Senior Scientific Analyst - Cheminformatics AI/ML

WuXi Chemistry; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

WuXi Chemistry is seeking a skilled cheminformatics professional to integrate chemistry, cheminformatics, pharmaceutics, and machine learning for in-depth analysis of synthetic chemistry and related markets.

The role emphasizes building and maintaining fast search and analytics across large chemical databases, developing agentic AI workflows, and collaborating with technical leaders on expert projects in drug development.

Qualifications

• Master's degree in chemistry, computational chemistry, cheminformatics, or related field.
• PhD preferred with 2+ years pharma/biotech experience.
• Strong expertise in cheminformatics toolkits and large database search.
• Experience applying machine learning to drug analytics.
• Knowledge of pharmaceutical CRDMO industry.
• Excellent communication and collaboration skills.

Responsibilities

• Build, maintain, and enable efficient search and analytics across large chemical databases and datasets.
• Develop and apply agentic AI solutions for drug and pipeline analytics.
• Stay updated with emerging trends in computational chemistry and ML for drug development and market analytics.
• Communicate and work effectively with technical leaders on complex, expert-level projects.

Skills

Cheminformatics

Machine learning

Data analysis

Communication

Education

Master’s degree in Chemistry/Computational Chemistry/Cheminformatics

PhD preferred

Tools

Cheminformatics toolkits

Job description

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.

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.