Job Description:
Dr. Serena Guo is seeking a Postdoctoral Research Associate in the Department of Pharmacy Practice at Purdue University College of Pharmacy (Indianapolis campus). This position is immediately available for a highly motivated, independent, and ambitious candidate. This position offers extensive collaborative research opportunities with the Regenstrief Institute and Indiana University. The successful candidate will work closely with faculty, scientists, clinicians, health professionals, and trainees across institutions to design, coordinate, and implement federally funded population health and outcomes research using real-world data (RWD), including electronic health records (EHRs) and administrative claims data.
This position is ideal for candidates seeking advanced training and leadership opportunities in pharmaceutical evaluations, pharmacoinformatics, and AI-enabled real-world evidence (RWE) generation.
Primary Responsibilities:
The Postdoctoral Research Associate is expected to lead and contribute to independent and collaborative research projects, including but not limited to:
- Designing and implementing pharmaceutical evaluation studies using RWD and/or omics data
- Extracting, cleaning, and processing large-scale EHR, claims and/or omics data for analysis
- Developing and applying advanced data science methods, including statistical modeling and machine learning approaches
- Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
- Leading manuscript preparation and contributing to grant proposals and scientific dissemination
- Collaborating with multidisciplinary stakeholders, including clinicians, data scientists, and translational researchers
Education:
Ph.D. in a related field (e.g., epidemiology, biostatistics, health economics and policy, pharmacogenomics, biomedical informatics, biomedical engineering, computer science, or a related discipline)
Core Qualifications:
- Demonstrated research experience in one or more of the following areas: pharmacoepidemiology; pharmaceutical outcomes research; health economics and policy; microsimulation modeling; pharmacogenomics; health informatics; data science, machine learning, or deep learning; causal inference methods
- Strong written and oral communication skills, with at least one first-author publication in a peer-reviewed journal or conference proceeding
- Proficiency in programming languages such as Python, R, and/or SAS
- Experience working with EHR, administrative claims and/or omics data is highly desirable
- Ability to work effectively with diverse multidisciplinary teams, including clinicians, basic scientists, and translational researchers
Application Materials:
Interested applicants should submit a current curriculum vitae and a cover letter outlining their interest in the position and qualifications.