Senior Data Scientist – Surfaceome Biology

Career Category Information Systems Job Description What you will do Let’s do this. Let’s change the world. We are seeking a highly qualified and motivated Senior Data Scientist with a strong background in computational biology to join the Bioinformatics Technologies team within Amgen’s Automation, Research Data Systems, Informatics, and AI (ARIA) organization. ARIA is a multidisciplinary group embedded within Amgen’s discovery engine, leveraging advancements in digital technologies for disease modeling and digital modality engineering to accelerate the pipeline from target inception through drug development. Within ARIA, Bioinformatics Technologies serves as an innovation hub for developing, deploying, and applying emerging digital technologies in computational biology to drive the next generation of therapeutic discovery. By integrating diverse experimental and computational approaches, this role will build reusable evidence and data-integration capabilities that connect high-value external biomedical datasets and knowledge with internal data, analytical workflows, and AI/ML models. Our goal is to create a richer, more reliable evidence base that strengthens target discovery, target validation, biomarker identification, and understanding of disease biology. These insights are pivotal for advancing the next generation of targeted and multi specific drug modalities. In this role, you will lead technically complex projects spanning the evaluation and qualification of external evidence sources, harmonization and integration of diverse biological datasets, development of AI/ML-enabled analytical methods, and delivery of robust data and model products. You will work with global computational, experimental, and translational colleagues to translate complex data into testable hypotheses and discovery decisions. The successful candidate will possess strong analytical aptitude, deep technical expertise in computational sciences and AI/ML, and a solid understanding of molecular and cellular biology, proven by a track record of innovative and collaborative research.