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Postdoctoral Researcher in Bio/Statistics and Machine Learning

Employer
University of Pennsylvania
Location
University of Pennsylvania - Perelman School of Medicine
View more categoriesView less categories
Employment Type
Full Time
Institution Type
Four-Year Institution

Job Details

Postdoctoral Researcher in Bio/Statistics and Machine Learning

Location:
University of Pennsylvania - Perelman School of Medicine
Open Date:
Sep 18, 2025
Description:
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.


Qualifications:

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.


Application Instructions:

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:

  1. Cover Letter
  2. Curriculum vitae
  3. Research Statement
  4. Contact Information for three references

 

  

 


Equal Employment Opportunity Statement:

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.

Organization

Welcome to the University of Pennsylvania! Penn is the largest private employer in Philadelphia and is a world-renowned leader in education, research, and innovation.  

Across our 12 highly-regarded schools, more than 25,000 students, and more than 4,000 faculty members, we become one university: a wide-ranging, ever-changing community that draws its strength from a multitude of races, ethnicities, genders, sexual orientations, historical traditions, ages, religions, disabilities, veteran status, interests, perspectives, and socioeconomic backgrounds. 

Penn carries on the principles and spirit of its founder, Benjamin Franklin: entrepreneurship, innovation, invention, outreach, and a pragmatic love of knowledge. Franklin's practical outlook has remained a driving force in the university's development. To learn more, visit About Penn. 

Vision

 

As engines of knowledge and new ideas, universities have the unique potential to define the future rather than be defined by it; to pioneer change rather than merely manage it. To do so requires a plan both visionary and pragmatic. The Penn Compact 2022 motivates community members to innovate, be radically inclusive, and positively impact their local, national, and global communities. 

 

Penn’s fundamental priorities — increasing access, integrating knowledge and engaging locally, nationally and globally — are supported by the three core values that make us uniquely Penn: inclusion, innovation, and impact. 

 

Learn about the signature initiatives of the Penn Compact 2022:  

 

Diversity 

 

Understanding and appreciating diversity is one of Penn's most important priorities and is fundamental to success in today's world. 

 

Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. 

 

To learn more about Diversity and Inclusion at Penn visit: 

 

Benefits 

 

Penn offers a wide range of benefits and perks - from Penn's retirement Matching Plan to bike repair stations to access to the full LinkedIn Learning library to adoption assistance to workshops at the letterpress and book arts studio and much more! 

 

Campus and Beyond

 

We invite you to explore our campus and its stately buildings and state-of-the-art facilities. 

 

Try our self-guided tour! Come and visit! 

 

Learn about sustainability at Penn. 

 

News 

 

Stay up-to-date with Penn's response to COVID-19: Coronavirus Information & Resources. 

 

Penn supports news publications that tell the ongoing story of the University community, communications services for external media, telephone and video services, and other media resources: Campus Media 

 

Connect with us!  

 

Instagram: @uofpenn 

Twitter: @Penn 

 

 

Company info
Telephone
(215) 898-7372
Location
3451 Walnut Street
Philadelphia
PA
19104
United States

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