Postdoctoral Fellow - Human Genetics, Bhangale Lab

Roche • South San Francisco, CA

9d • $110,000 - $120,000 • Onsite

About The Position

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.

Requirements

• PhD in Computational Biology, Bioinformatics, Statistical Genetics, or a related quantitative field with strong research experience.
• Strong scientific publication record.
• 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.

Nice To Haves

• Experience in rare-variant association testing, protein structure analysis, and/or machine learning-based variant interpretation.
• 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.

Responsibilities

• 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.
• Develop and apply methods that integrate protein structural information to map disease-associated variant hotspots within known disease genes.
• Build calibrated variant effect models that combine multiple lines of molecular evidence.
• Work with interdisciplinary teams including human genetics, computational biology, and experimental neuroscience.
• Carry out data analysis across multiple large cohorts.
• Regular publication of scientific or methodological papers.

Benefits

• Competitive salaries
• Fully funded research expenses
• Relocation benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree