Head of Genomics Data Science & AI/ML

Eli Lilly and Company

Boston (MA)

In loco

USD 194.000 - 284.000

Tempo pieno

10 ore fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

401(k) plan
Medical, dental, vision benefits

Descrizione del lavoro

Lilly is recruiting an accomplished computational genomics scientist to lead the Genomics Data Science & AI/ML team in RNA Therapeutics. The Director will guide pipeline-facing analyses, mentor PhD-level scientists, and shape methods development while partnering with wet lab and project teams to drive portfolio impact.

The ideal candidate has a strong track record applying bioinformatics and ML to large-scale genomics data, and keeps ahead of emerging AI/ML approaches for genomics.

Competenze

  • PhD in bioinformatics, computational biology, statistics, data science, machine learning, biophysics or a related scientific field.
  • Minimum 4 years of relevant industry or academic leadership experience.
  • Experience leading teams of scientists including methods development.
  • Strong background in machine learning and deep learning for genomics.
  • Deep knowledge of statistics, genetics, genomics, integrative analysis, and modeling.
  • Experience with multiple genomics modalities and production analysis setups.

Mansioni

  • Oversee deployment of computational resources to enable drug discovery genomics.
  • Lead, mentor, and grow a team of PhD-level data scientists.
  • Help set the team’s computational genomics and AI/ML strategy.
  • Build on the team’s AI/ML work and advise on method selection and model design.
  • Translate novel computational methods into robust, scalable tools for portfolio decisions.
  • Champion adoption of new analytical approaches across RNA Therapeutics.
  • Foster an environment where team members contribute ideas and are recognized.
  • Navigate scientific questions and decide when to act.
  • Partner with scientific leaders to design genomics datasets for training and benchmarking.
  • Deliver rigorous, decision-grade analyses across modalities (3'-RNA-seq, mRNA-seq, MPRA, scRNA-seq, spatial transcriptomics, CLIP-seq, Perturb-seq).
  • Establish standards for reproducibility and QC across cloud-based workflows.
  • Drive process optimization to improve speed and success probability.

Conoscenze

Team leadership
ML for genomics
Genomics analysis
Cloud computing

Formazione

PhD in bioinformatics / computational biology / statistics / data science

Descrizione del lavoro

Lilly is recruiting an accomplished computational genomics scientist to lead the Genomics Data Science & AI/ML team in RNA Therapeutics. The Director will guide pipeline-facing analyses, mentor PhD-level scientists, and shape methods development while partnering with wet lab and project teams to drive portfolio impact.

The ideal candidate has a strong track record applying bioinformatics and ML to large-scale genomics data, and keeps ahead of emerging AI/ML approaches for genomics.

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