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Rahway, NJ

Internship

Onsite

Intern

Merck is offering a Future Talent Program internship in its Research and Development Division. The intern will participate in molecular modeling and/or cheminformatics research through an independent project or as part of a drug discovery team, using data, models, and methods to support hypothesis-driven drug discovery.

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Responsibilities

The candidate will participate in molecular modeling and/or cheminformatics research, either in an independent project or as part of a drug discovery team
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

Qualification

Required

We are seeking candidates with a passion for scientific research, excellent academic performance, communication skills, teamwork, and the ability to work in a multi-functional environment
A strong science background in computer science or cheminformatics is essential
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 in an academic program at the time of the application and be continuing education for at least 1 semester once the position ends
Candidates must be available for full-time employment for 10-12 weeks during the months of June – August 2027

Preferred

Applicants with previous research experience in the listed areas are highly preferred
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
Candidates should have significant interest in applying modeling and/or informatics methods towards drug discovery research
Candidates should have Programming skills
Candidates should have GPA of 3.0 or higher