Data Scientist – Drug Substance Process Development at Amgen
Cambridge, Massachusetts, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

133117.0

Posted On

28 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Statistical Modeling, Stakeholder Engagement, Sql, Machine Learning, R, Amazon Web Services, Data Visualization, Tableau, Unit Operations, Technical Leadership, Python

Industry

Information Technology/IT

Description

JOIN AMGEN’S MISSION OF SERVING PATIENTS

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Scientist – Drug Substance Process Development

BASIC QUALIFICATIONS:

  • 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

PREFERRED QUALIFICATIONS:

  • 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.
Responsibilities

Let’s do this. Let’s change the world. In this vital role on the PANDAS team, you will have two main roles: (1) serving as the process monitoring site lead for one of Amgen’s four internal commercial manufacturing sites, and (2) leading efforts to expand and optimize digital capabilities that support clinical and commercial manufacturing. You will develop, evaluate, and enhance data solutions that drive operational excellence across the global manufacturing network. Collaborating with a diverse, cross-functional team of scientists, engineers, and technologists, you will address complex, ambiguous problems where multiple solutions may exist. This role emphasizes architecting scalable data systems and building impactful analytics tools for process monitoring, technology transfer, and commercial manufacturing support, while also contributing to enterprise-level digital initiatives across Process Development.

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