Machine Learning Engineer
Machine Learning Engineer
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Our client a world leader in diagnostics and life sciences is looking for an "Image Data Scientist based out of South San Francisco CA.
Job Duration: Long Term Contract (Possibility Of Further Extension)
Company Benefits: Medical Dental Vision Paid Sick leave 401K
Job Description:
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
- You will join Prescient Design within the Computational Sciences organization in gRED. Your peers will be machine learning scientists engineers computational chemists and computational biologists.
- You will closely collaborate with scientists within Prescient and across gRED.
- You will develop machine learning and Bayesian optimization workflows to analyze existing and design new small and large molecules.
- Demonstrated experience with machinelearning libraries in production-ready workflows (e.g. PyTorch Lightning Weights and Biases)
- Experience with physical modeling methods (e.g. molecular dynamics) and cheminformatics toolkits (e.g. rdkit)
- Previous focus on one or more of these areas: molecular property prediction computational chemistry de novo drug design medicinal chemistry small molecule design self-supervised learning geometric deep learning Bayesian optimization probabilistic modeling statistical methods.
- Public portfolio of computational projects (available on e.g. GitHub).
Qualifications:
If interested please send us your updated resume at
Machine Learning, Bayesian, Computational Chemistry
Education
Bachelors'
Employment Type
Full Time
