Data Analyst

Brown Medicine•Providence, RI

4d•$48,069 - $79,373•Onsite

About The Position

Under the general supervision of the Clinical Research Supervisor, the Data Analyst manages and analyzes human-subjects data from multiple research projects and grants and provides reports summarizing research data. The position is accountable to the Principal Investigator(s) of assigned research projects and collaborates with research teams to define data needs, support study workflows, and meet research goals and grant requirements. The role includes analyzing system and application requirements, creating and maintaining databases and REDCap or similar data-capture instruments, supporting and training research staff, and overseeing the design, coding, testing, and debugging of multi-user systems. The Data Analyst maintains data quality, confidentiality, and security; develops reproducible SPSS scripts for data cleaning and analysis; prepares datasets and performs preliminary descriptive analyses; and provides status reports, finalized datasets, and archived databases to Principal Investigators. Brown University Health employees are expected to model the organization's values of Compassion, Accountability, Respect, and Excellence. Employees are also expected to demonstrate the core Success Factors: Instill Trust and Value Differences, and Patient and Community Focus and Collaborate.

Requirements

Bachelor's degree in Biostatistics, Statistics, Mathematics, Quantitative Methodology, Computer Science/MIS, Psychology, Public Health, or a closely related field.
Demonstrated knowledge of current computer technology and database management.
Demonstrated ability to apply programming skills to software applications such as R, Mplus, SAS, and SPSS.
Three years of progressively responsible information systems management experience, including programming, system analysis, data storage, documentation, and management.
Experience with human-subjects research, including preparing for and complying with HIPAA and IRB requirements, is emphasized.

Nice To Haves

Information systems management experience in a research or academic environment.
Experience interviewing participants and maintaining study records.
Experience with REDCap or similar data-capture systems.

Responsibilities

Collaborate with the research team to determine project data needs, support study workflows, provide input on timelines, and attend staff meetings to plan and maintain data processes and systems.
Analyze system requirements for grant-specific applications, including project needs, task and contact tracking, randomization, permissions, user preferences, and operating-system requirements.
Create database table structures in accordance with study forms and database normalization principles.
Interview patients to gather study information and prepare and maintain study records in accordance with IRB-approved protocols.
Set up and maintain REDCap or similar data-capture instruments, including user-friendly screens for local and remote data collection.
Provide technical training and user support to research staff and data-entry personnel.
Oversee the design, coding, testing, and debugging of complex, multi-user systems, including systems that may require bilingual capabilities.
Maintain data quality, confidentiality, and security through validation rules and error checking; implement and enforce procedures and permissions that protect data integrity and accuracy.
Implement and monitor data-entry and storage procedures to protect subject and data confidentiality in accordance with Federal, Brown University Health, and Department guidelines.
Maintain and modify production systems, correct programming errors, develop data-audit application systems, and produce reports monitoring data-entry progress.
Enhance data systems based on user feedback and program development to support system operation, data quality, and user productivity.
Develop and maintain reproducible SPSS scripts for data cleaning, processing, and analysis, and correct errors in scripts and data processes.
Prepare datasets for descriptive statistical analysis and perform preliminary analyses, including frequencies, means, and sums.
Run established scoring for standard measures and, with a statistician and/or Principal Investigator, contribute to calculations of non-standardized measures.
Provide ongoing status reports and preliminary analyses at key time points.
Provide access to finalized datasets containing all variables and scoring after data collection and cleaning are complete; provide the Principal Investigator with an archived database and dataset at a predetermined time.
Maintain up-to-date technical knowledge through seminars, academic courses, and professional literature.
Perform other duties as assigned.