Manager, Manufacturing Analytics Engineer

Role Summary

A cross-disciplinary Manager, Manufacturing Analytics Engineer with a strong background in process engineering and data science. The role partners with colleagues across CTTO to build process understanding of Bristol Myers Squibb Cell Therapy vector and drug products for clinical and commercial assets, and to drive and support process monitoring activities through data products, models, and algorithms. The position collaborates with process engineers, scientists, business process owners, and BMS-IT to continuously improve the digital toolkit and framework for process monitoring.

Responsibilities

• In collaboration with BMS-IT contribute to the construction of data pipelines, data products, and visualization solutions for process monitoring as well as other prioritized analytics or modeling use cases
• Contribute to the creation, review, approval, or maintenance of validation deliverables as applicable to include but not limited to requirements specifications, configuration/design specifications, test scripts, execution of test scripts, procedures, and training materials
• Develop dashboards, analytics, and automated reporting capabilities for process and product robustness as well as other prioritized analytics or modeling use cases
• Develop automated models to identify process anomalies and statistically abnormal events
• Partner with key stakeholders to define and prioritize solutions for process monitoring, CPV, as well as other analytics or modeling use cases
• In collaboration with key stakeholders prepare process monitoring reports, quarterly CPV reviews, and identify process improvement opportunities
• Contribute to continuous improvement or capability building programs as a Subject Matter Expert

Qualifications

• Required: Minimum BS or equivalent in a STEM discipline such as Chemical Engineering, Materials Sciences and Engineering, Chemistry, Biochemistry, or Biology with 5 years relevant experience
• Preferred: Relevant Coursework or MS or equivalent in Data Science, Computer Science, or Information systems with 3 years relevant experience a plus
• Preferred: Industry Experience in Biotech or Pharma in a process engineering or MSAT role highly preferred
• Preferred: Hands-on experience with the modern data science stack, including Python, R, and SQL
• Preferred: Familiarity with Analytics applications such as PowerBI, Spotfire, and Tableau
• Preferred: Familiarity with machine learning algorithms such as XGBoost, CatBoost, or LightGBM is preferable
• Preferred: Familiarity with Statistical Process Control is preferred
• Preferred: Familiarity with the Continuous Process Verification (CPV) process is preferred
• Preferred: Entrepreneurial spirit and can-do attitude

Skills

• Hands-on experience with the modern data science stack (e.g., Python, R, SQL)
• Familiarity with Analytics applications (PowerBI, Spotfire, Tableau)
• Familiarity with machine learning algorithms (XGBoost, CatBoost, LightGBM)
• Knowledge of Statistical Process Control
• Understanding of Continuous Process Verification (CPV) processes
• Entrepreneurial mindset and proactive problem-solving

Education

• BS in a STEM discipline (e.g., Chemical Engineering, Materials Science and Engineering, Chemistry, Biochemistry, or Biology) with 5 years of relevant experience
• MS or equivalent in Data Science, Computer Science, or Information Systems (3 years relevant experience a plus)