Applied ML Scientist, Cheminformatics for Drug Discovery

Genesis Molecular AI; San Mateo (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive compensation package

Comprehensive health benefits

401(k) plan

Unlimited PTO

Free lunches and dinners

Paid family leave

Disability insurance

Job summary

A leading molecular AI company in San Mateo, CA, is seeking a computational scientist to bridge research with drug discovery programs. The role involves evaluating AI model performance, collaborating with project teams, and contributing to drug development efforts. Candidates should have a Ph.D. in a relevant field and expertise in cheminformatics and machine learning. This position offers competitive compensation, comprehensive health benefits, and a stimulating work environment focused on groundbreaking drug discovery initiatives.

Qualifications

• Proven track record in machine learning for small molecule drug discovery.
• Hands-on mastery with cheminformatics tools.
• Experience in data science modeling and analysis.

Responsibilities

• Assess model performance and utility on project needs.
• Validate predictions against project data.
• Collaborate with teams for model deployment and functionality improvements.

Skills

Cheminformatics expertise

Machine learning methods

Coding skills in Python

Data analysis

Communication skills

Education

Ph.D. in Cheminformatics, Computational Chemistry, Computer Science or related

Tools

RDKit

OpenEye

scikit-learn

PyTorch

Job description

A leading molecular AI company in San Mateo, CA, is seeking a computational scientist to bridge research with drug discovery programs. The role involves evaluating AI model performance, collaborating with project teams, and contributing to drug development efforts. Candidates should have a Ph.D. in a relevant field and expertise in cheminformatics and machine learning. This position offers competitive compensation, comprehensive health benefits, and a stimulating work environment focused on groundbreaking drug discovery initiatives.