AI Scientist
AbSci
- Vancouver, WA New York City, NY
- Permanent
- Full-time
modeling at the intersection of machine learning and drug discovery. As an AI Scientist, you will develop
AI models that generate and evaluate antibody therapeutic candidates, toward the ultimate goal of de
novo antibody design. We are looking for exceptional contributors with backgrounds in deep learning,
protein design and engineering, natural language processing, computer vision, and molecular dynamics
to develop innovative approaches to creating and assessing therapeutic antibodies in silico.The ideal candidate will:
- Care as much about solving the technical problems related to designing antibody therapeutics as
scale and impact of their contributions; * Invest in ensuring their work is accessible and interpretable to scientists with other domainexpertise.Why Absci's AI team?Absci offers AI Scientists a unique opportunity to not only develop novel, cutting edge machine learning
models, but also apply these models in real-time to generate candidate antibody therapeutics. In
particular:
- Absci provides its AI Scientists with access to industry-leading compute resources, enabling
- Develop state-of-the-art deep learning models for structure-based antibody design, antibody
physics-based antibody design and evaluation * Partner with teammates in AI Research, Platform Engineering, and Computational Biology toidentify key challenges and design innovative, AI-driven solutions * Analyze in silico and in vitro validation results to iteratively improve design and evaluationmethodologies * Deliver and publish high-impact research that advances Absci's position as a thought leader inthe field of AI antibody designQualifications:
- PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology,
- Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for
- Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary
- Strong publication record in respected, high-impact journals and conferences