Senior Scientist - Cheminformatics & AI-Driven Drug Discovery

Sotalent; Boston (MA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) matching

Generous paid time off

Job summary

Sotalent is seeking a Senior Scientist to lead Cheminformatics and Computational Discovery efforts in a fast-paced biopharmaceutical setting. The role emphasizes a prediction-priority approach, bridging medicinal chemistry with advanced computational modeling to accelerate therapeutic breakthroughs.

The candidate will design scalable workflows, apply ML to molecular design, and collaborate with cross-functional teams to integrate computational tools into the DMTA cycle.

Qualifications

• PhD required in a quantitative field relevant to cheminformatics or computational chemistry.
• Post-PhD experience of 2+ years in biotech or pharma.
• Strong programming and data analysis skills; able to build scalable automated workflows.

Responsibilities

• Design and automate sophisticated cheminformatics pipelines and data visualization platforms.
• Develop and deploy machine learning models to optimize molecular design.
• Collaborate with Global Medicinal Chemistry, DMPK and AI/ML teams across DMTA cycle.
• Stay at the forefront of generative chemistry and AI-driven discovery methods.
• Analyze DEL data using deep learning to enhance hit identification.

Skills

Python (RDKit)

R

C++

Education

PhD in Cheminformatics/Computational Chemistry/CS or related quantitative field

Tools

RDKit

Job description

Sotalent is seeking a Senior Scientist to lead Cheminformatics and Computational Discovery efforts in a fast-paced biopharmaceutical setting. The role emphasizes a prediction-priority approach, bridging medicinal chemistry with advanced computational modeling to accelerate therapeutic breakthroughs.

The candidate will design scalable workflows, apply ML to molecular design, and collaborate with cross-functional teams to integrate computational tools into the DMTA cycle.