Associate Scientific Director, Manufacturing Analytics
Bristol Myers Squibb, New Brunswick, NJ, United States
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. 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. Duties & 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 Required Competencies & Qualifications
Bachelor's degree in Chemical Engineering, Materials Sciences and Engineering, Biology, Chemistry, or related STEM field Master's degree in Data Science or Statistics a plus 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 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 Compensation Overview
Devens - MA - US: $170,650 - $206,793 Madison - Giralda - NJ - US: $159,490 - $193,259 New Brunswick - NJ - US: $159,490 - $193,259 The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, visit https://careers.bms.com/life-at-bms/. Benefits
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. 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: 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 Additional time off 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. On‑site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote‑by‑design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role. Site‑essential roles require 100% of shifts onsite at your assigned facility. Site‑by‑design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field‑based and remote‑by‑design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection . Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
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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. 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. Duties & 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 Required Competencies & Qualifications
Bachelor's degree in Chemical Engineering, Materials Sciences and Engineering, Biology, Chemistry, or related STEM field Master's degree in Data Science or Statistics a plus 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 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 Compensation Overview
Devens - MA - US: $170,650 - $206,793 Madison - Giralda - NJ - US: $159,490 - $193,259 New Brunswick - NJ - US: $159,490 - $193,259 The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, visit https://careers.bms.com/life-at-bms/. Benefits
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. 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: 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 Additional time off 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. On‑site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote‑by‑design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role. Site‑essential roles require 100% of shifts onsite at your assigned facility. Site‑by‑design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field‑based and remote‑by‑design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection . Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
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