Data Scientist

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. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America’s Best Employers By State in 2021.

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.

COVID-19 vaccination is a requirement for all positions at the University of Pennsylvania. New hires are expected to be fully vaccinated before beginning work at the University. For more information about Penn’s vaccine requirements, visit the

Penn COVID-19 Response website

for the latest information.

Posted Job Title

Data Scientist

Job Profile Title

Data Analyst D

Job Description Summary

Performs data analysis and assists with design of complex data models based upon business or research requirements. Identifies and resolves required information flows and content issues, and transforms requirements into data designs and models.

May perform analyses, development and evaluation on large databases and large complex consultation. Provides data analysis expertise to one or more project or support teams. Develops data standards, policies and procedures. Often works with vendor delivered solutions. May plan, organize and manage projects and associated schedules and budgets. May supervise other IT staff and manage projects.

**Job Description**:
**Responsibilities**:

- Work closely with clinicians and administrators to identify and answer important healthcare questions with appropriate statistical techniques on available data.
- Lead large data acquisition, data mining, and analysis techniques to time series, NLP, imaging, structured clinical data and social media websites.
- Create and manage protocols for the analysis of passively collected information
- Responsible for the design and execution of research and development projects utilizing advanced computational techniques to generate novel medical insights and to build clinical decision support systems.
- Communicate findings to clinicians and administrators
- Drive the collection of new data and the refinement of existing data sources
- Work closely with a team of developers and researchers to conduct scholarly work at the intersection of social media and health
- Design and create the necessary algorithms to facilitate research, including either: (a) text and data analysis code or (b) web and mobile app code for acquiring data and disseminating results.
- Implement algorithms (write code) to facilitate research or disseminate results in either Python, Java, Matlab, Javascript, or C++.
- Examine and maintain data in MySQL and NoSQL style databases.
- Perform technical literature reviews, including identifying relevant papers in computer science and writing accessible summaries for the team.

QUALIFICATIONS:
_(Qualifications should clearly indicate those that are required and those that are preferred.)_
- B.A. in a relevant technical field (e.g. statistics, mathematics, physics, computer science) or an equivalent combination of education and experience required.. M.S. degree preferred.
- At least 3 years of experience required in a relevant role and at least 2 years of experience solving analytical problems using quantitative approaches required
- Fluency with statistical and machine learning techniques such as decision trees, neural networks, graphical models, clustering, dimension reduction, and deep generative models required.
- Experience manipulating and analyzing complex, large volume, high-dimensionality data from varying sources required
- Fluency in coding in C++, Java, or Python required
- Fluency in MySql, NoSql design, deployment and analyze on many TB’s of data preferred
- Experience not required but preferred in: Hadoop/MapReduce, text-mining, natural language processing, machine learning, apps
- A strong passion for empirical research and for answerin