Machine Learning Scientist/sr Scientist, Federated Benchmarking & Validation Engineering

Workday Lilly

Indianapolis, Indiana, USA
Base: $151,500 - $244,200; bonus/equity: compyny b...
Federated learning
Drug discovery
Ai model validation
The Machine Learning Scientist/Sr Scientist, Federated Benchmarking & Validation Engineering plays an essential role within the TuneLab platform, responsible for identifying, assessing, and implementing cutting-edge algorithmic solutions that leverage diverse datasets while ensuring data privacy and security for our biotech partners

Job Summary

  • The Machine Learning Scientist/Sr Scientist, Federated Benchmarking & Validation Engineering plays an essential role within the TuneLab platform, responsible for identifying, assessing, and implementing cutting-edge algorithmic solutions that leverage diverse datasets while ensuring data privacy and security for our biotech partners.
  • This position requires comprehensive knowledge in small molecule drug development, ADME/Tox, antibody engineering, and/or genetic medicine, combined with expertise in data science and statistical analysis to develop sophisticated models utilizing federated learning.
  • Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

Matching Summary

The Machine Learning Scientist/Sr Scientist, Federated Benchmarking & Validation Engineering plays an essential role within the TuneLab platform, responsible for identifying, assessing, and implementing cutting-edge algorithmic solutions that leverage diverse datasets while ensuring data privacy and security for our biotech partners.

Salary

Base: $151,500 - $244,200; Bonus/Equity: company bonus; Benefits: comprehensive benefit program

Skills & Requirements

Must-have

  • federated learning
  • drug discovery
  • AI model validation
  • privacy-preserving protocols
  • statistical validation
  • MLOps pipelines

Nice-to-have

  • biotech ecosystem collaboration
  • regulatory requirements for AI/ML
  • GxP compliance
  • scientific rigor
  • portfolio mindset

Key Requirements

  • PhD in Computational Biology, Bioinformatics, Cheminformatics, Computer Science, Statistics, or related field
  • Minimum of 2 years of experience in biopharmaceutical industry
  • Strong foundation in experimental design
  • Experience with ML model validation
  • Proficiency in data engineering
  • Proficiency in pipeline development
  • Proficiency in automation

Work Rights

Not specified

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