Associate Director, Data Science

This is a new position on a cutting-edge Drug Development Data Science and Biomarker team. The Associate Director, Data Science will develop and apply novel or existing computational methods for patient segmentation from multimodal clinical and omics datasets for various treatment modalities in partnership with Translational, Clinical and Statistical Scientists. The role requires strong leadership skills, computational, statistical, and biological capabilities, and a demonstrated track record of translating complex data into testable hypotheses and experience modeling multimodal (clinical, omics, real-world) data using the classical ML and Deep Learning algorithms.

Requirements

• Ph.D. in a relevant quantitative field (i.e. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) and 6+ years of academic/industry experience
• Strong experience in the analysis of data generated by one or more -omics or molecular assays
• Knowledge of molecular biology, understanding of disease pathways
• Strong experience in biomarker data analysis with data generated from clinical trials, or electronic health records
• Experience in modeling methods particularly in their application to pharma R&D
• Experience in the application of AI/ML, and proficient in SQL, Python, and R and cloud platforms
• Experience developing statistical and machine learning models on high dimensional and high throughput data for time to event data and longitudinal outcomes
• Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data
• Demonstrated ability to lead a team
• Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance