Principal Scientist – Inflammation Human Data & Computational Biology

Principal Scientist – Inflammation Human Data & Computational Biology

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.

Principal Scientist – Inflammation Human Data & Computational Biology

What you will do

Let’s do this. Let’s change the world. In this vital role you will combine experimental and computational strategies to accelerate discovery and development of innovative therapies. You will bring deep expertise across wet-lab biology and AI/ML-driven computational and agentic research approaches, enabling human-data-driven understanding of disease mechanisms and therapeutic opportunities.

Key Responsibilities

• Continuously apply computational, agentic and other AI-driven approaches to generate mechanistic insights, refine therapeutic hypotheses, and guide experimental design.

• Design, execute, analyze, and interpret studies to investigate disease mechanisms and test therapeutic hypotheses.

• Generate high-quality experimental data to support target identification, validation, and progression of Inflammation research programs.

• Integrate experimental findings with published literature, human genetics, clinical observations, and other data sources to develop mechanistic insights and inform scientific decision-making.

• Participate in scientific discussions, target reviews, and portfolio evaluations by contributing data-driven insights and recommendations.

• Present scientific findings and recommendations to project teams, governance forums, and departmental meetings.

• Maintain accurate documentation and contribute to organizational knowledge-sharing efforts.

• Embrace and contribute to a