Bristol Myers Squibb is looking to solve problems in manufacturing and lab data analysis by leveraging advanced data analytics, modeling platforms, and AI to gain insights, recommend actions, and design innovative solutions to transform patient lives.
Requirements
- 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)
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.
Other
- 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.
- 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
