Senior/Staff AI Scientist, Target Discovery
A
AbsciBiotechnology
United States - RemoteFull-TimeSenior
Salary$160K - $260K
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Job Details
- Experience
- 3+ years of post-graduate experience
- Required Skills
- PythonMachine LearningPyTorchDeep Learning
Requirements
- PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field
- 3+ years of post-graduate experience in deep learning
- Strong background in biological world models, mathematical biology, systems biology, disease biology, computational biology/multi-omics, or experiment design
- 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 interdisciplinary environment
- Demonstrated experience presenting complex technical work to diverse audiences
- Strong publication record in respected, high-impact journals and conferences
- Ability and willingness to learn new technical skills
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
- Develop in silico and in vitro validation approaches to iteratively improve design and evaluation methodologies
- Communicate and present experimental results to diverse audiences to drive informed decision-making
- Deliver and publish high-impact research that advances Absci’s position in AI-guided antibody discovery
- Actively develop organizational talent through coaching and mentoring other Scientists and Engineers
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