Senior AI Scientist (Remote) — Antibody Design

Absci Corp.; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Absci seeks a Senior/Staff AI Scientist to advance and deploy protein design models for antibody therapeutic discovery. You will apply deep learning, biology, and ML to identify targets and generate candidate antibodies in silico, with options to work remotely or onsite in NYC or Vancouver, WA.

You will collaborate across Disease, Structural and Computational Biology teams, publish impactful findings, mentor junior scientists, and contribute to Absci’s AI‑guided drug discovery platform and

Qualifications

• PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
• Seasoned deep learning expert with 3+ years of post‑graduate experience and a strong background in several of the following areas: biological world models, mathematical biology, systems biology, disease biology, computational biology/multi‑omics, experiment design to generate and/or handling intra‑and intercellular perturbation datasets
• Fluency in Python and PyTorch
• Expertise in large‑scale model architecture design and training
• Mastery of proper scoring rules, validation metrics for highly imbalanced biological datasets, and active learning paradigms.
• Demonstrated ability to work collaboratively in an ambitious, fast‑paced, interdisciplinary environment
• Demonstrated experience presenting complex technical work to diverse audiences
• Strong publication record in respected, high‑impact journals and conferences

Responsibilities

• Develop, adapt, and deploy deep learning models that predict the intra‑and intercellular signaling effects of potential therapeutic interventions
• Design experiments which generate data to train and validate systems biology models
• Collaborate closely with cross‑functional teams comprising Disease Biologists, Structural Biologists, Computational Biologists, and Wet Lab scientists to define and address the problem space within specific indications
• Develop in silico and in vitro validation approaches to iteratively improve design and evaluation methodologies
• Communicate and present experimental results in a manner that is accessible to audiences with highly‑diverse backgrounds, driving discussions that lead to high‑quality, informed decision‑making and program progression
• Deliver and publish high‑impact research that advances Absci’s position as a leader in AI‑guided antibody therapeutic discovery
• Actively develop organizational talent through coaching and mentoring other Scientists and Engineers
• Ability and willingness to learn new technical skills to improve scientific contributions

Skills

Python

PyTorch

Deep learning

Model architecture

Experiment design

Biological modeling

Collaboration

Publications

Education

PhD or equivalent in ML/CS/Computational Biology

Job description

Absci seeks a Senior/Staff AI Scientist to advance and deploy protein design models for antibody therapeutic discovery. You will apply deep learning, biology, and ML to identify targets and generate candidate antibodies in silico, with options to work remotely or onsite in NYC or Vancouver, WA.

You will collaborate across Disease, Structural and Computational Biology teams, publish impactful findings, mentor junior scientists, and contribute to Absci’s AI‑guided drug discovery platform and