Principal Scientist: Human Data & AI for Inflammation

Amgen; Thousand Oaks (CA); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Retirement plan

Medical coverage

Dental coverage

Vision coverage

Life insurance

Disability insurance

Flexible spending accounts

Stock-based incentives

Bonus program

Time-off

Flexible work model

Job summary

Amgen is seeking a Principal Scientist in Inflammation to lead integrative human data and computational biology efforts. You will combine experimental and AI-driven strategies to accelerate discovery and development of innovative therapies, bringing deep wet-lab biology and computational expertise to the table.

Responsibilities include designing studies, generating data for target validation, and presenting insights to teams, while fostering collaboration and scientific excellence in a dynamic,

Qualifications

• PhD, PharmD, or MD with relevant post-doc/industry experience in inflammation/immunology.
• Experience integrating computational and experimental approaches to disease biology.
• Strong track record of scientific publications and data-driven decision making.

Responsibilities

• Apply AI-driven and experimental approaches to uncover mechanisms of inflammation.
• Design and execute studies to test therapeutic hypotheses in inflammation research.
• Generate and analyze high-quality data to support target validation.
• Integrate findings with literature, genetics, and clinical observations to guide decisions.
• Present findings to project teams and governance forums.
• Maintain thorough documentation and promote knowledge sharing.

Skills

Computational biology

Wet-lab biology

AI/ML in biology

Data integration

Scientific communication

Education

PhD

PharmD

MD with industry exp

MS in related field

BS with experience

Job description

Amgen is seeking a Principal Scientist in Inflammation to lead integrative human data and computational biology efforts. You will combine experimental and AI-driven strategies to accelerate discovery and development of innovative therapies, bringing deep wet-lab biology and computational expertise to the table.

Responsibilities include designing studies, generating data for target validation, and presenting insights to teams, while fostering collaboration and scientific excellence in a dynamic,