Inflammation Discovery Scientist (Computational & Experimental)

Amgen Inc.; South San Francisco (CA); Hybrid; USD 164,000 - 222,000; Full time

Benefits offered by this job

Retirement and Savings Plan with 회사

Medical, dental and vision coverage

Life and disability insurance

Flexible spending accounts

Bonus program

Stock-based long-term incentives

Award-winning time-off plans

Flexible work models

Job summary

Amgen Inc. is seeking a Principal Scientist, Integrated Computational and Experimental Inflammation Discovery.

You will combine experimental and AI/ML-driven approaches to accelerate discovery and development of therapies for inflammation, integrating data from genetics, literature, and clinical observations. The role requires deep wet-lab biology and computational expertise, with emphasis on mechanistic insights, target validation, and collaboration across cross-functional teams.

Qualifications

• Doctorate degree (PhD/MD/PharmD) with 2+ years in industry inflammation/immunology.
• Master’s degree with 5+ years in industry inflammation/immunology.
• Bachelor’s degree with 7+ years in industry inflammation/immunology.

Responsibilities

• Apply AI-driven approaches to generate mechanistic insights and guide experimental design.
• Design, execute, analyze and interpret studies on disease mechanisms.
• Generate high-quality data for target identification and validation in inflammation research.

Skills

AI/ML

Wet-lab biology

Data analysis

Education

PhD/MD/PharmD

Master’s in Inflammation/Immunology

Bachelor’s in Inflammation/Immunology

Job description

Amgen Inc. is seeking a Principal Scientist, Integrated Computational and Experimental Inflammation Discovery.

You will combine experimental and AI/ML-driven approaches to accelerate discovery and development of therapies for inflammation, integrating data from genetics, literature, and clinical observations. The role requires deep wet-lab biology and computational expertise, with emphasis on mechanistic insights, target validation, and collaboration across cross-functional teams.