Machine Learning Engineer

R&D Partners; South San Francisco (CA); On-site; USD 134,908 - 168,646; Full time

Benefits offered by this job

Medical insurance – PPO, HMO & HSA

401k plan

Employee Assistance Program

Long-term disability

Weekly payroll

Job summary

A leading life sciences staffing firm in South San Francisco is seeking a Machine Learning Engineer. This role involves developing machine learning-based methods for molecular design, analyzing and designing drug molecules, and collaborating with scientists and engineers. The ideal candidate has a strong quantitative background with a PhD or relevant MS level experience. The position is a 12-month contract with competitive pay and benefits.

Qualifications

• PhD degree in Computer Science, Chemistry, Chemical Engineering, Computational Biology, or Physics.
• Demonstrated experience with machine learning libraries in production-ready workflows.
• Public portfolio of computational projects available.

Responsibilities

• Develop ML and Bayesian optimization workflows.
• Analyze existing, and design new, small and large molecules.
• Work closely with development teams.

Skills

Machine Learning

Bayesian Optimization

Computational Chemistry

Data Analysis

Communication Skills

Education

PhD in a quantitative field

MS degree and 3+ years of industry experience

Tools

PyTorch

rdkit

Job description

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This range is provided by R&D Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$134,908.00/yr - $168,646.00/yr

We are looking for a talented Machine Learning Engineer to develop structural and machine learning based methods for molecular design. The 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

• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• 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.
• You will be expected to work on existing projects and generate new project ideas.

Qualifications

• PhD degree in a quantitative field (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).
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub).
• $134,908-$168,646

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

• Seniority level

  Associate

Employment type

• Employment type

  Contract

Job function

• Job function

  Research

• Industries

  Staffing and Recruiting and Biotechnology Research

Referrals increase your chances of interviewing at R&D Partners by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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