Data Science Manager
- Employer
- University of Pennsylvania
- Location
- Med Sch Richards Building
View more
- Employment Type
- Full Time
- Institution Type
- Four-Year Institution
Job Details
Job location: Med Sch Richards Building
Employment Type: Full-time
Posted data: 2019-10-16
Req: JR00011366
University OverviewThe 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.Posted Job TitleData Science ManagerJob Profile TitleManager Research Project BJob Description SummaryThis position will assist in developing and maintaining various lab data models, including behavioral information, physiological measurements, and other related tools to integrate various types of high-throughput molecular measurements including genomic, transcriptomic, proteomic, metabolomic, and anatomical data, as well as physiological, behavioral, and self-report data. In addition, will analyze the logical and physical database models and ensure models are in accordance with standards while organizing and curating various data in platforms for analysis, while developing tools for modeling scientific data using machine-learning approaches. Must have working knowledge and proficiency with: relational database management systems, such as MySQl, programming languages, such as Python (using any Web application framework), Ruby, PERL, and Unix (bash scripts). Machine- learning methodologies, such as Random Forest, SVM, Logistic regression, nested loop cross validation, discriminant analysis, statistical software, such as R and SAS with statistical methods, including principal component analysis, survival analysis, multivariate, time series trend analysis, ANOVA, RQMS, and sample size power analysis. Preferred candidates will also have experience computing in cluster environments, cloud computing (AWS), sysadmin experience (Lunix), familiarity with GitHub and experience managing junior data scientists.Job Description
- Develop, implement, and maintain various lab data models, including behavioral information, physiological measurements, and other related data. Will provide support for data initiatives to ensure reliability and accuracy of information loaded into databases.
- Direct the specification, design, and implementation of tools that integrate, search, and display data, working closely with different bioinformaticians, behavioral scientists, and hardware engineers. Will analyze the logical and physical database models and ensure models are in accordance with standards.
- Lead in developing tools to integrate various types of high-throughput molecular measurements including genomic, transcriptomic, proteomic, metabolomics, and anatomical data, as well as physiological behavioral and self-report data. Performing analysis and testing of relational databases.
- Organize and curate various data in platforms for analysis, while developing tools for modeling scientific data using machine learning approaches. Investigate any data load failures or data retrieval issues.
- Develop strategies for data acquisitions, archive recovery, and implementation of a database. Working independently yet collaborate effectively with co-workers and manage junior data scientists.
- Other duties and responsibilities as assigned.
Master's Degree with 3-5 years of related experience or equivalent combination of education and experience is required
Working Conditions
Office, library, computer room
Physical Effort
Typically sitting at a desk or table; Occasional lifting 25 lb. or less; Typically standing or walking
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.
Organization
Welcome to the University of Pennsylvania! Penn is the largest private employer in Philadelphia and is a world-renowned leader in education, research, and innovation.
Across our 12 highly-regarded schools, more than 25,000 students, and more than 4,000 faculty members, we become one university: a wide-ranging, ever-changing community that draws its strength from a multitude of races, ethnicities, genders, sexual orientations, historical traditions, ages, religions, disabilities, veteran status, interests, perspectives, and socioeconomic backgrounds.
Penn carries on the principles and spirit of its founder, Benjamin Franklin: entrepreneurship, innovation, invention, outreach, and a pragmatic love of knowledge. Franklin's practical outlook has remained a driving force in the university's development. To learn more, visit About Penn.
Vision
As engines of knowledge and new ideas, universities have the unique potential to define the future rather than be defined by it; to pioneer change rather than merely manage it. To do so requires a plan both visionary and pragmatic. The Penn Compact 2022 motivates community members to innovate, be radically inclusive, and positively impact their local, national, and global communities.
Penn’s fundamental priorities — increasing access, integrating knowledge and engaging locally, nationally and globally — are supported by the three core values that make us uniquely Penn: inclusion, innovation, and impact.
Learn about the signature initiatives of the Penn Compact 2022:
- Global Connections President’s Engagement Prizes President's Innovation Prize Penn Integrates Knowledge University Professors
Diversity
Understanding and appreciating diversity is one of Penn's most important priorities and is fundamental to success in today's world.
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.
To learn more about Diversity and Inclusion at Penn visit:
- Diversity at Penn Resources Supporting Diversity Penn Diversity Facts and Figures Penn's Diversity Timeline 1740-1997
Benefits
Penn offers a wide range of benefits and perks - from Penn's retirement Matching Plan to bike repair stations to access to the full LinkedIn Learning library to adoption assistance to workshops at the letterpress and book arts studio and much more!
- Penn HR Benefits Be in the Know Wellness Campaign Penn Home Ownership Services Campus Shuttles & Buses Resources for Cyclists Deals@Penn Common Press
Campus and Beyond
We invite you to explore our campus and its stately buildings and state-of-the-art facilities.
- Penn Park Morris Arboretum Penn Campus Arboretum: 6,800 Campus Trees Penn Recreation Penn Libraries Shop Penn
Try our self-guided tour! Come and visit!
Learn about sustainability at Penn.
News
Stay up-to-date with Penn's response to COVID-19: Coronavirus Information & Resources.
Penn supports news publications that tell the ongoing story of the University community, communications services for external media, telephone and video services, and other media resources: Campus Media
Connect with us!
- Telephone
- (215) 898-7372
- Location
-
3451 Walnut Street
Philadelphia
PA
19104
US
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