Contract Scientific Programmer (Computational Chemistry)

Contract Scientific Programmer (Computational Chemistry)

W2 Contract

Salary Range: $135,200 - $156,000 per year

Location: Redwood City, CA - Hybrid Role

Job Summary:

We are seeking a highly motivated Machine Learning Scientist / Computational Chemist with deep expertise in predictive modeling for small molecule (preferably bRo5) properties.

Duties and Responsibilities:

• Play a pivotal role in the development, validation, and deployment of machine learning models for small-molecule property prediction, with an emphasis on ADMET endpoints for bRo5 molecules/macrocycles.
• Design and evaluate modern ML architectures (e.g., graph neural networks) and feature representations for chemically diverse datasets.
• Implement rigorous model evaluation, uncertainty estimation, and performance monitoring to support data-driven decision-making.
• Analyze large, heterogeneous chemical datasets and optimize training strategies for sparse, noisy, or biased experimental data.
• Integrate internal and external ML tools, software packages, and open-source GitHub repositories into scalable workflows.
• Contribute to building scalable, production-ready computational pipelines that can be broadly adopted by project teams.

Requirements and Qualifications:

• PhD degree in Chemistry, Chemical Engineering, or a related physical or quantitative science.
• Strong experience in scientific programming, particularly Python, numerical methods, and scientific computing.
• Effective oral and written communication skills, with the ability to collaborate across disciplines in a team-oriented research environment.

Preferred Qualifications:

• Hands-on experience building or applying ADMET predictive ML models for small molecules.
• Solid background in cheminformatics, including molecular representations, descriptors, fingerprints, dataset curation, and model interpretability.
• Experience with ChemProp or related graph neural network frameworks is a strong plus.
• Experience working with beyond-Rule-of-5 (bRo5) molecules, macrocycles, or other chemically complex modalities is highly desirable.
• Passionate about teamwork and technical problem-solving with a proven track record of delivering innovative solutions in machine learning and protein engineering.
• Collaborate with interdisciplinary project teams to facilitate effective decision-making.

Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.

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