Our client a world leader in diagnostics and life sciences is looking for a "Machine Learning Engineer based out of South San Francisco CA (Hybrid).
Job Duration: Long term Contract (Possibility Of Further Extension)
Pay Rate : $78/hr on W2 DOE
Company Benefits: Medical Dental Vision Paid Sick leave 401K
We are looking for talented Machine Learning Engineer to join Prescient Design a division devoted to developing structural and machine learning-based methods for molecular design within clients 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.
Qualifications:
- PhD in a quantitative field (e.g. Computer Science Chemistry Chemical Engineering Computational Biology Physics) or MS with 3 years of industry experience.
- Demonstrated experience with machine learning libraries in production-ready workflows (e.g. PyTorch Lightning Weights and Biases).
- For this role we are seeking candidates with significant experience in at least one of the following areas and ideally some experience in one or more of the others listed in order of importance: Molecular property prediction Probabilistic modeling/inference Bayesian optimization or active learning Production software engineering or pipeline optimization addition to these skills strong software engineering experience is required.
If interested please send us your updated resume at
/
Required Skills:
Machine Learning life sciences pharmaceutical biotechnology
Required Education:
Masters
Our client a world leader in diagnostics and life sciences is looking for a "Machine Learning Engineer based out of South San Francisco CA (Hybrid). Job Duration: Long term Contract (Possibility Of Further Extension)Pay Rate : $78/hr on W2 DOE Company Benefits: Medical Dental Vision Paid Sick leave ...
Our client a world leader in diagnostics and life sciences is looking for a "Machine Learning Engineer based out of South San Francisco CA (Hybrid).
Job Duration: Long term Contract (Possibility Of Further Extension)
Pay Rate : $78/hr on W2 DOE
Company Benefits: Medical Dental Vision Paid Sick leave 401K
We are looking for talented Machine Learning Engineer to join Prescient Design a division devoted to developing structural and machine learning-based methods for molecular design within clients 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.
Qualifications:
- PhD in a quantitative field (e.g. Computer Science Chemistry Chemical Engineering Computational Biology Physics) or MS with 3 years of industry experience.
- Demonstrated experience with machine learning libraries in production-ready workflows (e.g. PyTorch Lightning Weights and Biases).
- For this role we are seeking candidates with significant experience in at least one of the following areas and ideally some experience in one or more of the others listed in order of importance: Molecular property prediction Probabilistic modeling/inference Bayesian optimization or active learning Production software engineering or pipeline optimization addition to these skills strong software engineering experience is required.
If interested please send us your updated resume at
/
Required Skills:
Machine Learning life sciences pharmaceutical biotechnology
Required Education:
Masters
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