Principal Scientist – AI/ML Workflow & Ecosystem Lead (Large Molecule Discovery Informatics) Full-time

Principal Scientist – Ai/Ml Workflow & Ecosystem Lead (Large Molecule Discovery Informatics)

How might you defy imagination?

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.

What you will do

Let's do this. Let's change the world. In this vital and exciting role, you will serve as a principal scientist within the research organization, leading the integration and scaling of artificial intelligence and machine learning (ai/ml) capabilities across the large molecule discovery (lmd) informatics ecosystem. You will be responsible for translating advanced computational models into robust, production-ready solutions that are embedded within scientific workflows and drive measurable impact across biologics research.

As a scientifically grounded leader, you will work closely with experimental and computational scientists to understand research needs and translate them into clear data, workflow, and platform requirements, partnering with technology teams to deliver scalable, production-grade solutions. You will operate at the intersection of science, data, and technology, ensuring that ai/ml capabilities are effectively deployed, adopted, and sustained within a complex rd environment.

This role plays a key role in advancing ai/ml implementation within large molecule discovery (lmd), working collaboratively with enterprise partners to align with and contribute to broader ai/ml strategies.

This role leads a horizontally integrated ai enablement team accountable for delivering the foundational capabilities required to scale ai within large molecule discovery.

In this role, your core responsibilities include:

• Lead the transition of ai/ml models from research into production-ready solutions within lmd, ensuring successful integration into domain-specific scientific workflows and informatics systems
• Lead and develop a multidisciplinary team responsible for ai enablement, data standards, and workflow integration within the lmd ecosystem
• Drive adoption of ai/ml capabilities within lmd by defining and implementing research-to-production handoff patterns to implement machine learning models into end-to-end discovery workflows and enabling intuitive, reliable user experiences for scientists
• Provide clear priorities, coaching, and execution oversight to ensure delivery of high-quality, scalable capabilities across a diverse technical team
• Establish best practices for model reproducibility, documentation, governance, and compliance, aligned with enterprise standards and deployment frameworks
• Partner directly with experimental and computational scientists to identify high-impact opportunities for ai/ml integration and ensure solutions align with real-world scientific workflows
• Translate scientific research needs into clear technical, data, and workflow requirements, partnering with technology teams to deliver scalable, production-grade solutions
• Partner across scientific, data, and technology functions to ensure availability of high-quality, ml-ready datasets and robust data pipelines supporting lmd workflows
• Enable standardization of complex biological data (e.g., sequencing and assay data) to support reproducible model training and downstream use in lmd
• Define and advance ontology and metadata frameworks to ensure interoperability and long-term reuse of data across lmd systems and modalities
• Monitor adoption, performance, and impact of deployed ai/ml capabilities within lmd, including development of metrics, dashboards, and reporting
• Lead cross-functional initiatives within lmd and coordinate across stakeholders to ensure alignment, manage scientific dependencies, and deliver integrated solutions at scale
• Collaborate with enterprise ai/ml strategy and platform teams to ensure alignment while representing lmd-specific needs and priorities

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 subject matter expert with these qualifications.

Basic qualifications:

Doctorate degree phd or pharmd or md [and relevant post-doc where applicable] and 5 years of directly related experience

Or

Master's degree and 8 years of directly related experience

Or

Bachelor's degree and 10 years of directly related experience

Preferred qualifications:

• Phd with 5+ years of experience applying ai/ml in biotechnology, pharmaceutical, or related rd environments
• Familiarity with large molecule or biologics discovery workflows
• Demonstrated experience translating computational models into production systems used in scientific or technical workflows
• Experience leading multidisciplinary teams across data, software, and scientific domains
• Strong understanding of machine learning lifecycle management, data engineering, and scalable system integration
• Experience with scientific data platforms, data modeling, and development of ml-ready datasets
• Proven ability to lead complex, cross-functional initiatives in matrixed organizations
• Strong communication skills with the ability to influence and align stakeholders across scientific and technical domains
• Experience defining and measuring adoption and impact of digital or ai-driven capabilities

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.

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.

Amgen offers a total rewards plan comprising 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 including:

• 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 and bi-annual company-wide shutdowns
• Flexible work models, including remote work arrangements, where possible

Apply now

For a career that defies imagination

Objects in your future are closer than they appear. Join us.