Merck
2027 Future Talent Program - AI/ML Biomedical Imaging and Computational Pathology - Intern
- Compensation
- Not disclosed
- Location
- USA - Massachusetts - Cambridge (320 Bent Street)
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Nice to have
- Familiarity with one or more of the following: computer vision, natural language processing, representation learning, foundation models, interpretable/explainable AI, and generative AI.
- Current Employees apply HERE
- Current Contingent Workers apply HERE
- 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. Please click here if you need an accommodation during the applicat
- 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,
- 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 breakthroug
- 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 loca
- 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 f
- Employee Status:
- Relocation:
- VISA Sponsorship:
- Travel Requirements:
- Flexible Work Arrangements:
- Shift:
- Valid Driving License:
- Hazardous Material(s):
- Job Posting End Date:
- *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Full description
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)