Data Scientist, Manufacturing, Sciences and Technology, Systems and Engineering
Bristol Myers SquibbAbout the role
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: Data Scientist, MS&T Systems and Engineering
Location: Devens – MA – US
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
• Expected Bachelor with 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 Analytics Technology (PAT), Clustering, Classification, Regression, Principal Component Analysis (PCA), Partial Least Squares (PLS), Machine Learning, Neural Network, etc.
• Exceptional knowledge and experience in managing model lifecycle; exceptional experience with monitoring model performance; design and implementation of systems to re-train and deploy models into production
• Hands-on experience with modeling tools such as SIMCA & SIMCA-online or Matlab or Python is required
• Extensive experience in data systems such as OSI PI (PI Historian, PI Vision), Discoverant, LIMS, Datalake
• Working knowledge of Automation tools such as DeltaV, Syncade MES
• Experience with manufacturing process time series data, images, and spectra data.
• Understanding of Process Flow Diagram (PFD) or Process and Instrumentation Diagram (P&ID)
• Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams. Demonstrated performance against cooperation principles and enterprise mindset.
• Exceptional experience managing multiple priorities and working in fast-paced, constantly evolving environment with a variety of cross-functional teams
• Demonstrated problem solving ability, attention to details, and analytical thinking.
• Exceptional communication skills: Oral/Written
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