Senior Director – BioIntelligence
Amgen
full-time
Posted on:
Location Type: Hybrid
Location: Thousand Oaks • California • Massachusetts • United States
Visit company websiteExplore more
Salary
💰 $239,775 - $295,217 per year
Job Level
About the role
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
- OR Master’s 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.
- OR Bachelor’s 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.
- In addition to meeting at least one of the above requirements, you must have at least 5 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources.
Benefits
- 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
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningAI-driven biologics modelingpredictive modelingprotein language modelsgenerative modelinginverse foldingrepresentation learningactive learningBayesian optimizationMLOps
Soft Skills
leadershipteam buildingcollaborationmentoringscientific rigorinnovationcommunicationproject managementresource allocationstrategic planning