Amgen

Data Scientist – Drug Substance Process Development

Amgen

full-time

Posted on:

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

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Salary

💰 $106,488 - $133,117 per year

Job Level

SeniorLead

Tech Stack

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.

Requirements

  • 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.