Director of Cheminformatics & Data Science Platforms

Scorpion Therapeutics; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Scorpion Therapeutics is seeking a senior leader to set vision and strategy for cheminformatics capabilities that accelerate drug discovery. You will lead a multi-site team of cheminformatics and data science professionals, develop talent, and foster an inclusive, high-performing culture.

You will collaborate with Bioinformatics, Biostatistics, and Modeling leaders to align priorities and ensure scalable platforms. Strong ML, data engineering, and stakeholder communication are essential.

Qualifications

• PhD or MS or BS with extensive experience in computational drug discovery.
• 7+ years (or 9+ or 13+) applying computational/data science to interdisciplinary drug discovery problems.
• 2+ years managerial experience in team building and inclusive leadership.

Responsibilities

• Set vision and strategy for cheminformatics capabilities and platforms.
• Lead a multi-site team of cheminformatics and data science specialists.
• Develop talent and foster inclusive leadership.
• Engage stakeholders across drug discovery spectrum.
• Translate scientific challenges into scalable data architectures and workflows.
• Drive next-generation cheminformatics workflows using ML and AI.

Skills

Computational workflows

Cheminformatics

Data analytics

Data engineering

Predictive modeling

Cross-functional collaboration

IT collaboration

Communication

Education

PhD + 7+ years experience

MS + 9+ years experience

BS + 13+ years experience

Tools

Cloud platforms

MLOps/DataOps

Knowledge graphs

Job description

Scorpion Therapeutics is seeking a senior leader to set vision and strategy for cheminformatics capabilities that accelerate drug discovery. You will lead a multi-site team of cheminformatics and data science professionals, develop talent, and foster an inclusive, high-performing culture.

You will collaborate with Bioinformatics, Biostatistics, and Modeling leaders to align priorities and ensure scalable platforms. Strong ML, data engineering, and stakeholder communication are essential.