Preferred: Experience with biological or biomedical data (genomic,
transcriptomic, or clinical); familiarity with SQL or NoSQL databases; experience with data visualization libraries (e.g., Plotly, Dash, Tableau).
Strong communication skills and ability to work collaboratively in an interdisciplinary research environment.
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
Equal Opportunity Statement
Special Requirements
Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
University Benefits
Health, Life, and Flexible Spending Accounts : Penn offers comprehensive
Benefits
Health insurancePaid time offFlexible schedule
Additional Information
University Overview
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. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.
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.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Research Programmer
Job Profile Title
Data Analyst C
Job Description Summary
The Research Programmer will design, develop, and deploy artificial intelligence and machine learning models to advance kidney disease research through the Nephrobase platform. This position involves building and maintaining database
infrastructure and data pipelines, implementing AI/ML algorithms on large-scale multi-omic and clinical datasets, and collaborating closely with wet lab scientists, bioinformaticians, and clinicians in the Susztak Laboratory.
Job Description
Job Responsibilities
Design, develop, and implement machine learning and deep learning models to analyze kidney disease genomic and clinical data in the Nephrobase platform
Build and maintain Nephrobase database infrastructure, including data ingestion pipelines and query APIs
Process and analyze large-scale multi-omic datasets (genomic, transcriptomic, proteomic, clinical) to support kidney disease research
Develop interactive data visualization tools and dashboards to communicate research findings to the broader team
Collaborate with wet lab researchers, bioinformaticians, and clinicians to integrate and interpret diverse data types
Write, document, and maintain clean and reproducible code, data pipelines, and computational workflows
Assist in preparation of figures, data tables, and code for grant reports, presentations, and manuscripts
Implement data quality control, validation workflows, and testing to ensure integrity of research data
Coordinate data sharing and communication with external collaborators under established data governance protocols
Perform additional duties as assigned
CONTINGENT UPON FUNDING