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About the Role

Amgen is seeking a Senior Principal Scientist, Integrated Technology, Computation & Experimental Biology, to define and execute integrated strategies connecting human biology, computation, AI-enabled reasoning, preclinical models, and experimental testing to enhance therapeutic discovery speed and scalability.

Responsibilities

Provide scientific leadership for discovery programs, technology platforms, and strategic initiatives integrating experimental biology and computational science.
Lead cross-functional teams, create clarity in a rapidly evolving environment, and connect expertise across the organization.
Define therapeutic hypotheses based on human biology and translate them into coordinated computational analyses and experiments.
Connect human genetics, multi-omics, single-cell and spatial data, clinical observations, and experimental evidence to identify actionable mechanisms.
Leverage AI-enabled analytical approaches like machine learning and agentic workflows to synthesize data, identify therapeutic mechanisms, prioritize targets, and design experiments.
Partner with computational/data scientists, engineers, preclinical, clinical, and translational scientists.
Define and guide program strategy, milestones, experimental prioritization, and risk assessment.
Design, direct, analyze, and interpret experimental studies to interrogate target biology and support drug discovery.
Identify, evaluate, and implement emerging technologies to scale inflammation research.
Recognize scientific, technological, and industry trends and translate them into actionable opportunities.
Mentor and provide scientific and technical guidance to colleagues.
Foster an inclusive, connected, curious, and high-performing culture.
Communicate complex science, uncertainty, and recommendations to various audiences.
Build external scientific and technological eminence through collaborations, conference participation, publications, and patents.

Requirements

Doctorate degree (PhD, PharmD, or MD) with relevant post-doc and 3 years of computational biology and multi-omics data integration experience.
Master's degree with 6 years of computational biology and multi-omics data integration experience.
Bachelor's degree with 8 years of computational biology and multi-omics data integration experience.
Demonstrated ability to work independently with considerable latitude.
Ability to establish objectives, integrate activities across projects, and make high-quality decisions.
Demonstrated excellence in project leadership and balancing scientific rigor, strategic focus, urgency, adaptability, and operational execution.
Experience leading cross-functional scientific teams or serving as a lead scientist/technological resource.
Broad knowledge of experimental and computational biology, connecting adjacent innovation and technology areas.
Ability to integrate both experimental and computational approaches.
Track record of solving complex scientific problems through ingenuity, creativity, rigorous experimentation, quantitative reasoning, and integration of diverse evidence.
Excellent written and verbal communication skills.
Commitment to coaching and mentoring others, collegial behavior, and knowledge sharing.
Deep expertise in inflammation, immunology, tissue biology, human disease biology, computational biology, preclinical models, systems biology, imaging, bioengineering, or a closely related field.
Experience using AI-enabled tools, agentic workflows, advanced analytics, quantitative modeling, or multimodal data integration.
Strong record of designing or applying human-relevant experimental systems.
Ability to identify where technology can create a step change in biological understanding and convert concepts into robust, reproducible, and scalable research capabilities.
Experience advancing drug discovery programs and connecting mechanisms to target selection, modality, biomarkers, translational strategy, clinical differentiation, and portfolio value.
Evidence of scientific influence beyond an immediate team.

Skills

Computational biology
Multi-omics data integration
AI-enabled analytical approaches
Machine learning
Agentic workflows
Scientific leadership
Cross-functional team leadership
Experimental design
Data analysis
Data interpretation
Emerging technology evaluation
Scientific communication
Mentoring
Human biology
Inflammation research
Therapeutic discovery
Preclinical models
Systems biology
Imaging
Bioengineering
Quantitative reasoning
Biomarker strategy
Translational strategy

Location

U.S. (excluding Puerto Rico)

Work Type

Flexible work models where possible

Experience Level

Senior Principal Scientist

Education Level

Doctorate degree (PhD, PharmD, or MD)
Master's degree
Bachelor's degree

Salary/Compensations

170,568.65 USD - 230,769.35 USD

Benefits

Comprehensive employee benefits package
Retirement and Savings Plan with generous company contributions
Group medical, dental, and vision coverage
Life and disability insurance
Flexible spending accounts
Discretionary annual bonus program or sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans

About the Company

Amgen's mission is to serve patients living with serious illnesses.
Amgen pioneered the biotech industry and is advancing a pipeline and portfolio of medicines for heart disease, obesity, rare diseases, inflammatory conditions, and cancer.
Amgen fosters a collaborative, innovative, and science-based culture.
Amgen is dedicated to improving the quality of life for people around the world.
Amgen fosters an inclusive environment of ethical, committed, and highly accomplished people who respect each other and live the Amgen values.

Equal Opportunity

Amgen is an Equal Opportunity employer.
We make all employment decisions without regard to race, color, religion, sex or any other characteristic protected by applicable law.
We provide reasonable accommodations to applicants and employees with disabilities, consistent with legal requirements.
Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.