ML Chemist for De Novo Molecular Design

Aralez-Bio; Berkeley (CA); On-site; USD 165,000 - 180,000; Full time

Benefits offered by this job

Medical / dental / vision insurance

401k

Flexible Spending Account

Paid time off

Weekly catered lunch

Professional Development opportunities

Annual company retreat

Job summary

Aralez Bio is seeking a Data Scientist to build machine learning capabilities powering our R&D platform in Berkeley. You will own models from concept to deployment, shape ML infra, and create scalable data pipelines that convert experimental data into actionable predictions for de novo drug design.

Requirements include a PhD or MS in computational chemistry or related field with ML experience, strong Python and RDKit skills, and the ability to work closely with lab scientists to drive fast,

Qualifications

• Ph.D. or Master’s in Computational Chemistry or related field with ML experience.
• Proven track record deploying ML models to predict chemical properties.
• Experience with chemoinformatics toolkits and molecular representations.

Responsibilities

• Design, build, and deploy ML models to predict chemical properties and support de novo design.
• Develop scalable data pipelines for experimental screening data.
• Collaborate with laboratory scientists to translate questions into ML solutions.
• Improve ML infrastructure, training, evaluation, and monitoring with new data.
• Apply chemoinformatics tools to engineer features and improve predictions.
• Communicate insights via visualizations and presentations to stakeholders.
• Contribute to the technical direction of the ML platform with cross-team input.

Skills

Python

Data visualization

Communication

Independent work

Collaborative work

Education

Ph.D. in Computational Chemistry

M.S. in Chemoinformatics or related field

Tools

RDKit

REINVENT

Molecular dynamics

SQL

Job description

Aralez Bio is seeking a Data Scientist to build machine learning capabilities powering our R&D platform in Berkeley. You will own models from concept to deployment, shape ML infra, and create scalable data pipelines that convert experimental data into actionable predictions for de novo drug design.

Requirements include a PhD or MS in computational chemistry or related field with ML experience, strong Python and RDKit skills, and the ability to work closely with lab scientists to drive fast,