2025 University Recruiting - Data, AI, and Genome Sciences (DAGS), AI/ML Co-op

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 Future Talent Program within the Research and Development Division Data, AI, and Genome Sciences (DAGS) Department is offering co-op opportunities that last a period of six months. There is 1 position in the AIML group. Candidates can apply for the opportunity to be involved in a project designed to enable students to further develop their skills and to evaluate if we are the right company for their long-term goals. We are seeking highly motivated and talented students with computational skills and experience. 

AI/ML (1 position, Cambridge, MA, in person preferred)

Some potential projects could include:

Implement latest published methods and/or develop new methods for fine-tuning foundation models.

Implement or develop new methods for probing trained (pre-trained or fine-tuned) foundation models for learned biology.

Develop methods and techniques to enable harmonization of metadata.

Develop / Implement active learning techniques to learn predictive models in small labeled data regimes.

Required Education and Skills: 

Candidates must be currently enrolled in a minimum of a Bachelor's degree program in Computer sciences, Statistics, Bio-statistics or a related field of study. Students enrolled in graduate programs (MS or PhD) are highly encouraged to apply. 

Candidates must be available to work full-time for 6 months in 2025.  

Preferred Skills and Experience: 

Candidates must have experience with Python or R programming languages, experience with analysis of single-cell RNA-seq datasets will be beneficial.

Candidates must have demonstrated communication and interpersonal skills and must be able to work well in a collaborative team environment. 

Candidates must have excellent academic achievement and analytical ability. 

Candidates must have experience with modern deep learning tooling including PyTorch and / or JAX.

Experience with GPUs is strongly preferred.

Experience with cloud computing, AWS, and command line terminal. 

Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected salary range:

$39,600.00-$105,500.00

FTP2025

MRL2025

Current Employees apply HERE

Current Contingent Workers apply HERE

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Intern/Co-op (Fixed Term)

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Not Applicable

Shift:

Valid Driving License:

Hazardous Material(s):