Join a new cutting-edge Drug Development Data Science and Biomarker team to advance the global drug development process. As a Senior Manager, Data Science, you will develop and apply novel or existing computational methods for patient segmentation from multimodal clinical and omics datasets. You will partner with lead and protocol statisticians in writing, reviewing and executing protocols and statistical analysis plans (SAP) for biomarkers and diagnostics, highlighting the biomarker strategy for clinical drug development.
Requirements
- Ph.D. in a relevant quantitative field (i.e. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) and 1+ years of academic/industry experience
- Master’s Degree in a relevant quantitative field and 3+ 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 are preferred
- 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
- 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 benefits
- Services and programs
- Pursue their goals, both at work and in their personal lives