The Johns Hopkins Biostatistics Center (JHBC) at the Johns Hopkins Bloomberg School of Public Health provides statistical and data management support to researchers at Johns Hopkins as well as clients from outside the University. The ideal candidate will be required to provide programming support and data management support to Center clients under the guidance of the Associate Director of Data Management Services. A major focus of the work will be directed towards the Acute to Chronic Pain Signatures (A2CPS) Project, which is a large-scale study of the transition from acute to chronic pain that will collect data from 3,600 people who have recently had surgery and track them for a 6-month period. In addition to custom programming tasks, the incumbent will provide technical support to end users of the REDCap web application, assist with regular system administration tasks in the REDCap application, and aid in the analysis of electronic health record (EHR) data.
Develop data management solutions using programming/analytical expertise for a multi-center study of chronic pain, to include maintenance, modification and/or development of applications/solutions. Identify potential problems with study data and collaborate with study sites to resolve issues encountered. Attend consortium meetings and provide updates on status of projects. Merge, create and recode variables to prepare data for analyses, including electronic health record (EHR) data. Manage datasets/variables and perform data cleaning. Be responsible for maintaining the integrity and security of data during data processing. Generally works independently, implementing known workflows. Where examples are not readily available in existing code or online, develop and apply new methods with guidance from Associate Director.
Bachelor's degree in a related field required.
One (1) year of related experience is required.
Additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.
JHU Equivalency Formula: Additional related experience may substitute for required education. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
Direct programming experience while pursuing education may count towards related experience.
Significant undergraduate programming coursework or independent project can be considered as related experience.
Bachelor's degree in Information Systems or Computer Science preferred.
2+ years of experience with the REDCap web application in both end-user support and system administration.
Special Knowledge, Skills, and Abilities:
Understanding of data security issues.
Understanding issues related to processing and aggregating EHR data.
Attention to detail and the ability to manage multiple and competing priorities.
Good interpersonal skills in dealing one-on-one with clients.
Must have effective working knowledge of MySQL database.
Prefer candidate with effective working knowledge of Linux operating system and basic server administration tasks.
Prefer candidate with effective working knowledge of at least one statistical package such as Stata, R, SAS, or SPSS.
Ability to independently analyze and resolve complex problems
Ability to balance multiple work assignments/priorities
Ability to express ideas clearly in oral and written communications.
Good interpersonal skills in dealing one-on-one with clients.
Classified title: Programmer Analyst
Working title: Programmer Analyst
Role/Level/Range: ATP 37.5/E/03/PC
Starting Salary Range: $50,700.00 - $69,780.00 (commensurate with experience)
Employee group: Fulltime
Employee Status: Exempt
Schedule: Monday-Friday –8:30am-5:00pm 37.5hrs/Wk – Telecommuting under COVID restrictions.
Location: School of Public Health – Baltimore, MD
Department name: 10001070-Biostatistics
Personnel area (School): BSPH – Bloomberg School of Public Health
The successful candidate(s) for this position will be subject to a pre-employment background check.
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