Senior Scientist - Bioinformatics

Responsibilities:
- Incorporate cutting-edge generative AI for biomolecule design and optimization.
- Collaborate with a cross-functional team in a closed-loop cycle bridging AI technology and therapeutic development across multiple diseases.
- Apply and tailor state-of-the-art generative foundation models for biomolecule (protein, antibody, small molecules, nucleic acid) design and optimization.
- Train, fine-tune, and optimize models using experimental datasets (curation, distillation, encoding), including learning/adaptation with feedback from downstream experimental validation assays.
- Work closely with web lab teams and clinicians for closed-loop AI model development and inference.

Qualifications/Requirements:
- PhD in Computational Biology, Bioengineering, Bioinformatics, Systems Biology, Computer Sciences, Mathematics, Engineering, or related field.
- 2+ years of experience using AI for biomolecule research (proteins, antibodies, or other molecules).
- Familiar with cutting-edge generative AI foundation models for biomolecule applications.
- Programming proficiency in R, Python, Perl, Java, or Linux.

Preferred:
- Background/knowledge in structural biology and/or biochemistry.

Benefits (only if explicitly stated):
- Competitive and comprehensive total rewards package may include annual bonuses/incentives, equity awards, pension/retirement benefits, 401(k) match, health and wellness programs, insurance (medical/dental/vision/life/disability), paid time off, and family support benefits.

Application Instructions:
- Apply now.