Amgen is looking to expand and optimize digital capabilities that support clinical and commercial manufacturing by developing, evaluating, and enhancing data solutions to drive operational excellence across the global manufacturing network.
Requirements
- 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 learn new techniques and provide technical leadership for key initiatives.
Responsibilities
- Serve as the process monitoring site lead for one of Amgen’s four internal commercial manufacturing sites.
- Lead efforts to expand and optimize digital capabilities that support clinical and commercial manufacturing.
- Develop, evaluate, and enhance data solutions that drive operational excellence across the global manufacturing network.
- Design, develop, and maintain digital assets and applications (e.g., Spotfire dashboards, SIMCA models, Databricks pipelines, Product Lifecycle Management tools) that integrate data across systems to deliver meaningful insights.
- Partner with IT and enterprise teams to advocate for data model and pipeline improvements by developing a strong understanding of Amgen’s data architecture, standards, and ontologies.
- Deliver end-to-end analytics solutions—from data ingestion and wrangling to modeling and visualization—to support tech transfer, process monitoring, and commercial manufacturing.
- Support the exploration of emerging technologies, including generative AI, to enhance digital capabilities within Drug Substance Technologies.
Other
- 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.
- 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.
- Enthusiasm for training customers and teammates.
