Intern, Global Commercial Pharma Pipeline Analytics

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 Companys 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 companys 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 typically3-6 monthslong and have various start dates throughout the year. Most of the projects will involve analyses in support of our companys 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 bachelors / masters / PhD degree programin 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 pharmaceuticaldata and analyticsinitiatives 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 withNatural 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: