Director, Genomics Data Science & AI/ML Strategy

Eli Lilly and Company

Boston (MA)

On-site

USD 194,000 - 339,000

Full time

6 days ago
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Benefits offered by this job

401(k) plan
Vacation benefits
Medical/dental/vision benefits
Well-being program

Job summary

Eli Lilly and Company is seeking a Director of Genomics Data Science & AI/ML to lead a team of PhD scientists responsible for pipeline-facing genomics analyses and for developing AI/ML methods. The role partners with wet lab genomics and cross-functional project teams to drive portfolio decisions and ensure rigorous, reproducible analyses across multiple modalities.

The ideal candidate will advance machine learning approaches for genomics, mentor a high-performing team, and translate methods

Qualifications

  • PhD in bioinformatics, statistics, data science, or related field with relevant leadership experience.
  • Proven track record in leading scientists and developing methods for large-scale genomics data.
  • Strong background in machine learning for genomics and method evaluation.

Responsibilities

  • Oversee deployment of computational resources to enable drug discovery genomics efforts.
  • Lead, mentor, and grow a team of PhD-level data scientists.
  • Help set the team’s computational genomics and AI/ML strategy.
  • Build scalable tools and workflows for portfolio decisions.
  • Champion adoption of new analytical approaches across RNA Therapeutics.

Skills

Team leadership
Genomics AI/ML
Cloud computing
Machine learning

Education

PhD in bioinformatics

Tools

Python
R
TensorFlow

Job description

Eli Lilly and Company is seeking a Director of Genomics Data Science & AI/ML to lead a team of PhD scientists responsible for pipeline-facing genomics analyses and for developing AI/ML methods. The role partners with wet lab genomics and cross-functional project teams to drive portfolio decisions and ensure rigorous, reproducible analyses across multiple modalities.

The ideal candidate will advance machine learning approaches for genomics, mentor a high-performing team, and translate methods

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