Future Talent Program Intern - AI/ML Biomedical Imaging and Computational Pathology

Merck

Cambridge (MA)

Hybrid

USD 40,000 - 111,000

Part time

13 days ago

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Benefits offered by this job

Hybrid work arrangement

Job summary

New Grad offers an AI/ML internship in Biomedical Imaging and Computational Pathology within the DAGS department. The 9–12 week program starts in May or June 2027 and targets PhD students with strong Python and PyTorch skills, plus clear communication for cross-disciplinary collaboration.

The role focuses on developing foundation-model AI methods, integrating imaging features with clinical data, and working with a multidisciplinary team to advance biomarkers and hypotheses.

Qualifications

  • Must be enrolled in a PhD program in the listed fields.
  • Available for 9–12 weeks starting May/June 2027.
  • Proficiency with Python and PyTorch.
  • Strong communication and interpersonal skills; collaborative work style.

Responsibilities

  • Develop foundation model–based AI methods for histopathology images and spatial omics.
  • Design interpretable models using morphology and tumor microenvironment features.
  • Integrate image-derived features with patient outcomes and molecular data.
  • Collaborate with data science, computational pathology, biology and translational research teams.

Skills

Python programming
PyTorch
Communication
Team collaboration
Biomedical data

Education

PhD in Computer Science/AI/ML/Computational biology/Bioinformatics/Biomedical Engineering/Statistics

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 an open position in the AI/ML imaging group. Candidates can apply for the opportunity to be involved in the project described below. The project is 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 skillsets.

AI/ML – Biomedical Imaging and Computational Pathology

Within DAGS, our AI/ML team develops cutting-edge AI methods to accelerate drug target and biomarker discovery. The intern will contribute to our efforts in developing next-generation computational approaches for biomedical imaging and computational pathology.

Specific responsibilities include:

  • Develop and apply foundation model-based AI methods to extract biologically meaningful and generalizable representations from histopathology images and spatial omics.
  • Design interpretable computational approaches to characterize model representations using biologically grounded features, such as morphological patterns and tumor microenvironment architecture.
  • Integrate image-derived features with patient outcome and molecular data to support biological hypothesis generation and biomarker discovery.
  • Collaborate with a multidisciplinary team spanning data science, computational pathology, biology, and translational research.
Required Education and Skills:
  • Must be currently enrolled in a PhD program in Computer science, AI/ML, Computational biology, Biomedical Engineering, Bioinformatics, Statistics or a related field of study.
  • Must be available to work full-time for 9-12 weeks beginning in May or June of 2027.
  • Proficiency with Python programming and modern deep learning frameworks (e.g., PyTorch)
  • Strong communication and interpersonal skills and must be able to work well in a collaborative team environment.
Preferred Skills and Experience:
  • Familiarity with one or more of the following: computer vision, natural language processing, representation learning, foundation models, interpretable/explainable AI, and generative AI.
  • Experience with biomedical or scientific data types (e.g., medical imaging, genomics, spatial omics, clinical datasets).
  • Track record of scientific communication (publications, conference presentations)

Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.

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

FTP2027 RL2027

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. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

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

Employee Status: Intern/Co-op (Fixed Term) Relocation: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): NA Job Posting End Date: 11/27/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date.

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