Data Scientist – Drug Substance Process Development

Amgen

full-time

Posted on: 8/28/2025

Location: California, Massachusetts, North Carolina, Rhode Island • 🇺🇸 United States

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💰 $106,488 - $133,117 per year

SeniorLead

AWSCloudPandasPythonSQLTableau

About the role

Serve as process monitoring site lead for one of Amgen’s commercial manufacturing sites and expand digital capabilities supporting clinical and commercial manufacturing.
Develop, evaluate, and enhance data solutions for operational excellence across global manufacturing network.
Act as primary point of contact for process monitoring at assigned commercial manufacturing site; ensure engagement in PPPQM framework and integrate analytics for quality oversight.
Prepare data and author Process Data Analysis sections for Annual Product Reviews; maintain and revise digital infrastructure to comply with automated monitoring procedures.
Design, develop, and maintain digital assets and applications (e.g., Spotfire dashboards, SIMCA models, Databricks pipelines, PLM tools) integrating data across systems.
Partner with IT and enterprise teams to advocate for data model and pipeline improvements and understand Amgen’s data architecture, standards, and ontologies.
Deliver end-to-end analytics solutions from data ingestion to modeling and visualization for tech transfer, process monitoring, and commercial manufacturing.
Support exploration of emerging technologies, including generative AI, to enhance digital capabilities within Drug Substance Technologies.
Collaborate cross-functionally with scientists, engineers, IT, and external stakeholders to identify opportunities for process design and operational improvement.

High school diploma / GED and 8 years of Data Science or Engineering experience; OR Associate’s degree and 6 years of Data Science or Engineering experience; Or Bachelor’s degree and 2 years of Data Science or Engineering experience; Or Master’s degree
3+ years of work experience in biotechnology role (e.g. process development/process engineering, a statistician, statistical programmer, data analyst, data scientist)
Demonstrated expertise in process development or commercial manufacturing, with strong proficiency in unit operations and an understanding of common data requirements within the manufacturing domain.
Proficiency in Python, R, SQL, and cloud-based analytics platforms (e.g., AWS, Snowflake, Databricks).
Advanced experience with data visualization (e.g., Spotfire, Tableau) and statistical modeling (e.g., multivariate analysis, Bayesian modeling, machine learning).
Experience with Amazon Web Services, and/or Databricks, and/or Snowflake.
Demonstrated skills in selecting the right tools given a data analysis question.
Ability to effectively plan and follow through on complex projects.
Enthusiasm to build and maintain effective collaborations with partner organizations across Amgen’s Process Development and Operations Networks.
Strong communication, stakeholder engagement, and technical storytelling skills.
Passion for continuous learning.
Ability to learn new techniques and provide technical leadership for key initiatives.
Enthusiasm for training customers and teammates.