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Sr. Clinical Quantitative Scientist
Sr. Clinical Quantitative Scientist for Whippany, NJ to define, develop & implement statistical, data science, and machine learning-based analytical approaches to evaluate Oncology drug efficacy based on clinical trial data; use statistical modeling & machine learning methods to derive scientific insights from clinical data to assist drug development; lead development, testing & prototyping of quantitative models and tools; lead programming activities to develop & validate data analysis packages for clinical studies; keep apprised of new quantitative methodologies & tools and provide recommendations for potential use; communicate scientific findings to internal stakeholders. Requires Master’s in Applied Statistics, Data Science, or closely-related field & 3 yrs experience in a pharmaceutical and/or biotechnology clinical research environment: using applied statistics to analyze and interpret aggregate clinical trial data; using advanced quantitative methods to evaluate safety & benefit-risk profile of Oncology drugs in collaboration with clinical and regulatory teams; creating interactive data displays using statistical and/or visualization software and/or tools, including SAS, R, Shiny, and/or Python; working with clinical drug development process; adhering to GXP regulations & CDISC standards; leading projects and/or research teams; applying machine learning & natural language processing methods, including supervised, unsupervised and generative models, to extract patterns and insights from data; applying artificial intelligence methods to explain the outcomes of machine learning models; writing code in HTML & JavaScript to develop and maintain interactive web-based data visualizations, dashboards and user interface components; developing deep generative models, including GANs & VAEs, to generate data to address simulation and imbalance use cases; applying large language models to solve statistical analysis & language generation problems; and communicating quantitative findings to scientific & non-scientific stakeholders at all levels of the business. Telecommuting permitted from home office location within reasonable commuting distance of Whippany, NJ up to 2 days per week. Salary Range: Employees can expect to be paid a salary between $155,000.00 to $167,000.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. Mail resume to Alex Greenberg, Bayer HealthCare Pharmaceuticals Inc., 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to careers_us@bayer.com. Include reference code below with resume.
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
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