Manager, Development to Launch AnalyticsBristol-Myers Squibb • United States
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Manager, Development to Launch Analytics
Bristol-Myers Squibb
- United States
- United States
À propos
At Bristol Myers Squibb, we are inspired by a single vision – transforming patients' lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. Position Summary: The Product Development and Supply (PDS) Analytics team is part of Business Insights & Technology (BI&T) function at BMS. PDS analytics team members partner with the PDS organization to answer key business questions that drive business strategy using advanced data science, analytics and AI. The Manager, Development to Launch Analytics, will be part of a collaborative data science and business insights team dedicated to answering key business questions for the enterprise, and will report to the Senior Director; Development to Launch Analytics. The Manager will develop advanced analytics and AI tools to answer business strategy questions for the member functions that enable end-to-end drug development and product launch activities, including Product Development, Cell Therapy Development, Clinical Supply Chain and Manufacturing Science & Technology. Roles & Responsibilities: The Manager, Development to Launch Analytics will partner with stakeholders from the member functions and the Business Insights and Technology team to develop and deploy new analytic capabilities to answer key business questions for PDS. Key responsibilities include: Supporting Business Decisions - Work closely with PDS senior leaders to identify and address priority business questions related to CMC development, new product introduction and business operations. Develop and Deploy Analytics and AI Capabilities – Answer key business questions using innovative analytic and data science techniques. Support the development of core analytical and data science tools including AI and machine learning models, ETL (extract, transform, and load) data processes, and statistical methodologies. Driving Team Productivity and Operational Excellence – Consistently apply coding and data analysis best-practices and standards within the PDS BI&T aligned tech stack. Qualifications & Experience: Bachelor's degree in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 4+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models OR Ph.D. in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 1+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models. Demonstrated proficiency in data science and data engineering, including SQL, Python, dbt in production/operational environments. Experience in basic data architecture and database concepts. Experience in working with probabilistic methods, including Monte Carlo Simulations, probability theory, Bayesian methods is a plus. Experience in the life sciences and/or pharmaceutical industry preferred. Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements. Experience with translating analytical results for business leaders. Strong project management skills. Strong written and verbal communication skills. Ability to learn new tools and skills quickly and gain and apply PDS specific knowledge. Proven ability to independently balance and prioritize across multiple projects in parallel. Ability to work with diverse teams across organizational lines and structures.
Compétences linguistiques
- English
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