Job Description

Intern - Data Science

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\xe2\x80\x99s 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\xe2\x80\x99s / master\xe2\x80\x99s / 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 Python/R and sound understanding of OOP
• 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:

• Candidates having experience with one or more of the standard machine learning and data manipulation packages such as scikit-learn/numpy/pandas/mlr
• Candidates having familiarity with SQL & databases: Redshift/Athena
• Candidates having familiarity with Natural Language Processing & Large Language Models

Our Human Health Division maintains a \xe2\x80\x9cpatient first, profits later\xe2\x80\x9d 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.

Who we are \xe2\x80\xa6

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world\'s most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for \xe2\x80\xa6

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us\xe2\x80\x94and start making your impact today.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another\xe2\x80\x99s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

Current Employees apply

Current Contingent Workers apply

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:

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationships

Preferred Skills: Actuarial Science, Big Data, Computational Biology, Computer Science, Creativity, Customer Marketing, Data Collections, Data Engineering, Data Manipulation, Data Research, Data Science, Digital Analytics, Empathy, Initiative Activity, Marketing, Marketing Management, Marketing Operations, Performance Analytics, Problem Solving, Project Delivery, Pure Data, Sales, Sales Management, Technical Communication, Technical Support

Merck Sharp & Dohme