Principal Scientist – Ai/ml Workflow & Ecosystem Lead (large Molecule Discovery Informatics)
Amgen
Hyderabad, India
On-site
Integrate and scale ai/ml capabilities
Translate computational models to production
Lead multidisciplinary ai enablement team
Lead the integration and scaling of artificial intelligence and machine learning (AI/ML) capabilities across the Large Molecule Discovery (LMD) informatics ecosystem
Job Summary
Lead the integration and scaling of artificial intelligence and machine learning (AI/ML) capabilities across the Large Molecule Discovery (LMD) informatics ecosystem.
Lead and develop a multidisciplinary team responsible for AI enablement, data standards, and workflow integration within the LMD ecosystem.
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.
Matching Summary
Lead the integration and scaling of artificial intelligence and machine learning (AI/ML) capabilities across the Large Molecule Discovery (LMD) informatics ecosystem.
Skills & Requirements
Must-have
Integrate and scale AI/ML capabilities
Translate computational models to production
Lead multidisciplinary AI enablement team
Develop scientific data standards
Drive AI/ML adoption in R&D
Establish model reproducibility best practices
Nice-to-have
Partner with enterprise AI/ML strategy
Align with broader AI/ML strategies
Ensure interoperability of biological data
Monitor adoption and performance metrics
Key Requirements
Doctorate degree and 5 years of experience
Master's degree and 8 years of experience
Bachelor's degree and 10 years of experience
PhD with 5+ years of AI/ML experience in biotech/pharma
Experience leading multidisciplinary teams
Experience translating computational models into production systems