Hybrid Data Scientist, MS&T Systems and Engineering

at Bristol Myers Squibb

• Job title: Data Scientist, MS&T Systems and Engineering
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $114,290 - $138,494 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Devens, United States

About the role

• Data Scientist developing advanced manufacturing process models for Bristol Myers Squibb. Involves leveraging AI and analytics tools to enhance biopharmaceutical production processes.

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

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

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)
• 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.