R&D Partners

Machine Learning Engineer (Pharmaceuticals)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (Pharmaceuticals) on a 12-month contract in South San Francisco, California, with a pay rate of $97,801-$158,932. Key skills include machine learning libraries, Bayesian optimization, and experience in molecular design. A PhD or MS with 3+ years in a quantitative field is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
722
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πŸ—“οΈ - Date
October 8, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
South San Francisco, CA
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🧠 - Skills detailed
#GitHub #PyTorch #R #Computer Science #Supervised Learning #ML (Machine Learning) #Deep Learning #Libraries
Role description
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 β€’ Collaborate closely with scientists and develop machine learning and Bayesian optimization workflows to analyze existing and design new small and large molecules. β€’ Form close working relationships with small molecule and protein therapeutic development efforts. β€’ Work on existing projects and generate new project ideas. Qualifications β€’ PhD in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS with 3+ years of industry experience. β€’ Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases). β€’ Record of achievement, including at least one high-impact first author publication or equivalent. β€’ Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit). β€’ Previous focus on one or more of the following: β€’ Molecular property prediction β€’ Computational chemistry β€’ De novo drug design β€’ Medicinal chemistry β€’ Small molecule design β€’ Self-supervised learning β€’ Geometric deep learning β€’ Bayesian optimization β€’ Probabilistic modeling β€’ Statistical methods β€’ Public portfolio of computational projects (e.g., GitHub). Salary β€’ $97,801-$158,932 Why Choose R&D Partners? As an employee, you have access to a comprehensive benefits package including: β€’ Medical insurance – PPO, HMO & HSA β€’ Dental & Vision insurance β€’ 401k plan β€’ Employee Assistance Program β€’ Long-term disability β€’ Weekly payroll β€’ Expense reimbursement β€’ 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.