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 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 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 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 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: 06/1/2025 *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.
