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

Job Description

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.

Job Responsibility

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

Requirements

Doctorate degree PhD OR PharmD OR MD and relevant post-doc where applicable and 5 years of directly related experience
Master's degree and 8 years of directly related experience
Bachelor's degree and 10 years of directly related experience

Nice to have

PhD with 5+ years of experience applying AI/ML in biotechnology, pharmaceutical, or related R&D 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 we offer

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

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

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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