Amgen Science Fellow - Computational Biology, AI, and Advanced Computing

Amgen • South San Francisco, CA

18d

About The Position

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. Amgen Science Fellow - Computational Biology, AI, and Advanced Computing What you will do Let’s do this. Let’s change the world. The Amgen Science Fellows program is seeking an exceptional early-career scientist to establish an independent research program at the intersection of drug discovery, computational biology, artificial intelligence, and emerging computational paradigms, including quantum computing. This fellowship will support the development and application of advanced computational methods to address foundational challenges in biology, chemistry, and/or therapeutic discovery. Areas of interest include, but are not limited to, machine learning and AI for biological inference and molecular design, large-scale computational and systems biology, hybrid AI–physics–based modeling, and exploratory quantum and quantum-inspired approaches for simulation, optimization, and learning. The Fellow will have the opportunity to define a forward-looking research agenda that advances computational science as a core driver of next-generation biopharmaceutical R&D. The Amgen Science Fellows program is a key component of Amgen Research’s mission to advance scientific knowledge and train future scientific leaders. The program offers exceptionally talented scientists the opportunity to establish their own research programs as an alternative to traditional postdoctoral positions. The program is designed to encourage creative and independent research in both basic and translational science. Recent Ph.D. graduates with superb research records receive resources to work independently with the guidance of a highly distinguished mentoring committee. The Amgen Science Fellows program builds upon the success of the Amgen R&D postdoc program to recruit the highest caliber talent to Amgen. The Amgen Science Fellows program will offer an attractive and differentiated opportunity for extraordinary early career scientists to pursue their cutting-edge ideas at Amgen. Science Fellows take advantage of Amgen’s state-of-the-art research facilities, as well as the supportive environment of the global Amgen Research community. Science Fellows will dedicate their time at Amgen to developing a robust research project aimed at breakthrough discoveries and publication. They have the distinctive opportunity to initiate and manage an independent project with technical support under their direction, a rare experience typically encountered later in one's career. Science Fellows are given the space, guidance, and resources needed to run their research program. Unlike traditional industry positions, the Science Fellows are not expected to work on pipeline programs. The Science Fellow will have an appointment up to 4-years.

Requirements

• Ph.D. in a computational or life sciences discipline with research experience in Computational Biology, AI, and Advanced Computing

Nice To Haves

• Scientific Depth and Originality Demonstrated record of first-author or corresponding-author publications in high-impact journals at the intersection of computation and life sciences
• Evidence of independent scientific vision, such as leading a distinct research direction separate from PhD or advisor-driven programs
• Experience framing and pursuing long-horizon, high-risk scientific questions rather than incremental method development
• Computational and Technical Expertise Advanced proficiency in modern machine learning architectures (e.g., graph neural networks, foundation models, generative models) applied to biological or chemical data
• Strong programming skills with evidence of production-quality code or open-source contributions
• Experience working with large-scale, multimodal biological datasets (omics, imaging, molecular, clinical, or simulation-derived)
• Familiarity with high-performance computing environments, cloud-based workflows, or scalable model training
• Modeling and Scientific Integration Proven ability to integrate data-driven AI approaches with mechanistic, physics-based, or systems-level models
• Background in at least one core domain relevant to therapeutic discovery (e.g., structural biology, chemistry, systems biology, pharmacology), beyond purely computational training
• Emerging and Exploratory Methods Prior exposure to quantum computing, quantum-inspired algorithms, or advanced optimization methods, with demonstrated curiosity about near-term scientific impact
• Willingness to prototype and critically evaluate immature or speculative technologies in a rigorous scientific context
• Leadership and Communication Track record of scientific leadership, including mentoring students, coordinating collaborations, or driving cross-disciplinary projects
• Strong written and verbal communication skills, with experience presenting complex computational ideas to experimental or translational audiences

Benefits

• 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
• discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree