and contribute positively to team culture.

Requirements

  • Excellent written and verbal communication skills, with the ability to communicate complex scientific concepts to multidisciplinary audiences.
  • Ability to thrive in a collaborative, fast-paced, shifting priorities, and highly dynamic research environment.
  • Prior industry drug development experience is not required.

Nice to have

  • Strong expertise or scientific interest in tumor microenvironment biology and prostate cancer is preferred.
  • 0-3 years of experience with translational research approaches including molecular profiling, multi-omic analyses, spatial biology, single-cell technologies, and/or functional immune assays is preferred.
  • Familiarity with computational approaches for biological data analysis
  • knowledge of R and/or Python is preferred.

Compensation

  • The expected salary range for this position based on the primary location of California is $120,680 - $224,120 of hiring range.

Benefits

  • Publish impactful research in leading scientific journals and represent the organization at scientific and medical conferences worldwide.

Company info

  • We are particularly interested in highly motivated scientists with strong postdoctoral training who are excited to help bridge discovery science and clinical development in oncology.

Equal opportunity

  • equal opportunity employer.
  • If you have a disability and need an accommodation in relation to the online

This listing is sourced directly from Genentech's careers page and normalized into a canonical job model.