Remote Staff/Principal AI Scientist: Target Discovery

Absci Corporation; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Absci is seeking a Staff/Principal AI Scientist to advance and deploy virtual tissue models. You will apply deep learning and systems biology to identify therapeutic targets and accelerate antibody discovery.

As part of Absci’s AI team, you’ll develop scalable models, collaborate with disease biologists, protein engineers, and wet lab scientists, and communicate insights to drive program decisions. This is a remote role with optional onsite work in NYC or Vancouver, WA.

Qualifications

• PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, or related field.
• 6+ years for Staff, 8+ years for Principal.
• Fluency in Python and PyTorch.
• Experience with large-scale model design and training.
• Strong publication record in high-impact journals.

Responsibilities

• Develop, adapt and deploy deep learning models predicting signaling effects of therapies.
• Develop data sourcing strategies to train virtual tissue models.
• Collaborate with cross-functional teams to define problem space.
• Develop in silico and in vitro validation to improve design.
• Communicate results clearly to diverse audiences and drive decisions.
• Publish high-impact research advancing Absci’s antibody discovery.
• Mentor scientists and engineers.

Skills

Python

PyTorch

Deep learning

Systems biology

Multi-omics

Communication

Education

PhD or equivalent in ML/CS/Computational Biology

Job description

Absci is seeking a Staff/Principal AI Scientist to advance and deploy virtual tissue models. You will apply deep learning and systems biology to identify therapeutic targets and accelerate antibody discovery.

As part of Absci’s AI team, you’ll develop scalable models, collaborate with disease biologists, protein engineers, and wet lab scientists, and communicate insights to drive program decisions. This is a remote role with optional onsite work in NYC or Vancouver, WA.