Job description

Posting Details

Posting Details

Reference Number 40-31034 Posted Job Title APPLICATION DEVELOPER B School Name Perelman School of Medicine Org BI-Institute for Biomedical Informatics Posted to the Web 02/19/2019 Posted Job/Salary Grade B Employment Type Exempt Hours N/A Position Type Full Time Position Schedule 8:30 to 5:30 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.


Responsible for developing a natural language processing application for identifying patients that meet a cohort definition using a variety of computational methods including artificial intelligence, machine learning, and ontologies for clinical data. The programmer will develop and implement NLP algorithms for encoding clinical variables and classifying patients according to phenotypes. Will work alongside members of the Clinical Research Informatics Core (CIC) as well as potentially collaborate with University of Pennsylvania students and postdocs in the Semantic Analysis of Text to Inform Clinical Action (SemAnTICA) laboratory.


Bachelor’s Degree in Computer Science or related field and 1 year of experience or an equivalent combination of education and experience required. Masters’ Degree in Computer Science or related field preferred.
1 year of computer programming experience required; 3 to 5 preferred
Experience with natural language processing and/or ontologies
Experience with artificial intelligence or machine learning
Experience with deep learning and data science a plus; Experience with clinical data a plus
Experience with several programming languages including Java and Python
Experience with other programming languages – JavaScript and/or Perl – a plus
Experience with Linux, Windows, Mac OS operating systems; Experience with reading/writing XML
Ability to work with a software development team using formal software development methods; work independently and apply critical thinking and sound judgment
Excellent organizational and time management skills
Ability to communicate effectively with team members

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 Quick Link Posting Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * How did you hear about this employment opportunity?
    • [email protected]
    • 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
Applicant Documents Required Documents
  1. Resume
Optional Documents
  1. Cover Letter




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Job No:
Posted: 2/20/2019
Application Due: 6/30/2019
Work Type: