Start Date
Immediate
Expiry Date
03 Dec, 25
Salary
199318.0
Posted On
03 Sep, 25
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Product Management, Nlp, Computational Biology, Clinical Data
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.
BASIC QUALIFICATIONS:
Doctorate degree and 2 years of Information/Tech Systems experience
Or
Master’s degree and 4 years of Information/Tech Systems experience
Or
Bachelor’s degree and 6 years of Information/Tech Systems experience
Or
Associate’s degree and 10 years of Information/Tech Systems experience
Or
High school diploma / GED and 12 years of Information/Tech Systems experience
PREFERRED QUALIFICATIONS:
WHAT YOU WILL DO
Let’s do this. Let’s change the world. In this vital role you will lead the strategy, and execution of AI products and platforms across Amgen. You’ll build and deliver intelligent tools that accelerate scientific discovery, streamline R&D workflows, and enable smarter decision-making across a complex biotech environment.
As a Digital Product Sr Manager, you will operate autonomously and cross-functionally—partnering with engineering, data scientists, software engineers and domain experts. You will translate the potential of LLMs, agent-based AI, and ML platforms into high-impact solutions for scientific users. This is a high-ownership role at the intersection of AI innovation and biotech transformation.
WHAT YOU’LL DO