Staff/Principal Applied ML Scientist - Drug Discovery

Genesis Molecular AI; City of Utica (NY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Salary and equity

Health benefits

401(k)

Open PTO

Free meals

Family leave

Disability insurance

Job summary

Genesis Molecular AI seeks a seasoned scientist to bridge cutting-edge AI with experimental drug discovery. You will build, evaluate, and deploy models in active programs, guiding discovery with quantified predictions.

This role requires cheminformatics expertise, Python proficiency, and the ability to collaborate across ML, chemistry, and biology teams. Senior, Staff, and Principal levels are considered.

Qualifications

• PhD or equivalent in cheminformatics, computational chemistry, CS, or related field.
• Strong ML methods for small molecule data and drug discovery.
• Experience with RDKit or OpenEye.
• Experience with Graph Neural Networks, Bayesian optimization or active learning.

Responsibilities

• Assess model performance and utility with project teams.
• Support experimental colleagues with interpretation of model predictions.
• Validate predictions against project data and benchmarks.
• Curate internal/external datasets for training and validation.
• Design and analyze experiments on model changes and alternative architectures.

Skills

Machine learning

Cheminformatics

Data science

Python

Communication

Education

PhD in Cheminformatics/Computational Chemistry/CS

Tools

RDKit

OpenEye

PyTorch

scikit-learn

Job description

Genesis Molecular AI seeks a seasoned scientist to bridge cutting-edge AI with experimental drug discovery. You will build, evaluate, and deploy models in active programs, guiding discovery with quantified predictions.

This role requires cheminformatics expertise, Python proficiency, and the ability to collaborate across ML, chemistry, and biology teams. Senior, Staff, and Principal levels are considered.