Senior AI Scientist (Drug Discovery & Computational Biology) Boston, MA Hybrid

Boston, MA, US • Posted 20 hours ago • Updated 20 minutes ago
Contract Corp To Corp
Contract W2
Contract Independent
On-site
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • AI
  • Drug discovry
  • Biology

Summary

Position Title: Senior AI Scientist Drug Discovery & Computational Biology

Location: Boston, MA Hybrid

C2C or W2 or 1099

Job Description

We are seeking a highly skilled professional with deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development. The ideal candidate will have experience in:

  • AI and machine learning methodologies for drug discovery, including predictive modeling, lead optimization, and translational research applications.
  • Graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery.
  • Virtual cell screening and AI-driven target discovery platforms, with particular focus on rare disease research and therapeutic innovation.
  • AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization.
  • Structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows.

The candidate should demonstrate a strong track record of leveraging advanced computational approaches to accelerate therapeutic discovery and possess the ability to collaborate effectively with multidisciplinary research and development teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10383634
  • Position Id: 2026-35155
  • Posted 20 hours ago
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