The Precision Genetics group within Data, AI and Genome Sciences (DAGS) is seeking a Senior Director to lead computational biology efforts for Cardiometabolic Drug Discovery Data Science. The goal is to leverage human genetics and multimodal data using AI/ML to identify therapeutic targets, biomarkers, and patient stratification strategies for cardiometabolic diseases, informing discovery, translational medicine, companion diagnostics, and clinical research.
Requirements
- Hands-on experience in integrating data from genetics, proteomics, single-cell transcriptomics and high-dimensional molecular data to derive insights into causal disease mechanism
- Ability to code in R/Python and establish best practices for reproducible data analyses
- Proven track record working in a cardiometabolic computational team
- Prior experience mentoring or developing junior data scientists
- Familiarity with animal models of cardiometabolic diseases
- Familiarity with CRISPR approaches for target validation
- Experience is establishing academic and consortia partnerships
Responsibilities
- Manage, mentor and hire outstanding team members responsible for creating an end-to-end computational biology strategy and support discovery programs in Cardiometabolic diseases
- Create the strategy and process for evaluating therapeutic targets and precision biomarkers from the perspective of genetics, causal disease biology drawing upon a combination of public and proprietary resources
- Collaborate with scientists and clinicians to create the data science strategy for Cardiometabolic disease targets in discovery, being innovative and foreseeing the path to clinical trial
- Leverage scRNASeq to contextualize target gene expression in the context of cell- types, disease biology and cardiac phenotypes
- Evaluate opportunities across potential indications using diverse data sources
- Stay up to date on the application of AI/ML to cardiometabolic drug discovery strategy to prioritize target portfolio based on biological insightsPublic
- Proactively identify biomarker discovery strategies to support discovery program and generate patient stratification strategies using cutting edge AI/ML methods
Other
- Ph.D. in computational biology or related field and a minimum of 10 years of combined research experience in academia/pharma
- Strong ability to work and influence in complex matrixed organizations
- Excellent oral and written communication skills
- Ability to establish and maintain productive cross-site and high caliber external collaborations
- 10% Travel Requirements
