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2026 Future Talent Program - Data Science and Scientific Informatics - Intern

EyeBio

EyeBio

People & HR, Data Science
Cambridge, MA, USA · Rahway, NJ, USA
USD 39,600-105,500 / year
Posted on Feb 24, 2026

Job Description

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Global Support Functions Division can provide you with great development and a chance to see if we are the right company for your long-term goals.

We are the Data Science and Scientific Informatics (DSSI) team in our Company's Research Lab IT. We are seeking a motivated undergraduate student to join our team for a 12-week summer internship. This opportunity offers hands-on experience working at the intersection of data science, information technology, and pharmaceutical research. The intern will contribute to impactful projects advancing drug discovery and development by leveraging data analytics, machine learning, and innovative technologies.

Key Responsibilities

  • Assist with data collection, cleaning, preprocessing, and analysis from diverse biomedical and research sources.

  • Contribute to the development, implementation, and validation of data models and analytics pipelines.

  • Work collaboratively with data scientists, IT specialists, and research staff to analyze experimental results and generate actionable insights.

  • Develop visualizations and dashboards to communicate findings to both technical and non-technical stakeholders.

  • Document methods, code, and results following department and industry standards.

  • Participate in team meetings, present work progress, and contribute to brainstorming sessions.

Required Experience and Skills:

  • Currently enrolled as an undergraduate student in Computer Science, Data Science, Statistics, Mathematics, Bioinformatics, Chemistry, Computational Biology, or a related field.

  • Completion of at least sophomore year by the internship start date.

  • Familiarity with Python (preferred), R, or similar programming languages commonly used for data analysis.

  • Basic understanding of statistics, data structures, and data manipulation techniques.

  • Strong analytical skills and a passion for solving scientific problems with data-driven approaches.

  • Excellent verbal and written communication abilities.

  • Ability to work independently and as part of a multidisciplinary team.

Preferred Experience and Skills:

  • Exposure to machine learning concepts or coursework.

  • Interest in pharmaceutical research, biology, or healthcare applications.

  • Experience using version control systems (e.g., Git).

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 $39,600.00-$105,500.00 USD

FTP2026

GSF2026

Required Skills:

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

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:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

03/13/2026

*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.