About The Position

We are recruiting a skilled cheminformatics professional to integrate chemistry, cheminformatics, pharmaceutics, and machine learning to support in-depth analysis of synthetic chemistry, pharmaceutics, and related markets. This domain expert role requires a strong scientific background and the ability to conduct detailed cheminformatics analysis and data management. The Senior Scientific Analyst builds and maintains efficient search and analytics capabilities across large chemical databases and datasets, and develops agentic AI solutions for drug and pipeline analytics. The role also tracks emerging computational chemistry and machine-learning trends relevant to pharmaceutical drug development and market analytics, and works with technical leaders on complex expert-level projects.

Requirements

  • Master’s degree in chemistry, computational chemistry, cheminformatics, or a related scientific or technical field; a Ph.D. is 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, with the ability to work effectively with interdisciplinary groups.

Nice To Haves

  • Ph.D. in chemistry, computational chemistry, cheminformatics, or a related scientific or technical field.
  • Two or more years of experience in a pharmaceutical or biotech setting.

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 literature, 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.
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