Absci

AI Scientist

Absci

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York, Washington

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $160,000 - $260,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonPyTorch

About the role

  • Absci is a data-first AI drug creation company designing differentiated therapeutics using generative AI
  • Integrated Drug Creation platform powers de novo AI models and AI lead optimization models for biologics
  • Develop AI models that generate and evaluate antibody therapeutic candidates toward de novo antibody design
  • Role intersects deep learning, protein design and engineering, NLP, computer vision, and molecular dynamics
  • Position can be remote, hybrid, or on-site in New York, NY, or Vancouver, WA
  • Key responsibilities: develop state-of-the-art deep learning models for structure-based antibody design, sequence design, antibody-antigen co-folding, binding prediction, and physics-based evaluation
  • Partner with AI Research, Platform Engineering, and Computational Biology to identify challenges and design AI-driven solutions
  • Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies
  • Deliver and publish high-impact research advancing Absci’s position in AI antibody design

Requirements

  • PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
  • 3+ years of research experience at the intersection of machine learning and protein design, molecular modeling, or a related field (ideally including industry experience)
  • Fluency in Python and PyTorch
  • Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for protein design and protein structure prediction
  • Expertise in large-scale model training
  • 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
  • Care about solving technical problems related to designing antibody therapeutics and translating solutions to the clinic
  • Ability to influence the AI team’s research agenda and maintain responsibility and accountability for work
  • Curiosity to develop proficiency outside own domain and increase scale and impact of contributions
  • Invest in ensuring work is accessible and interpretable to scientists in other domains