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April

Scientific Data Specialist, Clinepidb

University of Pennsylvania - Caroline Springs, VIC

IT
Source: uWorkin

JOB DESCRIPTION

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.

Posted Job Title
Scientific Data Specialist, ClinEpiDB
Job Profile Title
Application Developer B

Job Description Summary

The ClinEpiDB.org resource is a large, multi-institutional project supporting the integration and exploration of diverse clinical and epidemiological datasets; this project is affiliated with the VEuPathDB.org Bioinformatics Resource Center, which is responsible for developing and providing scientific data-mining web sites used by tens of thousands of researchers to study infectious disease and public health impact worldwide.

Job Description

Duties: As a Scientific Data Specialist, you will join a dynamic and growing team responsible for ensuring that global epidemiologic datasets are accessible to epidemiologists, biologists, clinicians and policy-makers. The successful applicant will work collaboratively as part of a 40+ member team including epidemiologists, data-loaders, ontologists, user-interface specialists, software developers, and outreach staff to present our global user base with intuitive and informative web interfaces for accessing and interrogating large-scale datasets. This position will focus on processing data received from study investigators according to ClinEpiDB SOPs, including tracking data files received from the data providers, managing day-to-day communications to ensure accurate understanding and interpretation of the studies, working with our ontology team to map variables to ontology terms and set display hierarchies, configuring ClinEpiDB presentation tools to accurately represent the study data, and working with data providers to QC the resulting web sites. Effective communication skills are required, including the ability to coordinate groups from diverse nationalities and cultural backgrounds. An understanding of the challenges posed by large-scale epidemiological data is highly desirable, and required at the senior level. This position may require some international travel, support at workshops, webinars, and meetings, as well as keeping up-to-date with the pertinent scientific literature. Ample opportunity for advancement.

Qualifications

Junior: Bachelor's degree or equivalent in Public Health, Epidemiology, Biostatistics, or related field, with a minimum of 1-3 years of work experience, involving infectious disease epidemiology, maternal and child health epidemiology, and/or biostatistics or equivalent combination of education and experience. Effective data management skills including file management, assessment of data quality and integrity, an understanding of clean data principles and basic univariate measures, and proficiency with data analysis software such as R, SAS, and STATA.

Senior: Bachelor's degree or equivalent in Public Health, Epidemiology, Biostatistics, or related field (Master's degree strongly preferred), with a minimum of 2-4 years of work experience, involving infectious disease epidemiology, maternal and child health, and/or biostatistics or equivalent combination of education and experience. Effective data management skills including file management, assessment of data quality and integrity, an understanding of clean data principles and basic univariate measures, and proficiency with data analysis software such as R, SAS, and STATA.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table