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Job Details

Job ID:
14253
Category:
Marketing
Location:
United States
Job Type:
Remote

Senior Scientific Analyst - Cheminformatics AI/ML  

 

Position Purpose:  We are recruiting a skilled cheminformatics professional who can integrate chemistry, cheminformatics, pharmaceutics, and machine learning to enable in-depth analysis of synthetic chemistry, pharmaceutics, and related markets. This is a domain expert role that requires strong scientific background and is able to conduct in-depth cheminformatics-related analysis and data management.

Requirements

Duties and Responsibilities:

  • Build, maintain, and enable efficient search and analytics across large chemical databases and datasets, including data ingestion, indexing, similarity analysis and high-performance search.
  • Develop and apply agentic AI solutions for drug and pipeline analytics, including autonomous or human-in-the-loop workflows that integrate scientific literatures, data analysis, and computational tools.
  • Stay updated with emerging trends in computational chemistry and machine learning as applied to pharmaceutical drug development and market analytics.
  • Communicate and work effectively with technical leaders on complex, expert-level technical projects and matters

Qualifications

  • Master’s degree is required, preferably a Ph.D. in chemistry, computational chemistry, cheminformatics, or related scientific or technical field, with 2+ years of experience in pharmaceutical or biotech setting preferred.
  • Strong expertise in cheminformatics toolkits. Demonstrated experience managing and searching large chemical databases and datasets using scalable data engineering and high-performance search technologies.
  • Experience applying machine learning and developing agentic AI systems in drug and pharmaceutical analysis.
  • Adequate knowledge of the pharmaceutical and CRDMO (Contract Research Development and Manufacturing Organization) industry. 
  • Strong communication and interpersonal skills; ability to work effectively with interdisciplinary groups.

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