2027 Future Talent Program – Modeling & Informatics - Intern

MerckBoston, MA
$39,908 - $111,111Onsite

About The Position

The Future Talent Program features internships that last up to 12 weeks 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. 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. Applicants with previous research experience in the listed areas are highly preferred. You will be provided with laptops/lab equipment etc. as necessary to perform the role. This is a paid internship targeted to start in June 2027 and run for 10-12 weeks. Potential involvement in a scientific publication may occur as a result of the research undertaken during the internship. The department of Modeling & Informatics (M&I) is offering internships in the following disciplines: Modeling & Informatics (M&I) (Rahway, NJ; Boston, MA; West Point, PA; South San Francisco, CA). 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.

Requirements

  • 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
  • Strong academic background in chemistry, biochemistry, biophysics, informatics, computer science, or applied mathematics
  • 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
  • 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
  • Available for full-time employment for 10-12 weeks during the months of June – August 2027

Nice To Haves

  • Passion for scientific research
  • Excellent academic performance
  • Communication skills
  • Teamwork
  • Ability to work in a multi-functional environment
  • Strong science background in computer science or cheminformatics
  • Previous research experience in the listed areas
  • Significant interest in applying modeling and/or informatics methods towards drug discovery research
  • Programming skills
  • GPA of 3.0 or higher
  • Prior experience with cheminformatics approaches, such as chemigenomic data analysis, chemical reaction modeling, or chemical databases or data management
  • Prior experience with molecular modeling approaches such as docking, molecular dynamics, protein design, small molecule design, peptide design, quantum chemical calculations, and machine learning

Responsibilities

  • Participate in molecular modeling and/or cheminformatics research, either in an independent project or as part of a drug discovery team.
  • Learn how to employ data, models, and methods to drive hypothesis-driven drug discovery.
  • Be exposed to many areas of research relevant to the drug discovery and development process.

Benefits

  • Paid internship
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