Principal Scientist Computational Biology & Translational AI (Oncology Precision Medicine)

Company: Amgen
Location: South San Francisco
Posted on: March 2, 2026

Job Description:

Join Amgens Mission of Serving Patients At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do. Since 1980, weve helped pioneer the world of biotech in our fight against the worlds 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, youll 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, youll 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) What you will do Lets do this. Lets change the world. 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 panasset forward and reverse translation , designing and deploying AIenabled 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 panasset forward and reverse translational analyses , integrating preclinical, translational, and clinical data to generate mechanistic insight, biomarker hypotheses, and developmentrelevant evidence. Design and deploy Generative AI and Agentic AI systems that support hypothesis generation, evidence synthesis, and crossmodal reasoning across discovery, translation, and clinical development. Develop multiagent, toolusing AI workflows that integrate structured and unstructured data (omics, imaging, pathology, clinical data, literature) to accelerate translational insight generation. Apply modern statistical and AIenabled 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 AIassisted reasoning frameworks. Analyze and integrate multimodal translational data (e.g., genomics/transcriptomics, proteomics, epigenomics, singlecell, imaging, pathology, clinical endpoints) to support forward and reverse translational learning across oncology assets. Build and maintain AIenabled, reproducible translational analysis pipelines , including integration with agentic systems and automated insightgeneration 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 AIenabled 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 and 2 years of scientific/biopharma experience OR Masters degree and 5 years of scientific/biopharma experience OR Bachelors degree and 7 years of scientific/biopharma industry 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. Handson experience developing Generative AI and/or Agentic AI systems applied to scientific reasoning, hypothesis generation, or evidence synthesis. Experience integrating multimodal data (omics, imaging, pathology, clinical, text/literature) using AIenabled or modelbased approaches. Strong understanding of AI system evaluation, interpretability, and scientific reliability in decisioncritical 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 integratingAI/LLMdriven 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 AIenabled translational systems, not just running analyses, and who can integrate clinical, biological, and multimodal data through modern Generative and Agentic AI to drive forward and reverse translational insight and decisiongrade 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, well 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 for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Keywords: Amgen, Woodland , Principal Scientist Computational Biology & Translational AI (Oncology Precision Medicine), Science, Research & Development , South San Francisco, California