Postdoctoral Fellow – Human Genetics, Bhangale Lab Full-time

Postdoctoral Fellow (Computational)

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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.

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.

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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