Associate Scientist, Postdoctoral Fellow - Integrative Multi-Omics Causal Modeling (Genetics, Genomics)

Be a part of the legacy: Postdoctoral Research Fellow Program. The position is for a highly motivated and innovative postdoctoral researcher to join the Data, AI and Genome Sciences (DAGS) department to develop and apply cutting-edge computational and statistical methods for drug target discovery through multi-omics integration.

Requirements

• Develop scalable and robust statistical and computational methods for causal modeling by integrating human genetics, genomics and perturbation datasets.
• Build computational pipelines for genetic association analyses, cell-disease interaction modeling, perturbation-informed pathway and network inference etc.
• Apply causal inference and network approaches to infer gene to pathway to phenotype relationships to uncover causal molecular mechanisms.
• Continuously track cutting-edge computational and statistical methods in statistical genetics and computational biology, and proactively propose and pilot innovative ideas and approaches.
• Collaborate closely with wet-lab scientists and cross-functional computational teams.
• Communicate findings effectively through publications, presentations, and collaborative meetings.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Flexible Work Arrangements