Associate Scientific Director, Manufacturing Analytics

Bristol Myers Squibb • Devens, MA

5d • $159,490 - $206,793

About The Position

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 . PURPOSE AND SCOPE OF POSITION The Associate Scientific Director, Manufacturing Analytics is a member of the Manufacturing Analytics team within the Manufacturing Engineering, Digital, and Analytics (MEDA) department within Cell Therapy Technical Operations (CTTO). Your main goal will be to drive decision-making excellence, cost discipline and operational improvements in manufacturing through data analytics, models, and algorithms. You will model and analyze various facets of manufacturing operations and support strategic decision-making across the CTTO network. In partnership with stakeholders across the network, you will define, productionize, and roll out data solutions for manufacturing across the organization, acting as product owner/manager, capturing user requirements, shaping the vision for solutions, and integrating them into business processes.

Requirements

• Bachelor’s degree in Chemical Engineering, Material Sciences and Engineering, Biology, Chemistry, or related STEM field
• At least 10 years of experience in Biotech or Pharma, in one of the following areas: process engineering, manufacturing, operations, MSAT, or data analytics
• Experience building discrete event models for manufacturing operations
• Data-savviness (Ability to find, pull, manipulate, interpret, and analyze data)
• Hands-on experience with ChatGPT, Claude Code, and similar LLMs
• Hands-on experience with data analysis using Python, SQL, or R
• Hands-on experience with MS PowerBI, Tableau, or Tibco Spotfire

Nice To Haves

• Master’s degree in Data Science or Statistics a plus
• Knowledge of any of the following is a plus: SIMIO, FlexSim, SIMCA, or multi-physics modeling
• Knowledge of gradient boosting algorithms such as CatBoost or XGBoost a plus
• Knowledge of Statistics is a plus
• Knowledge of Lean / Six Sigma is a plus

Responsibilities

• Serve as the lead data scientist for CTTO MEDA Manufacturing Analytics
• Serve as the lead data scientist in support of ad-hoc commercial drug product or vector manufacturing investigations
• Cultivate CTTO MEDA Manufacturing Analytics’ data science technology stack and implement automation to accelerate data science activities and predictive modeling for current & new drug product and vector assets
• Define data science best practices including standard run-the-business work processes for Manufacturing Analytics
• Design, Automate, Implement, Support routine Multi-Variate Analysis Capability
• Lead CTTO planning and decision-making by providing modeling and data analysis expertise where needed. Use cases include but are not limited to:
• Create digital twins and run experiments of drug product or vector manufacturing processes to improve on KPI targets
• Contribute to improvement of manufacturing success rate and influence process control strategy of commercial drug product and vector through predictive modeling
• Leverage AI to improve on CT’s key KPIs that include but are not limited to manufacturing success rate, turn-around-time, cost-of-goods manufactured, labor and equipment utilization
• Leverage predictive models to identify new features that impact manufacturing success and/or quality
• Leverage natural language processing or predictive models to categorize and trend Quality Management System (QMS) data
• Conduct scenario modeling for operations and CTTO
• Forecast future labor and capacity needs
• Drive innovation with large-language models to improve manufacturing & business performance as well as user experience
• Contribute to troubleshooting issues with data pipelines
• Collaborate with CT teams and cross-functional stakeholders to identify improvement opportunities for productivity and CTTO
• Understand manufacturing site operations and capabilities to contribute to process improvement projects and cross-site harmonization initiatives
• Partner with CTTO subject matter experts to define, prioritize, and document business requirements, study, and understand the underlying data
• Work with sites to define and enforce best practices around data management
• Coach/Mentor/Upskill CTTO team members in aspects of data science, AI, and predictive models

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
• Number of Employees: 5,001-10,000 employees