Senior Director BioIntelligence

Senior Director BioIntelligence What you will do In the AI & Data for Engineered Biologics (AIDE) organization at Amgen, we are seeking a Senior Director to lead our BioIntelligence team. You will develop and deploy AI-driven predictive modeling capabilities for biologics discovery in our Large Molecule Discovery organization, applying machine learning, statistical modeling, and generative AI to predict critical properties of engineered biologics and enable data‑driven therapeutic design. In this vital role, you will lead a sophisticated multidisciplinary team of machine learning and data scientists, define the scientific and technical strategy for AI-driven biologics property prediction, and partner closely with experimental teams, data engineering groups, and software platform teams across Amgen. Key Responsibilities Strategic Leadership Lead the BioIntelligence Team within our Large Molecule Discovery organization, defining strategy and priorities for AI-driven biologics modeling. Develop and execute a roadmap for machine learning and AI approaches that accelerate engineered biologics discovery. Align BioIntelligence capabilities with broader Research and Large Molecule Discovery priorities. AI for Biologics Modeling Oversee development of predictive models for key biologics properties, including developability, stability, manufacturability, and immunogenicity. Advance modeling approaches using modern AI techniques such as protein language models, generative modeling and inverse folding, representation learning, active learning, and Bayesian optimization. Guide the use of multimodal biological datasets including sequence, structure, and experimental assay data. Platform Integration & Model Deployment Lead development of production-quality research software and deployable ML models used across discovery teams. Partner with software engineering and data platform teams to ensure models are scalable, reproducible, and integrated into R&D workflows. Establish best practices for MLOps, model lifecycle management, and reproducible scientific computing. Cross-Functional Collaboration Work closely with teams across protein engineering, immunology, display technologies, systems biology, and discovery platforms. Partner with experimental scientists to design data generation strategies and active learning loops that improve model performance. Collaborate with data engineering and informatics groups to improve data accessibility, quality, and reuse across the discovery ecosystem. Team Leadership Build, mentor, and lead a high-performing team of machine learning scientists and computational biologists. Foster a culture of scientific rigor, innovation, and collaboration between computational and experimental scientists. Drive adoption of AI solutions across research teams by ensuring models are interpretable, robust, and scientifically trusted. 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 in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 5 years of experience applying machine learning or computational modeling to biological systems. Masters degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 9 years of experience applying machine learning or computational modeling to biological systems. Bachelors degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 11 years of experience applying machine learning or computational modeling to biological systems. At least 5 years of experience directly managing people and/or leading teams, projects, programs, or directing the allocation of resources. Preferred Qualifications Experience developing machine learning models for biologics properties. Experience with protein language models, diffusion models, generative modeling, or structure-based design. Experience deploying ML models into production scientific software platforms. Expertise in protein sequence or structure modeling, antibody engineering, or computational immunology. Strong leadership experience managing multidisciplinary computational science teams. Track record of publications, patents, or deployed technologies in AI for life sciences. What you can expect of us We support your professional and personal growth and well‑being through a competitive benefits package, career development opportunities, and flexible work models. 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. 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 where possible. Equal Opportunity Employment 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. Accommodation for Disabilities 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. #J-18808-Ljbffr Initial Therapeutics, Inc.