Posting Details

Posting Details

Reference Number 40-27129
Posted Job Title DATA ANALYST SR
School Name Perelman School of Medicine
Org SU-Surgery Administration
Posted to the Web 10/19/2017
Posted Job/Salary Grade E
Employment Type Exempt
Hours N/A
Position Type Full Time
Position Schedule 8:00am-5:00pm
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 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 Sr. Data Analyst will independently design data base systems to fully capture national outcomes data for the Department of Surgery. These systems will be used by Department of Surgery faculty to develop surgical outcomes programs for clinical and research purposes. This individual should have significant, proven experience in the design of complex data systems for the analysis of medical outcomes. Individual will have a main leadership role and will be responsible for the supervision of all statistical research statistical staff. Responsibilities include designing, testing and delivering new system solutions to meet organizational needs; designing web user interfaces for data collection and management; querying databases to create reports and determine the accuracy of data entered; exporting/importing data between different sources; performing statistical analyses and statistical programming using SAS, Stata, and other tools; learning and applying new statistical techniques for existing projects or proposals; supporting the writing of manuscripts for peer reviewed journals communicating with staff for ongoing project management; training users of various database systems; develop and support the school’s websites, applications, and databases. Design and develop innovative solutions to streamline workflows and provide development support for future projects working in collaboration with the PI. Build and maintain strategic, high-level relationships across the School and University to leverage resources and maintain knowledge of new or emerging technologies and solutions.


The minimum of a Bachelor’s degree and 4 years of experience, or an equivalent combination of education and experience, are required. Applicant must have a strong statistical background, and excellent writing skills. An advanced degree in Genetics, Statistical Genetics or a related discipline is preferred. A record of publication in the areas of statistical genetics or genetic epidemiology is desirable; excellent written and verbal communication skills, and the ability to manage multiple projects. Experience in 2nd-generation sequencing analyses and effective utilization of computer clusters would be advantageous. Analysis of multiple omic datasets including single-cell RNAseq would be advantageous but not necessary. Demonstrated knowledge and programming experience in UNIX, R, MySQL, PYTHON and PERL computer experience is required with a clear knowledge of computer applications in the clinical settings. Experience with Excel, Access, Power Point, Microsoft Word, STATA or a similar statistical package and database applications is required. Confidentiality of all HIPAA-related Personal Health Information (PHI) at all times required. Must have a clear understanding that clinical outcomes data is not released without prior approval of the PI or Division Administrator. Knowledge of Institutional Review Board Policies and Procedures preferred. Candidate must be able to exercise initiative and judgment in setting priorities and working independently. Candidate must be a mature, professional, and pleasant team player. Knowledge of medical terminology, computers and various software packages is required. Previous database experience is required. Knowledge of Institutional Review Board Policies and Procedures. Ability to function with minimal oversight in a surgical practice environment. The position contingent upon funding which is currently in place for 3 years.

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
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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
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    • 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

Applicant Documents

Required Documents
  1. Resume
Optional Documents
  1. Cover Letter