Our client is a global healthcare leader, dedicated to improving health and well-being in 140 countries worldwide. Their innovative solutions span across heart and respiratory health, diabetes, infectious diseases, women’s health, and more. Currently, they are offering a paid internship for students enrolled in a bachelor’s, master’s, or PhD degree program in a quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Economics, Computational Biology, Engineering, Management, or other relevant fields.
These internship positions are part of our client's Human Health Digital, Data, and Analytics (HHDDA) division. The program is designed to give soon-to-be graduates the chance to work on applied data science projects, offering valuable hands-on experience. It bridges the gap between academia and industry, providing insight into the company's operations. Successful completion of the program could lead to consideration for a full-time role, depending on demonstrated skills and potential.
The duration of these positions is typically 6 months, commencing in January 2025 and concluding in June 2025. Most of the projects will entail conducting analyses to support our company's commercial goals.
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 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 “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.
What We Offer
- Agreement on working activity (DPČ) - 20 hours/week
- A multinational working environment at a leading pharmaceutical company
- Meal vouchers and a Multisport card
- Ongoing development programs (monthly training sessions, workshops, networking events, and more)
- Flexible working hours
- A friendly and supportive team
- The potential for future career opportunities
If you are interested in this internship, please send us your CV.
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