Data Scientist, MS&T Systems and Engineering

Bristol Myers Squibb • Devens, MA

17h • Onsite

About The Position

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!

Requirements

• 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 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

Nice To Haves

• Knowledge in biopharmaceutical manufacturing and understanding of bioprocess CQAs and process variables is required.

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

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
• Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
• Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
• All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level