Data Science Internship

MSD is hiring for the role of Data Science Intern!

Responsibilities of the Intern:

• 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.  
• Help to solve novel commercial analytic questions through the use of Advanced Analytics (AI/ML).

Requirements:

• Candidates must be currently enrolled in bachelor’s / master’s / PhD degree programs 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 environment 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 the ability to determine the correct method for the task or have the willingness to learn the same.
• Candidates must have demonstrated the 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 quantitative methodology professionals 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.
• 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.