Job Description

Intern, Global Commercial Pharma Pipeline Analytics

Our Human Health Digital Data and Analytics team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Internship Program at our company features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects.  These opportunities in our Human Health division can provide you with great development and a chance to see if we are the right company for your long-term goals.

The program allows students to work on one or more data science projects within our Company's Human Health Commercial division.  These opportunities are designed to facilitate the transition from academia to industry for soon-to-be graduates and will involve participation and contribution in real projects being carried out by our company’s data science team. This is also a way for you to identify if our company may be the right company for your long-term career goals.

These positions are typically 3-6 months long and have various start dates throughout the year. Most of the projects will involve analyses in support of our company's commercial objectives.

Candidates will be responsible for providing analytical and technical support, which includes the collection and analysis of internal and external pharmaceutical data to assist in making meaningful business decisions. 

Candidates will help to solve novel commercial analytic questions through use of Advanced Analytics (AI/ML).

Required Education and Skills: 

Candidates must be currently enrolled in bachelor’s / master’s / PhD degree program in a Quantitative discipline such as: Data Science, Statistics, Mathematics, Physics, Economics, Computational Biology, Engineering, Management or other relevant discipline.

Candidates must be expected to graduate in the next 1-2 years. 

Candidates must have fluency in at least one programming environments such as SQL/Python and sound understanding of OOPs

Candidates must have familiarity with the basics of data science and advanced statistical methods (clustering, regression, classification, etc.) and ability to determine the correct method for the task or have the willingness to learn the same

Candidates must have demonstrated ability to problem solve independently on complex analytical projects

Candidates must have an interest in supporting pharmaceutical data and analytics initiatives like segmentation & targeting, digital analytics, big data analytics, patient claims analytics

Candidates will be required to serve as a quantitative methodology professional by developing creative analytical solutions and applying appropriate statistical and/or machine learning methodologies to answer novel commercial analytic questions

Candidates should be effective oral and written communicators

Candidates must be able to strike a balance between methodological rigor and project timelines/deliverables

Preferred Experience and Skills:

Knowledge on MS Office Package - Excel and PPT is must
Candidates having experience with one or more of the standard machine learning and data manipulation packages such as scikit-learn/NumPy/Pandas

Candidates having familiarity with SQL & databases: Redshift/Athena

Candidates having familiarity with Natural Language Processing & Large Language Models

Planned Learning Experience and Skills:

•    To gain experience in healthcare data, insights, and analytics

Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic and/or ophthalmology diseases

Global market exposure

Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

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):

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:

06/18/2025

*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.

Requisition ID:R345715