Job Description:
- Pay: 48.00-78.00/hr.
- Length of Assignment:1 year contract with potential extension.
- Hybrid role: 2-3 days a week onsite.
- For this role, we are seeking candidates with significant experience in at least one of the following areas. Listed in order of importance: Molecular property prediction, Probabilistic modeling/inference, Bayesian optimization or active learning, Production software engineering or pipeline optimization, Cheminformatics.
- In addition to these skills, strong software engineering experience is required.
- We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning-based methods for molecular design within Research and Early Development (gRED) organization.
- The successful candidate will manage projects deploying new techniques for machine learning-based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns. Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning-based drug discovery. Additional activities may extend to include engineering pipelines for molecular generative modeling.
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