Data Scientist, MS&T Systems and Engineering

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Position Summary

At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to innovate and guarantee supply to our patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote robust products and processes, faster decision making, and more efficient manufacturing and supply. 

We are seeking an experienced and highly motivated data scientist to join the Systems and Engineering team within the Manufacturing Sciences & Technology (MS&T).  In this role, the Data scientists will be responsible for developing, implementing, and maintaining advanced manufacturing process models.  These models will be used in manufacturing to improve process knowledge, enable rapid investigation resolution, monitor processes, improve yields, and ultimately control our processes. 

The ideal candidate will have advanced multivariate model development skills including PLS, PCA, Clustering, Machine learning and experience in Artificial Intelligence.  Knowledge in biopharmaceutical manufacturing and understanding of bioprocess CQAs and process variables is required.  Responsibilities will span across commercial biologics and pharma portfolio manufactured both internally and externally.

If you want an exciting and rewarding career that is meaningful and directly helps deliver lifesaving medicines to patients, consider joining our diverse team!

Key Responsibilities:

• Develop and enable data and modeling visualization tools in manufacturing
• Experience developing and implementing SIMCA and other modeling platforms
• Leverage advanced data analytics, multivariate analysis, first principle concepts, etc to analyze big manufacturing and lab datasets, draw insights, and recommend proactive actions
• Develop and maintain data analytics and modeling platforms via cross-functional collaboration
• Experience with Integration of data systems using SimApi
• Develop and deploy chemometric models for proactive fault detection, forecasting and control advisor
• Leverage the latest advances in deep learning, reinforcement learning and AI to design innovative solutions
• Take initiative, prioritize objectives from multiple projects, and to adhere to scheduled timelines while maintaining flexibility
• Effectively communicate tech domains to cross-functional teams and all levels of the organization Work independently on deliverables in areas of experience

Qualifications & Experience:

• Bachelor's degree with 5+ years of experience, or Master's degree with 2-4 years of experience, or PhD and 0-2 years of experience
• 2+ years of direct work experience in engineering or science (e.g. Process Engineering, Chemical Engineering, or Applied Mathematics/Statistics/Data Science. Multi-discipline is preferred)
• A solid technical knowledge of unit operations associated with biologics and pharma manufacturing processes such as large-scale cell culture, protein purification, blending
• Demonstrated experience in one or more of the following advanced data analytics skills in the biopharma industry: Chemometrics, Process Analyt