Pennsylvania, United States
06 May 2019
End of advertisement period
06 Jul 2019
Contract Type
Fixed Term
Full Time

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.

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.

The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education.

The Penn CVI is seeking a skilled bioinformatician to join our team to advance the development and implementation of genomic methods. Ideally, the candidate will possess strong data processing skills preferably in the R programing language and fundamentals of data management. The candidate will serve as an integral part of a Penn Cardiovascular Institute (CVI) by developing and implementing software tools, pipelines and workflows for analyzing high-throughput genomics, epigenomics, and transcriptomics data.

Bioinformatician A: Job duties will include, but are not limited to: Perform systematic analysis of array data and next-generation sequencing (NGS) data, including Chip-seq and RNA-seq. The candidate will also analyze human genetic data for research purposes, including identifying novel SNPs/variants and mutations. The candidate will interact with laboratory PIs and members, assist in experiment design, analyze data, and integrate other empirical experimental data in order to advance scientific projects.

Bioinformatician B: Same as above and in addition more detailed job duties include:
Develop, implement and maintain high-quality pipelines for the analysis of large quantities of next-generation sequencing (NGS) data. Develop statistical methods for other biomedical data, and perform analysis and QC measures. Provide reports and tabular/graphic summaries of analyses in a form suitable for inclusion in manuscripts for publication in peer reviewed scientific journals as well as for presentation at scientific meetings. Write scripts to integrate data from multiple resources for data analysis and comparison. Assist in the design, development and maintenance of technical protocols.

Biinformatician A: Bachelor’s Degree and 3 years of experience or an equivalent combination of education and experience is required.
Biinformatician B: Masters Degree and 3 year to 5 years of experience or an equivalent combination of education and experience is required.

  • Experience, in Bioinformatics, Biostatistics, Computer Science, Data Science, Informatics or equivalent.
  • Experience with biomedical research required
  • Competent in Python/Perl and R programming language required
  • Experience with Next Generation Sequencing data analysis
  • Experience with Human Genetic analysis a plus
  • Ability to work independently and apply critical thinking and sound judgment
  • Excellent organizational and time management skills
  • Ability to work with a multi-disciplinary team

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.