R&D Partners is seeking to hire a Machine Learning Engineer in South San Francisco, CA .
Your main responsibilities as a Machine Learning Engineer :
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.
You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
What we are looking for in Machine Learning Engineer :
PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
Record of achievement, including at least one high-impact first author publication or equivalent.
Excellent written, visual, and oral communication and collaboration skills.
Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
Why Choose R&D Partners ?
As an employee, you have access to a comprehensive benefits package including:
Pay Scale:
$75,691 - $168,653 (Dependent on Experience)
R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies.
R&D Partners is an equal-opportunity employer.
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