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.
- 8 years of Data Science or Engineering experience; OR Associates degree and 6 years of Data Science or Engineering experience; Or Bachelors degree and 2 years of Data Science or Engineering experience; Or Masters degree
- 3+ years of work experience in biotechnology role (e.g. process development/process engineering, a statistician, statistical programmer, data analyst, data scientist)
Responsibilities
- Act as the primary point of contact for process monitoring at an assigned commercial manufacturing site.
- Ensure active engagement of site PD teams in the Process Performance and Product Quality Monitoring (PPPQM) framework, integrating analytics to support proactive, data-driven quality oversight.
- Prepare data and author Process Data Analysis sections for Annual Product Reviews for products within the site scope.
- Maintain and revise digital infrastructure as needed to comply with automated process monitoring procedures.
- Calculate control limits, author supporting documentation, re-evaluate limits when required, and ensure monitoring strategies are executed per procedure at the assigned site.
- 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 Amgens data architecture, standards, and ontologies.
Other
- Ability to effectively plan and follow through on complex projects.
- Enthusiasm to build and maintain effective collaborations with partner organizations across Amgens Process Development and Operations Networks.
- Strong communication, stakeholder engagement, and technical storytelling skills.
- Passion for continuous learning.
- Enthusiasm for training customers and teammates.
