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Posting Details

Posting Details

Reference Number 40-25355
School Name Perelman School of Medicine
Org CI-Center for Cellular Immunotherapy
Posted to the Web 01/02/2018
Posted Job/Salary Grade 028
Employment Type Exempt
Hours 40.00
Position Type Full Time
Position Schedule 8-5pm
Months 12
Position Length Contingent Upon Funding
Position End Date
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.

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.

School/Center Overview

The University of Pennsylvania’s Product Development & Correlative Sciences laboratory ( at Dr. Carl June’s Center for Cellular Immunotherapies ( is seeking a talented, experienced, and highly motivated bioinformatician/data scientist with a keen interest in translational immunology and a track record in deriving biological insight into response to therapies from clinical and correlative analyses. As a member of the correlative sciences community at CCI this position will collaborate very closely with data scientists and clinicians in PDCS and across CCI, and at UPenn, and domestic and international collaborators, aimed at expanding our world-class analytical pipeline in support of ever-improving patient outcomes and scale-out of therapies pioneered at UPenn.
Our group supports clinical trials evaluating novel gene therapies (see as an example) with cutting-edge cellular, biochemical, and molecular analytics, including RNA-seq and ATAC-seq in bulk populations and single cells, and high dimensional flow and mass cytometry and targeted proteomics. This, together with clinical response evaluations and laboratory data, creates unique data sets for the exploration of the spatiotemporal dynamics of the biomarkers and create network models to understand the biology of our therapy and develop predictive models of therapy potency and toxicity (e.g. PMID 27076371, 26333935). This position requires a self-motivated individual with strong interpersonal skills, who thrives in a team and matrix organization. There is a strong focus on the implementation of analytics pipelines for high dimensional data sets derived from comprehensive, multi-layered data sets to understand and predict response to our targeted therapy.


The minimum qualification of a Master’s degree in bioinformatics, biostatistics, computer science, data science, informatics, or equivalent and at least 3 years of data analysis experience or an equivalent combination of experience and education are required. PhD is a plus. The candidate is expected to be an expert in next-generation sequencing and multidimensional data analysis platforms and methods, including flow cytometry data sets, and the ability to integrate large data sets. This individual will also be responsible for the generation of associated analysis tools and workflows. These tasks require knowledge in scripting/programming and common standard tools and algorithms. In addition, the candidate should have a sound knowledge of statistical methods and machine learning as well as fluent programming skills in R/Bioconductor. Experience with Linux or UNIX-like operating systems is preferred. A candidate with a good working knowledge of immunology and biomarker research is preferred. The candidate must exhibit a strong verbal and written communication skills and work well in a team environment. Furthermore, the candidate is expected to be able to effectively translate and communicate results.

Affirmative Action Statement

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.

Special Requirements Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
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Posting Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * How did you hear about this employment opportunity?
    • Jobs@Penn
    • Contacted by a Penn Recruiter
    • Referred by a Penn Employee
    • Referred by a friend or family member
    • Higher Education Recruitment Consortium (HERC)
    • Inside Higher Ed
    • Other Internet Advertisement
    • Linkedin
    • Twitter
    • Other Social Media Site
    • Professional Affiliation/Trade Website
    • Diversity Association/Publication Website
    • Heard about it at a conference or career fair
    • Apple One
    • Recruitment and/or staffing agency
  2. * What is your highest level of education completed?
    • Less than high school education
    • High School Diploma or GED
    • Vocational or Technical School
    • Associate's Degree or Two Year College
    • Bachelor's Degree
    • Master's Degree
    • PHD/MD/JD or equivalent doctoral degree
  3. * How many years of experience do you have related to this position?
    • 0 to 1 Year
    • 1 to 2 Years
    • 2 to 3 Years
    • 3 to 5 Years
    • 5 to 7 Years
    • 7 to 10 Years
    • Over 10 Years
  4. * Are you an expert in next-generation sequencing and multidimensional data analysis platforms and methods?
    • Yes
    • No
  5. * Do you have knowledge in scripting/programming and common standard tools and algorithms?
    • Yes
    • No
  6. * Do you have a sound knowledge of statistical methods and machine learning as well as fluent programming skills in R/Bioconductor?
    • Yes
    • No
  7. * Do you have experience with Linux or UNIX-like operating systems?
    • Yes
    • No
  8. * Do you have a good working knowledge of immunology and biomarker research?
    • Yes
    • No

Applicant Documents

Required Documents
  1. Resume
Optional Documents
  1. Cover Letter