Senior Data Scientist - Madison WI

Military Spouse Corporate Career Network•Madison, WI

9d•Onsite

About The Position

In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes, including but not limited to, cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development. The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging cross‐functional projects. Fundamental understanding of bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction kinetics) is preferred. The candidate will be part of cross-functional project teams with frequent interactions with Amgen’s SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for use by engineers and scientists.

Requirements

High school diploma / GED and 10 years of Data Sciences experience OR Associate’s degree and 8 years of Data Sciences experience OR Bachelor’s degree and 4 years of Data Sciences experience OR Master’s degree and 2 years of Data Sciences experience OR Doctorate degree

Nice To Haves

Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field
Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics, reaction kinetics)
Experience in applying AI and ML algorithms to produce data-driven solutions to engineering problems
Track record of leading modeling and data science projects
3+ yrs of coding experience in Python
Understanding of biopharmaceuticals process and related unit operations
Experience using Git for version control
Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)
Experience with data engineering & visualization tools (e.g., Databricks, Spotfire) as well as cloud computing and data storage systems such as AWS
Experience leveraging AI tools to generate agentic solutions for scientific workflows
Independent, self‐motivated, organized, and able to multi‐task in time‐sensitive environments
Excellent communication skills (written and verbal)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Responsibilities

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact-level insights.
Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.
Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.