Associate Director/Principal, Machine Learning Scientist
Tasks
- Build multi modality multi objective iterative protein sequence optimization
- Collaborate with engineering for model deployment
- Design and implement generative models for antibody sequence and structure
- Develop and deploy de novo antibody design methods
- Identify platform inefficiencies and plan ML methods development
- Lead and mentor ML and data science teams
- Maintain state of the art knowledge in ML protein engineering
- Provide ML expertise for therapeutics programs
- Publish in scientific journals
- Set strategy for future ML research
- Support lab in the loop antibody design
- Train predictive models for antibody properties
Perks/Benefits
- 401k match
- Dental coverage
- Health insurance
- Paid parental leave
- Two weeks company shutdown
- Vision coverage
Skills/Tech-stack
AWS | Bayesian optimization | De Novo | De novo design | Deep learning | Generative Models | Lab In The Loop | Machine Learning | Multi-Objective Optimization | NGS | Next-Generation Sequencing | Objective optimization | Predictive Modeling | Protein Engineering | Protein Sequence Optimization | PyTorch | Python | Sequence optimization | The Loop
Education
Regions
Countries
States
Cities
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