Associate Director, Data Science

Join a new cutting-edge Drug Development Data Science and Biomarker team to advance the global drug development process. Develop and apply novel or existing computational methods for patient segmentation from multimodal clinical and omics datasets for various treatment modalities. Lead a team of data scientists and collaborate with biomarker scientists in planning and executing experiments to optimize and validate biomarker assays for clinical trial usage.

Requirements

• Ph.D. in a relevant quantitative field (i.e. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) and 6+ years of academic/industry experience
• Master’s Degree in a relevant quantitative field and 8+ years of 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
• Demonstrated ability to lead a team
• Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects
• Strong problem-solving and collaboration skills, and rigorous and creative thinking
• Excellent communication, data presentation, and visualization skills
• Capable of establishing strong working relationships across the organization

Benefits

• Competitive salary
• Additional incentive cash and stock opportunities (based on eligibility)
• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance