AI Scientist
Absci
PythonPyTorch
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.
- Develop AI models that generate and evaluate antibody therapeutic candidates for de novo antibody design.
- Collaborate with cross-functional teams (disease biologists, structural biologists, wet lab scientists) to define design criteria and deliver AI designs.
- Deploy deep learning models for structure-based and sequence-based antibody design, co-folding, binding prediction, and physics-based evaluation.
- Collaborate with wet lab to design AI antibody libraries and wet lab workflows for in vitro assessment.
- Analyze in silico and in vitro validation results and iteratively improve methodologies.
- Communicate and present results to diverse audiences and publish high-impact research.
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
- Demonstrated experience in developing and applying molecular simulation and/or computational biophysics tools
- Fluency in Python and familiarity with 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 deployment
- Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment, including with Wet Lab scientists.
- Demonstrated excellence in cross-disciplinary communication and collaboration, and in presenting complex technical work to diverse audiences
- Strong publication record in respected, high-impact journals and conferences
- Basic understanding of the drug discovery process with an earnest desire to learn more
