AI Research Scientist I - Drug Discovery AI, Onsite Boston

AIT Community; Boston (MA); Hybrid; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Competitive compensation package

Above market benefits

Generous vacation and parental leave

Team building activities

Great colleagues

Zusammenfassung

1910 is seeking an AI Research Scientist I in Boston to prototype AI/ML solutions for the drug design pipeline, applying productionized models and contributing to publication efforts. You will collaborate with scientists and engineers, translating complex multimodal data into actionable insights while advancing frontier AI methods in a fast-paced startup culture.

Ideal candidates hold a PhD, with strong ML background (Transformers, Graph Neural Networks), production Python code, and experience

Qualifikationen

• PhD in a relevant discipline (CS, Biology, Chemistry, etc.)
• Strong statistics and classical ML foundations
• Experience training and deploying deep learning models (Transformers, GNNs)
• Proficient Python coding with production-quality practices
• Familiarity with MLOps/DevOps and distributed computing

Aufgaben

• Prototype AI/ML solutions for design pipeline
• Apply productized models to advance drug design campaigns
• Publish peer‑reviewed scientific articles
• Present recent AI research at internal journal clubs
• Collaborate cross-functionally with scientific colleagues
• Stay up-to-date on AI for drug discovery

Kenntnisse

ML

Python programming

Transformers

Graph Neural Networks

Communication skills

Ausbildung

PhD in Computer Science / Biology / Chemistry

Tools

Python

Azure

HPC Cluster

Git

DevOps

Jobbeschreibung

1910 is seeking an AI Research Scientist I in Boston to prototype AI/ML solutions for the drug design pipeline, applying productionized models and contributing to publication efforts. You will collaborate with scientists and engineers, translating complex multimodal data into actionable insights while advancing frontier AI methods in a fast-paced startup culture.

Ideal candidates hold a PhD, with strong ML background (Transformers, Graph Neural Networks), production Python code, and experience