 
        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
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:
PREFERRED QUALIFICATIONS:
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.