Postdoctoral Researcher in Bio/Statistics and Machine Learning

More Results Postdoctoral Researcher in Bio/Statistics and Machine Learning Employer University of Pennsylvania Location Elkins Park, Pennsylvania, US Salary Competitive Closing date May 17, 2026 View more categories View less categories Sector Academic / Research Field Informatics / GIS Discipline Statistics Job Level Post doctoral fellow Salary Type Salary Employment Type Full time Apply on website Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Send job

Job Details Faculty Mentor:

Qi Long, Ph.D.

Department:

Biostatistics, Epidemiology and Informatics Funding Sources:

Grant Number of Positions:

1 Open to applications from U.S. citizens and foreign nationals. The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

Duties & Responsibilities:

We invite applications for a post-doctoral researcher position in Dr. Qi Long's lab (https://www.med.upenn.edu/long-lab/). The position is open until filled and the initial appointment is for two years with a possible extension for a third year. The position will offer opportunities to conduct research on 1) statistical foundations of large language models (LLMS) under joint supervision of Dr. Weijie Su (https://www.weijie-su.com/), or 2) development and assessment of foundation models and agentic AI for biomedical research and healthcare using multimodal data such as electronic health records (EHRs) data, multi-omics data and imaging data in collaboration with researchers in radiology and computer science. Successful post-doctoral researcher is expected to develop independence in methodological research through activities including, but not limited to, writing peer-reviewed publications for research conferences and journals, giving presentations at research conferences, and assisting in grant proposal development. The University of Pennsylvania is an EOE. Minorities/Women/Individuals with disabilities/Protected Veterans are encouraged to apply.

Salary:

Competitive. Ph.D. degree in statistics, computer science, or related quantitative fields required. Additionally, the following skills are desirable: excellent training in statistics and/or machine learning; excellent programming skills in Python and possibly other programming languages such as C++ and Java; excellent writing and oral communication skills. Review of applications will begin shortly and will continue until the position is filled. Applications should be sent through Interforlio using the link below and include: Cover Letter Curriculum vitae Research Statement Contact Information for three references The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. Share this job Facebook Twitter LinkedIn Apply on website Send job Apply on website Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Get job alerts Create a job alert and receive personalized job recommendations straight to your inbox. Create alert