Intern The Otsuka Way: Statistician Intern (Data And Analytics): Otsuka Summer 2023 Internship

Job Summary

Otsuka is a dynamic and vibrant organization made up of motivated individuals we call Otsuka-people—people who have a shared mission for creating new products for better health worldwide. We live by our purpose: defy limitation, so that others can too. This purpose gives meaning to our work and motivates and drives us each day. Otsuka’s Internship Program offers meaningful hands on project experiences that impact patient’s lives while providing students an opportunity to grow both personally and professionally. The internship program takes a holistic approach to education, in that students acquire both practical, applicable skills, but also gain additional experience in business and innovation as it relates to the pharmaceutical industry and the student’s area of study. Students will have the opportunity to learn to navigate the complex matrix and team environment at a global pharmaceutical company, gain the fundamental skills and knowledge in the industry and will also engage in valuable, practical job experience through the internship experience.
We have opportunities for you across our business and corporate functions! We’re looking for the best candidates out there who want to make a difference in patients lives. Candidates who are hungry, innovative, and ready to make an impact within the Pharmaceutical Industry. Now is your chance to be apart of the innovation!

The Data & Analytics team uses clinical and real-world data sources, to better understand diseases and the treatments that doctors prescribe for patients. We develop advanced analytics for these datasets to uncover new insights that can inform treatment patterns and highlight the value of new therapies. The intern will perform data science and machine learning tasks, such as classification, clustering, and predictive modeling, on a variety of data types beyond the common clinical and commercial pharmaceutical datasets, including free text, medical images, electronic health records, insurance claims, and speech data. This will be a great opportunity for an aspiring data scientist to get real-world experience with data science projects that will eventually be incorporated into new capabilities for generating medical insights.
By everaging historical and real-world data for late-phase study designs using Bayesian and AI/ML approaches, the intern will explore recent approaches including Bayesian/AI/ML methods for external/synthetic arm and covariates adjustment. The comparative analysis will be applied to multiple therapeutic areas including mental health and renal disease, by utilizing the largely available clinical trial data across phases as well as real-world data. The intern will work on novel statistical methods and strategy on borrowing historical and external data at different levels of availability (e.g., individual patient-level data versus study-level summary). This project will also investigate the known issues in borrowing historical/real-world data, such as between-study variability in placebo/control arms, potential prior-data conflict, and how they can be addressed in an innovative, adaptive way to aid in new study designs for internal trials. A platform based on R shiny with well-documented methods will be provided to enable capability, efficiency and innovation that integrates the novel Bayesian and AI/ML approaches for study design and facilitates robust decision making.

Qualifications

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