Associate Director / Director, Data Science and Engineering
Kimia Therapeutics(26 days ago)
About this role
This role leads the in silico components of Kimia Therapeutics' ATLAS platform, integrating high-throughput chemistry and biology with advanced computational methods. The position is responsible for building the software and data infrastructure that powers the company’s drug discovery engine in oncology and immune disorders. Reporting to the CTO, the leader will shape and execute the digital strategy, working closely with chemistry and biology counterparts. The role operates in a startup environment with significant influence on both the scientific platform and company culture.
Required Skills
- Technical Leadership
- Data Science
- Cheminformatics
- Software Engineering
- Machine Learning
- Drug Discovery
- Lab Automation
- Roadmap Planning
- Cross Functional Collaboration
- Team Management
+5 more
Qualifications
- BS in Computer Science
- BS in Mathematics
- BS in Chemistry
About Kimia Therapeutics
kimiatx.comKimia is a drug discovery company building a chemical atlas to treat human disease. Its ATLAS platform combines Active® Learning, automated synthesis, high‑throughput screening and machine learning to map relationships between chemical structure and protein function at high resolution and define druggable space. Through iterative generative chemistry workflows, Kimia designs, synthesizes, and tests novel molecules to uncover therapeutic targets and candidate drugs. The integrated automation + ML approach accelerates discovery and expands accessible chemical matter for generative drug design.
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