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

Merck; Cambridge (MA); Hybrid; USD 40,000 - 111,000; Full time

Job summary

Merck is seeking an AI/ML Data Science intern in Cambridge, MA for a 10-12 week full-time program starting May or June 2027. The role focuses on developing statistical methods and pipelines to analyze perturb-seq datasets and to interpret in silico perturbation predictions from single-cell foundation models.

You will collaborate with a multi-disciplinary team, deliver robust Python-based software, and contribute to advancing biological data science projects within a hybrid work environment.

Qualifications

• 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.
• Demonstrated experience with single-cell omics data (e.g., scRNA-seq, perturb-seq).
• Excellent software design and development skills and strong proficiency in Python.
• Excellent communication skills and ability to work collaboratively in a multi-disciplinary team.

Responsibilities

• Develop statistical and computational methods/pipelines to utilize, analyze, interpret, and validate perturb-seq datasets.
• Develop approaches to assess, interpret, and validate in silico perturbation predictions from single-cell foundation models.

Skills

Python proficiency

single-cell omics data experience

communication and collaboration

software design and development

Education

PhD in Computer Science, Statistics, Bioinformatics, Computational Biology, or related field

Tools

PyTorch

Job description

Job Description

AI/ML Data Science:

• Develop statistical and computational methods/pipelines to utilize, analyze, interpret, and validate perturb-seq datasets.
• Develop approaches to assess, interpret, and validate in silico perturbation predictions from single-cell foundation models.

Location:

Cambridge, MA

Term:

Full-time, 10-12 weeks

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.
• Demonstrated experience with single-cell omics data (e.g., scRNA-seq, perturb-seq).
• Excellent software design and development skills and strong proficiency in Python.
• Excellent communication skills and ability to work collaboratively in a multi-disciplinary team.

Preferred Skills and Experience:

• Motivated to impact biological projects with independent project leadership experience.
• Experience with biological foundation models (e.g., single-cell foundation models).
• Experience with advanced statistics and/or Bayesian methods.
• Proficiency in modern ML frameworks (e.g., PyTorch) and experience implementing scalable solutions for complex tasks.
• Publications in journals or conferences.

Salary range:

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

Employee Status:

• Intern/Co-op (Fixed Term)

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

NA

US and Puerto Rico Residents Only:

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