2027 Future Talent Program - Data, AI, and Genome Sciences, Foundation Models - Intern

MSD; Cambridge (MA); Presencial; USD 40 000 - 111 000; Tempo integral

Resumo da oferta

Merck & Co., Inc. in Cambridge, MA offers a Future Talent Program internship in the AI/ML Methods & Modeling group within the DAGS department for a 10-12 week term.

This paid opportunity aims to develop your skills through real-world genomic projects. Interns will develop statistical and computational methods to analyze large-scale genetic datasets, collaborate in an interdisciplinary team, and contribute to validation and sequencing analyses.

Qualificações

• PhD candidacy in computer science, statistics, bioinformatics or related field.
• Available to work full-time for 10–12 weeks beginning May/June 2027.
• Excellent Python software development skills.
• Strong experience with PyTorch, TensorFlow or JAX.
• Excellent communication and teamwork in multi-disciplinary settings.
• Interest in life sciences and disease biology.

Responsabilidades

• Develop statistical and computational methods/pipelines to analyze genetic and genomic datasets.
• Analyze large-scale human genetic/genomic datasets to identify disease targets and biomarkers.
• Collaborate in an interdisciplinary team supporting validation, including bioinformatic analysis of bulk and single-cell sequencing.

Conhecimentos

Python

ML frameworks

Communication

Team collaboration

Life sciences interest

Formação académica

PhD candidate in CS/Stats/Bioinformatics/Computational Biology

Ferramentas

PyTorch

TensorFlow

JAX

Descrição da oferta de emprego

Job Description

The Future Talent Program within our Research & Development Division Data, AI, and Genome Sciences (DAGS) Department is offering internships that last 10-12 weeks. We have 1 open position in the AI/ML Methods & Modeling Group. Candidates can apply for the opportunity to be involved in one or more of the projects listed below. The projects are 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 students with computational skillsets.

Location: Cambridge, MA

Term: Full-time, 12 weeks

AI/ML Methods & Modeling

Develop statistical and computational methods/pipelines to analyze genetic and genomic datasets. Analyze of large-scale human genetic and genomic datasets to facilitate discovery of novel targets and biomarkers of disease risk and progression. Work within an integrated, interdisciplinary team supporting validation efforts, including bioinformatic analysis of bulk and single-cell sequencing.

Required Education and Skills

• Must be currently enrolled in a PhD degree in Computer Science, Statistics, Bioinformatics, Computational Biology, or related technical field.
• Must be available to work full-time for 10-12 weeks beginning in May or June of 2027.
• Excellent software design and development skills and strong proficiency in Python.
• Strong proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow, JAX) and experience implementing scalable solutions for complex tasks.
• Excellent communication skills and ability to work collaboratively in a multi-disciplinary team.
• Interest in life sciences problems and disease biology, and willing to learn from and teach others.

Preferred Skills and Experience

• Experience fine-tuning foundation models on multiple GPUs is a strong plus.
• Experience with biological foundation models (e.g., single-cell foundation models) is a strong plus.
• Experience with biological data (e.g., perturb-seq) is a strong plus.
• Publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR) is a strong plus.

Salary range: The salary range for this role is $39,908 - $111,111 FTP2027 RL2027

US and Puerto Rico Residents Only

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.

San Francisco Residents Only

We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance.

Los Angeles Residents Only

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Search Firm Representatives

Please Read Carefully 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: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Not Applicable Shift: Not Indicated Valid Driving License: No Hazardous Material(s): NA

Job Posting End Date: 11/20/2026

Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.