University of Pennsylvania DATA SCIENTIST in Philadelphia, Pennsylvania
DATA SCIENTIST 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.
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Reference Number 40-31229
Posted Job Title DATA SCIENTIST
School Name Perelman School of Medicine
Org BE-Informatics Division
Posted to the Web 03/11/2019
Posted Job/Salary Grade E
Employment Type Exempt
Position Type Full Time
Position Schedule 8:30 to 5:30
Position Length Contingent Upon Funding
Position End Date
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. http://www.med.upenn.edu/
The Data Scientist will be responsible for custom algorithm and software design, development, testing, maintenance, application, and documentation of artificial intelligence (AI), machine learning (ML) and visual analytics (VA) for the Computational Genetics Laboratory (epistasis.org). Work with investigators and team members to apply AI, ML, and VA methods and applications to the analysis of biomedical big data.
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.
Quick Link http://jobs.hr.upenn.edu/postings/44268
Posting Supplemental Questions
Required fields are indicated with an asterisk (*).
How did you hear about this employment opportunity?
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
Other Social Media Site
Professional Affiliation/Trade Website
Diversity Association/Publication Website
Heard about it at a conference or career fair
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
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
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