University of Pennsylvania RESEARCH INVESTIGATOR SR in Philadelphia, Pennsylvania

RESEARCH INVESTIGATOR SR Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply for this Job link/button.

If you would like to bookmark this position for later review, click on the Bookmark link. If you would like to print a copy of this position for your records, click on the Print Preview link.

Bookmark this Posting | Print Preview | Apply for this Job

Posting Details

Posting Details

Reference Number 40-29390


School Name Perelman School of Medicine

Org RA-Radiology

Posted to the Web 08/03/2018

Posted Job/Salary Grade RES

Employment Type Exempt

Hours N/A

Position Type Full Time

Position Schedule 8-5

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.


Conduct fundamental research in advanced and currently rapidly evolving areas such as image analysis, analytics, machine leaming, computer vision, and deep learning as related to goals of the section and help with raising research funds and preparing grant proposals submitted by the section. This includes developing new concepts, algorithms, methods, and tools to address image analysis problems encountered in various medical applications such as cancer, orthopedics, radiation treatment, and surgery. Help junior members of the section at the master’s, PhD, and post-doctoral level with scientific guidance and instructions on their assigned projects in translating larger goals into implementations. Direct assembling scientific resources developed by the group including software, data sets, etc. and manage their maintenance.


Required Qualifications: A PhD in Computer Science/ Electrical Engineering/ Bio-Medical Engineering/ Medical Physics with 5-7 years of experience in advanced medical image processing and analysis techniques including image segmentation, registration, and machine learning (particularly deep learning strategies); demonstrated ability to formulate conceptual solutions and their implementation to translate a given medical imaging application problem into an executable method of solution; 5-7 years of experience with software development (C, C++, Python, Linux, Windows, MATLAB, ShellScript); familiarity with TensorFlow tools for deep learning; familiarity with basic image processing operations such as interpolation, filtering, etc.; experience in statistical analysis of results.Preferred Qualifications: Familiarity with medical imaging principles underlying CT, MRI, dynamic MRI, and PET/CT; familiarity with 3D visualization principles; understanding of model-based strategies for medical image analysis, particularly those related to Automatic Anatomy Recognition techniques; experience with diverse medical imaging applications such as cancer, pediatric orthopedics, and obesity; familiarity with the use of and progrannning in the image analysis and visualization software CAVASS.

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 (*).

  • 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

  • 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

  • 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

  • Resume

Optional Documents

  • Cover Letter