Amgen Inc. is hiring a Data Scientist – Drug Substance Process Development to serve as the process monitoring site lead for one of our internal commercial manufacturing sites. In this role, you will lead efforts to expand and optimize digital capabilities supporting clinical and commercial manufacturing, developing and enhancing data solutions to drive operational excellence across our global network.
What You'll Do
- 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.
- 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.
- Design, develop, and maintain digital assets and applications (e.g., Spotfire dashboards, SIMCA models, Databricks pipelines, Product Lifecycle Management tools).
- Partner with IT and enterprise teams to advocate for data model and pipeline improvements.
- Deliver end-to-end analytics solutions 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.
- Collaborate cross-functionally with scientists, engineers, IT, and external stakeholders to identify opportunities for process design and operational improvement.
What We're Looking For
- High school diploma / GED and 8 years of Data Science or Engineering experience
- Associate’s degree and 6 years of Data Science or Engineering experience
- Bachelor’s degree and 2 years of Data Science or Engineering experience
- Master’s degree
Nice to Have
- 3+ years of work experience in a 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.
Technical Stack
- Languages & Querying: Python, R, SQL
- Cloud & Analytics Platforms: AWS, Snowflake, Databricks
- Visualization: Spotfire, Tableau
Team & Environment
You’ll be part of the PANDAS team, a cross-functional group of scientists, engineers, and technologists. You’ll collaborate closely with scientists, engineers, IT, and external stakeholders.
Benefits & Compensation
- Compensation Range: $106,488.00 USD - $133,117.00 USD
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
- A discretionary annual bonus program.
- Stock-based long-term incentives.
- Award-winning time-off plans.
- Flexible work models, including remote and hybrid work arrangements, where possible.
Work Mode
This role is hybrid, open to locations in the U.S. (excluding Puerto Rico).
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
