Learn and work with us
CP3 offers a variety of opportunities for students and post-docs to gain knowledge and skills in pharmaceutical policy. Add to your professional development by working with our multidisciplinary team of experts in a supportive environment.
For Undergraduate and Graduate students
If you are a student interested pharmaceutical policy, pricing, or prescribing, we offer positions tailored to your individual needs. Whether you want to be involved in a research project over the summer, or you are looking for practice in writing for publication during the school year, we can offer you experience to complement your academic studies. Not sure what you're looking for? Meet with us to discuss available projects. Email us to get started.
For Post-doctoral scholars
We offer meaningful, dynamic opportunities for recent PhD and PharmD graduates. Our faculty are committed, experienced mentors in pharmacoepidemiology, drug pricing analysis, health policy, and health services research. Our postdoctoral fellows have gone on to careers at the University of Florida, Brown University, RTI, and GlaxoSmithKline. Contact us to inquire about available opportunities.
NEW! Research and policy training opportunity in machine learning
CP3 seeks a post-doctoral fellow to join the NIH-funded team using machine learning methods to predict opioid related adverse events. The fellow will assist with the planning and implementation of projects to develop risk prediction algorithms for overdose and substance use disorder. Specifically, the fellow will clean and link large administrative and health care data sets, perform descriptive analyses on the data, apply machine learning techniques on the data sets to develop and refine risk prediction algorithms, and create dynamic data visualizations and dashboards using platforms such as Tableau and R Shiny. The fellow will work with nationally recognized experts in machine learning from Pitt, CMU, and the University of Florida.
The fellow will meet regularly with Center leadership to discuss analyses and results, write manuscripts, present research findings at professional meetings, and develop their own research ideas and consider grant funding opportunities to accelerate their own careers. Prior post-doctoral fellows at CP3 have gone on to multiple academic positions around the country.
Applicants with PhD training in epidemiology, biostatistics, pharmacoepidemiology, or machine learning are preferred; data management and analysis skills are required.
To apply please submit a letter of interest and CV to Courtney Kuza at email@example.com