2026 Future Talent Program – Modeling & Informatics - Co-op

Job Description

The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development division can provide you with great development and a chance to see if we are the right company for your long-term goals. The candidate will participate in molecular modeling and/or cheminformatics research, either in an independent project or as part of a drug discovery team. Prior experience with cheminformatics approaches, such as chemigenomic data analysis, chemical reaction modeling, or chemical databases or data management, or molecular modeling approaches such as docking, molecular dynamics, protein design, small molecule design, peptide design, quantum chemical calculations, and machine learning will be beneficial. The candidate will learn how to employ data, models, and methods to drive hypothesis-driven drug discovery and will be exposed to many areas of research relevant to the drug discovery and development process. Locations: Rahway, NJ; Boston, MA; West Point, PA; South San Francisco, CA **Please note when applying for this position, if the applicant is selected for an interview, they must be prepared to submit letters of recommendation, a brief research statement, and a copy of their transcript. Applicant must select location when applying for this position in those cases where multiple locations are listed **

Required Education, Experience and Skills

Candidates must be pursuing BS/BA or Master’s/Ph.D. degree in related field with demonstrated interest/experience in research areas relevant to the drug discovery process. Candidates must have strong academic background in chemistry, biochemistry, biophysics, informatics, computer science, or applied mathematics. Candidates must have completed at least two years of studies toward BS/BA degree or at least 1 year towards Master’s/PhD at the time of the position start date. Candidates must be currently enrolled