Principal Scientist – Computational Biology & Translational AI (Oncology Precision Medicine) Full-time

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 and portfolio 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 – Computational Biology & Translational AI (Oncology Precision Medicine)

The Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Principal Scientist with deep expertise in modern AI (Generative AI and Agentic AI), multi-modal data integration, combined with strong foundation in clinical biomarkers and translational science.

This role focuses on pan-asset forward and reverse translation, designing and deploying AI-enabled analytical and agentic systems that connect preclinical, translational, and clinical data to drive mechanistic understanding, biomarker hypotheses, and development strategy across oncology programs.

In this vital role you will:

• Lead pan-asset forward and reverse translational analyses, integrating preclinical, translational, and clinical data to generate mechanistic insight, biomarker hypotheses, and development-relevant evidence.
• Design and deploy Generative AI and Agentic AI systems that support hypothesis generation, evidence synthesis, and cross-modal reasoning across discovery, translation, and clinical development.
• Develop multi-agent, tool-using AI workflows that integrate structured and unstructured data (omics, imaging, pathology, clinical data, literature) to accelerate translational insight generation.
• Apply modern statistical and AI-enabled approaches to connect molecular mechanisms, biomarkers, and clinical phenotypes, supporting indication strategy, patient stratification concepts, and learning across assets.
• Drive reverse translation by systematically linking clinical observations back to molecular and biological hypotheses using multimodal data and AI-assisted reasoning frameworks.
• Analyze and integrate multi-modal translational data (e.g., genomics/transcriptomics, proteomics, epigenomics, single-cell, imaging, pathology, clinical endpoints) to support forward and reverse translational learning across oncology assets.
• Build and maintain AI-enabled, reproducible translational analysis pipelines, including integration with agentic systems and automated insight-generation workflows.
• Partner with biology, assay, pathology, and clinical teams to contextualize and interpret translational signals, rather than owning routine assay delivery.
• Represent CfTI in Amgen program and portfolio teams as a translational science and AI thought leader, contributing AI-enabled forward and reverse translational insight across assets.
• Communicate results clearly to clinical and scientific stakeholders and contribute to translational and biomarker strategy, regulatory-facing analyses (as needed), and reverse translation learning.

What We Expect Of You

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications.

Basic Qualifications:

• Doctorate degree, PhD, PharmD or MD and 2 years of computational Biology experience
• OR
• Master's degree and 5 years of computational Biology experience
• OR
• Bachelor's degree and 7 years of computational Biology experience

Preferred Qualifications:

• PhD in Bioinformatics, Mathematics, Statistics, Computer Science, Computational Biology, Data Science, or related field, with a strong foundation in biology and translational science.
• Demonstrated expertise in forward and/or reverse translational science, linking molecular mechanisms, biomarkers, and clinical outcomes across discovery and development.
• Hands-on experience developing Generative AI and/or Agentic AI systems applied to scientific reasoning, hypothesis generation, or evidence synthesis.
• Experience integrating multi-modal data (omics, imaging, pathology, clinical, text/literature) using AI-enabled or model-based approaches.
• Strong understanding of AI system evaluation, interpretability, and scientific reliability in decision-critical environments.
• Working knowledge of clinical biomarker platforms and translational readouts, enabling effective collaboration with assay and clinical teams.
• Demonstrated experience generating translational and biomarker insights that influenced clinical development decisions (e.g., indication strategy, trial design, stratification, or mechanistic understanding).
• Strong programming experience in R and/or Python, with experience integrating AI/LLM-driven components into reproducible analysis workflows (version control, workflow orchestration, documentation).
• Familiarity with modern data and analytics infrastructure supporting scalable, auditable AI systems in clinical research environments.
• Ability to work effectively in a highly matrixed environment and drive scientific and technical innovation collaboratively across functions.
• Strong written and oral communication skills, self-motivation, independence, and scientific leadership.

This role is ideal for a scientist who enjoys building AI-enabled translational systems, not just running analyses, and who can integrate clinical, biological, and multi-modal data through modern Generative and Agentic AI to drive forward and reverse translational insight and decision-grade impact.

What You Can Expect Of Us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• A 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
• A 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, including remote and hybrid work arrangements, where possible

Apply Now

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