Scientist 3, Functional Immunogenomics

Genentech; San Francisco (CA); On-site; USD 103,400 - 192,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

Genentech's Department of Cell and Tissue Genomics (CTG) seeks a Scientist 3 to apply cutting-edge genomics for target discovery and immune therapy engineering. You will create molecular tools and models to study immune-mediated diseases at scale.

The role emphasizes collaboration across immunology, genomics, and AI/ML, with opportunities to lead projects, publish work, and contribute to innovative cell therapy approaches.

Qualifications

• Doctorate degree in a relevant field (molecular biology, genetics, immunology...).
• Deep expertise in immunology with primary immune cell culture and functional assays.
• Molecular engineering experience with CRISPR and functional genomics tools.
• Experience in high-content genomics, single-cell genomics, proteomics, or imaging.
• Ability to manage multiple projects and lead research efforts.
• Strong publication and patent track record.

Responsibilities

• Develop and deploy molecular engineering technologies for target discovery.
• Interrogate immune disease mechanisms with genomics, imaging, and models.
• Lead collaborative research projects across cross-disciplinary teams.

Skills

Immunology

Molecular biology

CRISPR editing

Single-cell genomics

NGS

Lineage tracing

Data analysis

Communication skills

Project leadership

Biochemical techniques

Education

Doctorate degree

Tools

CRISPR

NGS tools

Cell engineering

Imaging readouts

High-content screening

Job description

The Position

The Opportunity

The Department of Cell and Tissue Genomics (CTG) at Genentech is seeking a highly motivated and innovative Scientist 3 to leverage cutting-edge genomics strategies for target discovery and next-generation therapeutic engineering. In this role, you will develop and deploy molecular engineering technologies, biologically relevant models, and state-of-the-art genomics, functional, and imaging read-outs to interrogate complex immunological disease mechanisms at scale. By integrating complex experimental systems with deep biological insights, you will directly drive the identification of novel molecular mechanisms, target candidates, and cell therapy strategies for immune-mediated diseases.

The ideal candidate thrives at the interface of technology development and disease biology—building and applying cutting-edge molecular tools to extract actionable biological insights. The candidate will work collaboratively with scientists of diverse expertise, including immunology, cell therapy, genomics, human genetics, computational biology, and AI/ML. No prior industry experience required, but an open and curious scientific mind is essential, as well as strong communication skills.

Who You Are

• Education: Doctorate degree in a relevant field, including molecular biology, genetics, immunology, systems biology, synthetic biology, developmental biology, biochemistry, and/or biomedical engineering.

• Immunology: Deep expertise in immunology, including primary immune cell culture and functional assays. In vivo experience a plus

• Molecular Engineering: Strong foundational background in molecular biology and functional genomics tools, such as CRISPR (CRISPRko, CRISPRi/a, base editing), deep mutational scanning, lineage tracing, molecular recorders. Experience deploying these at scale and in primary immune cells and/or iPSCs is a plus.

• High-content genomics: Experience in NGS, single-cell genomics, proteomics and/or imaging

• Leadership: Ability to manage multiple projects in parallel, collaborate effectively with multidisciplinary teams, and lead research projects.

• Scientific Productivity: Sustained record of productivity in the form of publications and/or patents.

• Proficiency in a broad range of biochemical, molecular, and cell biology techniques including flow cytometry.

• Excellent problem-solving skills and the ability to independently design, execute, and interpret experiments.

• Strong communication skills and a genuine enthusiasm for collaborative, team-based science.

• Motivation to learn new experimental approaches and computational analyses, and the curiosity to explore unconventional ideas.

Preferred:

• Data Analysis: Experience in the analysis of single cell and genomic data using R and/or Python.

Relocation benefits are available for this posting.

The expected salary range for this position based on the primary location of California is $103,400 - $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.

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.