INTERNSHIP DETAILS

Clinical Data Analyst Intern

CompanyMSD
LocationWarsaw
Work ModeOn Site
PostedJune 1, 2026
Internship Information
Core Responsibilities
The intern will perform data analysis, statistics, and predictions to generate insights and support decision-making. They will also develop automation tools and architect data pipelines to improve efficiency and data consumption.
Internship Type
full time
Company Size
39453
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
At MSD, known as Merck & Co., Inc., Rahway, NJ, USA in the United States and Canada, we are unified around our purpose: We use the power of leading-edge science to save and improve lives around the world. For more than 130 years, we have brought hope to humanity through the development of important medicines and vaccines. We aspire to be the premier research-intensive biopharmaceutical company in the world – and today, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. We foster a diverse and inclusive global workforce and operate responsibly every day to enable a safe, sustainable and healthy future for all people and communities. For more information, visit www.msd.com and connect with us on Facebook, Instagram, Twitter, and YouTube.
About the Role

Job Description

Position Title: Clinical Data Analyst Intern

Department: Clinical Data Management (Global Data Operations)

Location: Hybrid, Warsaw

Duration: 6 months

Position overview:

Are you a skilled data analyst fluent in multiple data sources? Do you have a passion for statistics, predictions, and data visualization? If so, we have an exciting opportunity for you to join our Global Data Operations team as a Clinical Data Analyst Intern.

About Us:

We are a leading company in the pharmaceutical industry, and our Global Data Operations team is responsible for preparing, cleaning, and analyzing data related to metrics and key performance indicators. As an intern, you will work under the direction of a

Manager to support the delivery of new solutions and contribute to the team's vision.

Responsibilities:

  • Perform data analysis, including statistics and predictions, to generate insights and support decision-making process.

  • Participate in architecting our data pipeline to handle increasing data volume and make it consumable for other teams, utilizing data visualization techniques.

  • Develop tools to automate processes and replace manual work, enhancing efficiency and productivity.

  • Create tools for data analysis and visualization, enabling the effective communication of complex analyses.

  • Collaborate closely with the Management Team and various Global Teams to understand business needs and propose solutions.

  • Present findings and recommendations to stakeholders in a clear and compelling manner.

Requirements:

  • Pursuing a degree in Data Science or a related field.

  • Intermediate to advanced skills in IT, including SQL, Python, VBA for Excel, Power BI, Power Query, and Git and Advanced MS Office Knowledge

  • Understanding of data visualization frameworks and best practices.

  • Strong analytical abilities, quantitative skills, and attention to detail.

  • Ability to work with multiple data sources and perform data cleaning and wrangling.

  • Excellent organizational and problem-solving skills.

  • Advanced presentation and communication skills, both written and verbal in English.

  • Well-organized, structured, and capable of working independently.

  • Commitment, motivation, creativity, and a willingness to learn new tools and technologies.

  • Ability to collaborate effectively with diverse global teams.

  • Familiarity with machine learning and an interest in AI is a plus.

Additional Requirements:

Please include a link to your programming portfolio (GitHub) in your CV.

If you are ready to gain hands-on experience in clinical data analysis, contribute to innovative solutions, and work with a dynamic team, apply now!

We look forward to receiving your application.

Required Skills:

Adaptability, Adaptability, Business Due Diligence, Business Management, Clinical Data, Clinical Databases, Clinical Data Cleaning, Clinical Data Management, Clinical Informatics, Clinical Medicine, Customer-Focused, Data Analysis, Database Development, Data Processing, Data Quality Assurance, Data Review, Data Validation, Data Visualization, Electronic Data Capture (EDC), Global Team Collaboration, Learning Agility, Machine Learning (ML), Microsoft Power Business Intelligence (BI), Operations Processes, PL/SQL (Programming Language) {+ 1 more}

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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

06/22/2026

*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.

Key Skills
SQLPythonVBA for ExcelPower BIPower QueryGitData VisualizationData CleaningData WranglingStatisticsMachine LearningClinical Data ManagementPL/SQLAnalytical AbilitiesCommunication SkillsProblem-Solving
Categories
Data & AnalyticsHealthcareScience & ResearchTechnologySoftware