Computational Scientist

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.

Job Description Summary

We are seeking a highly motivated, creative and skilled Computational Scientist to join our collaborative research team in the Division of Rheumatology at the University of Pennsylvania. This position will support a variety of high-impact projects in the Rhee and Apostolidis labs focused on understanding the mechanisms of autoimmune diseases, such as vasculitis, lupus and autoimmunity after cancer immunotherapy. The successful candidate will contribute to the analysis and integration of cutting-edge sequencing techniques (short-read, long-read, and single-cell), cytometry, and imaging datasets from well-characterized longitudinal patient cohorts. You will work closely with clinician-scientists, bench researchers, and experienced bioinformaticians in a highly collaborative environment. If you are excited about making a difference in the field of autoimmunity and rheumatology through data-driven discovery, we encourage you to apply!

Job Responsibilities

• Perform computational analyses of multi-omics data including short-read, long-read, and single-cell sequencing, as well as flow and mass cytometry.
• Manage and curate clinical, genomic, and imaging data from longitudinal patient cohorts.
• Develop workflows and visualizations to support ongoing translational research, grant proposals, and publications.
• Assist in harmonization and integration of data from multiple platforms.

Qualifications

Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required.

Preferred:

• Experience working with high-dimensional biomedical datasets. Proficiency in R, Python, and command-line operations. Familiarity with version control and high-performance computing environments. Great communication skills and enthusiasm for collaborative research.
• Experience with flow/mass cytometry analysis, single-cell and/or long-read sequencing workflows, and clinical data integration is preferred.

Job Location - City, State: Philadelphia, Pennsylvania

Department / School: Perelman School of Medicine

Pay Range: $61,000.00 - $73,581.00 Annual Rate

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.