Postdoctoral Fellow - Human Genetics, Bhangale Lab

Genentech; South San Francisco (CA); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Relocation benefits

Professional development workshops

Networking opportunities

Job summary

Genentech is seeking a highly motivated Postdoctoral Fellow (Computational) to develop novel methods for rare coding variant association in neurodegenerative diseases. You will analyze large-scale genomic data, working closely with interdisciplinary teams to validate computational findings.

This role requires a PhD in relevant fields, strong publication record, and proficiency in R or Python. The expected salary range is $110,000 to $120,000, along with relocation benefits.

Qualifications

• Strong scientific publication record.
• Experience in rare‑variant association testing.
• Ability to present complex results clearly to diverse audiences.

Responsibilities

• Lead computational analysis of whole-exome and whole-genome sequencing data.
• Develop methods that integrate protein structural information for variant effect models.
• Work with interdisciplinary teams on genomic data.

Skills

Computational Biology

Bioinformatics

Statistical Genetics

R or Python programming

Education

PhD in Computational Biology or related field

Tools

Large-scale genomic data analysis

Job description

The Position

We advance science so that we all have more time with the people we love.

The Department of Human Genetics at Genentech is seeking a highly motivated Postdoctoral Fellow (Computational) to develop and apply novel statistical and computational methods for rare coding variant association in neurodegenerative disease. Our department combines large-scale human genetic evidence with rich molecular, cellular, and clinical data to uncover causal disease biology. The successful candidate will work with our team to analyze human genomic data generated from large case-control cohorts in Parkinson’s disease and ALS, with the goal of identifying how rare coding variants disrupt protein function and contribute to disease. The candidate will also work with experimental neuroscience teams within gRED to pursue biological validation of computational findings.

The Opportunity

You will join our team and lead computational analysis of large-scale whole-exome and whole-genome sequencing data to identify rare coding variants associated with Parkinson’s disease and ALS. You will develop and apply methods that integrate protein structural information to map disease-associated variant hotspots within known disease genes and build calibrated variant effect models that combine multiple lines of molecular evidence. Experience in rare‑variant association testing, protein structure analysis, and/or machine learning‑based variant interpretation will be given preference. You will work with interdisciplinary teams including human genetics, computational biology, and experimental neuroscience, and will carry out data analysis across multiple large cohorts. Regular publication of scientific or methodological papers is an important component of this position. Success in this role depends on strong quantitative skills and an ability to communicate complex results clearly to a diverse audience of scientists.

Who You Are

• PhD in Computational Biology, Bioinformatics, Statistical Genetics, or a related quantitative field with strong research experience.
• Strong scientific publication record.
• Enjoy developing creative computational approaches to understand how genetic variation shapes disease biology, and working closely with experimental scientists to follow up on computational findings.
• Experience working with large-scale genomic data (e.g. whole‑exome or whole‑genome sequencing, biobank‑scale datasets).
• Demonstrated competence in R or Python for statistical or bioinformatics analyses.
• Intensely curious about the biology of neurodegenerative disease and eager to contribute to scientific efforts focused on understanding the genetic and molecular mechanisms underlying disease risk.
• Able to present complex results, both verbally and in writing, to computational and non‑computational audiences.
• Work successfully as the computational lead in cross‑functional teams.

Postdoc Program

Elevate your research career to new heights with Genentech’s Postdoctoral Program! Join a prestigious community of early career scientists and kick‑start your journey toward becoming a scientific leader in biotechnology and bioengineering. With competitive salaries and fully funded research expenses, you can dedicate yourself to groundbreaking research that aligns with Genentech strategic ambitions.

The postdoc program is designed to empower recent Ph.D. graduates to conduct world‑class research, publish in top‑tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary to develop into an independent scientist and leader.

The Genentech Postdoc Program provides access to world‑class seminars, professional development workshops, and networking opportunities. Apply now to the Genentech Postdoctoral Program and unlock your full potential!

The expected salary range for this position based on the primary location of California is $110,000 to $120,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job‑related factors permitted by law. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Relocation benefits are available for this job posting.

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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