R&D Partners
Machine Learning Engineer (Pharmaceuticals)
R&D Partners, South San Francisco, California, us, 94083
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Base pay range
$97,801.00/yr - $158,932.00/yr Pharmaceutical company is looking for a talented Machine Learning Engineer to develop structural and machine learning-based methods for molecular design. 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. This is a 12-month contract based in South San Francisco, California. Responsibilities
Collaborate closely with scientists and develop machine learning and Bayesian optimization workflows to analyze existing and design new small and large molecules. Form close working relationships with small molecule and protein therapeutic development efforts. Work on existing projects and generate new project ideas. 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). Record of achievement, including at least one high-impact first author publication or equivalent. Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit). Previous focus on one or more of the following: Molecular property prediction; Computational chemistry; Medicinal chemistry; Self-supervised learning; Geometric deep learning; Probabilistic modeling; Statistical methods; Public portfolio of computational projects (e.g., GitHub). Why Choose R&D Partners?
As an employee, you have access to a comprehensive benefits package including: Medical insurance – PPO, HMO & HSA 401k plan Employee Assistance Program Long-term disability Weekly payroll Online timecard approval 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. Seniority level
Associate Employment type
Contract Job function
Information Technology and Research Industries
Staffing and Recruiting Pharmaceutical Manufacturing Referrals increase your chances of interviewing at R&D Partners by 2x
#J-18808-Ljbffr
$97,801.00/yr - $158,932.00/yr Pharmaceutical company is looking for a talented Machine Learning Engineer to develop structural and machine learning-based methods for molecular design. 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. This is a 12-month contract based in South San Francisco, California. Responsibilities
Collaborate closely with scientists and develop machine learning and Bayesian optimization workflows to analyze existing and design new small and large molecules. Form close working relationships with small molecule and protein therapeutic development efforts. Work on existing projects and generate new project ideas. 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). Record of achievement, including at least one high-impact first author publication or equivalent. Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit). Previous focus on one or more of the following: Molecular property prediction; Computational chemistry; Medicinal chemistry; Self-supervised learning; Geometric deep learning; Probabilistic modeling; Statistical methods; Public portfolio of computational projects (e.g., GitHub). Why Choose R&D Partners?
As an employee, you have access to a comprehensive benefits package including: Medical insurance – PPO, HMO & HSA 401k plan Employee Assistance Program Long-term disability Weekly payroll Online timecard approval 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. Seniority level
Associate Employment type
Contract Job function
Information Technology and Research Industries
Staffing and Recruiting Pharmaceutical Manufacturing Referrals increase your chances of interviewing at R&D Partners by 2x
#J-18808-Ljbffr