VP, Generative AI for Antibody Design & Biotherapeutics

Scorpion Therapeutics

San Diego (CA)

On-site

USD 250,000 - 350,000

Full time

5 days ago
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Job summary

Lilly BioTDR is seeking a Vice President of Generative Foundation Models for Biotherapeutics in San Diego to lead AI-driven protein design platforms for antibodies and VHH therapeutics. You will shape the scientific strategy for structure-based generative models and oversee pretraining, fine-tuning, and validation efforts.

You will build and mentor a team of AI researchers and engineers, collaborate across biology and data science disciplines, and communicate strategy to senior leadership and

Qualifications

  • Ph.D. in computer science, computational biology, or related STEM with 5+ years post-Ph.D. research or MS with 10+ years.
  • Extensive experience in deep learning, generative modeling, and large-scale GPU training.
  • Proven record in biomolecular structure modeling and first-author contributions.
  • Fluency in Python and PyTorch.

Responsibilities

  • Define and execute scientific strategy for structure-based generative models, oversee model pretraining, fine-tuning, and validation.
  • Build and lead a team of AI researchers and engineers.
  • Collaborate across disciplines to integrate biological data and drive innovation.
  • Communicate strategy to leadership and scientific community.

Skills

Deep learning
Generative modeling
GPU training
Python
PyTorch
Biomolecular modeling
Publications (first-author)

Education

Ph.D. in computer science, computational biology, or related STEM
5+ years post-Ph.D. research or MS with 10+ years

Tools

PyTorch
GPU hardware experience

Job description

Lilly BioTDR is seeking a Vice President of Generative Foundation Models for Biotherapeutics in San Diego to lead AI-driven protein design platforms for antibodies and VHH therapeutics. You will shape the scientific strategy for structure-based generative models and oversee pretraining, fine-tuning, and validation efforts.

You will build and mentor a team of AI researchers and engineers, collaborate across biology and data science disciplines, and communicate strategy to senior leadership and

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