Sr. Research Data Manager - ALIVE Study (Epidemiology)

The Chronicle Of Higher Education, Inc.

Baltimore (MD)

On-site

USD 55,800 - 97,600

Full time

14 days+

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Job summary

The Chronicle Of Higher Education, Inc. in Baltimore seeks a Sr. Research Data Manager to oversee design, implementation, and management of research data for the ALIVE study.

You will lead data collection redesign using REDCap, develop data dictionaries, ensure QA/QC, and coordinate across data and clinical teams in a landmark longitudinal cohort focused on HIV/AIDS, hepatitis C, and substance use.

Qualifications

Bachelor's degree in a related field is required.
Five years of related experience is required.
Education may substitute for experience per policy.

Responsibilities

Design, implement and manage computerized systems for analysis of complex research data.
Create/manage databases; check data; create data dictionaries; merge and recode datasets.
Ensure data quality control and proper database design and implementation.
Write code to collect data and perform statistical analysis; select computing environment.
Analyze large, complex data sets with standard statistical techniques.
Present analyses in various formats; provide progress updates to investigators.
Collaborate with investigators to plan analyses and produce results.
Maintain systems for database management and stay updated on methodologies.
Contribute to statistical plans for grants and manuscripts.

Skills

Data management

Data analysis

Data visualization

Oral & written communication

Programming languages

Research oversight

Statistical methods

Statistical programming

Education

Bachelor's degree in a related field

Master’s degree

Tools

REDCap

Job description

We are seeking a Sr. Research Data Manager who will oversee the design, implementation, and management of research data for an assigned study.

This position will provide oversight over the data collection infrastructure for the AIDS Linked to the IntraVenousExperience (ALIVE) Study, an ongoing community-based observational cohort study of people who inject drugs based in the Baltimore area that has been ongoing without interruption since 1989. In collaboration with study PIs and staff, the Sr. Research Data Manager will play a central role in a comprehensive revamping of the study's data collection approaches and instruments to a flexible modular survey structure through REDCap that will allow for inclusion of new instruments, improve participant tracking capability and enhanced research activities. They will also oversee quality control and quality assurance activities in the cohort and develop codebooks for use by analysts and investigators and coordinate activities across the data and the clinical data collection teams. This position requires persistence, attention to detail, and a self‑motivated individual who can work independently and solve problems. It is an exciting opportunity to play a key role in modernizing a landmark longitudinal cohort study that has been at the forefront of research on HIV/AIDS, hepatitis C, and substance use since 1988.

Specific Duties & Responsibilities

Design, implement and manage computerized systems for analysis of complex research data.
Responsible for database creation and management including data checking and cleaning, creation and maintenance of data dictionaries for datasets, merging data, creating and recoding variables to prepare data for analyses.
Assure quality control of the research data and proper design and implementation of databases.
Write computer codes in a procedural‑oriented computer language to collect data and accomplish statistical analysis; select the appropriate computing environment (PC, minicomputer, or mainframe).
Analyze a variety of large and complex data sets using a variety of standard statistical techniques including regression, longitudinal data analysis, and nonparametric analyses.
Present and summarize analyses in various formats including raw output, tables, and graphics, oral and written reports.
Collaborate with manager and faculty investigators to plan and implement analyses.
Utilize standard and non‑standard biostatistical and database methods for the production of statistical analyses.
Maintain appropriate systems for database‑related management.
Keep abreast of technical and academic resources related to methodology of statistical analysis.
Make suggestions or provide solutions to problems related to data management and statistical analysis.
Participate in writing statistical plans for grants.
Contribute to scientific manuscripts and presentations related to study results.
Create and maintain databases for archiving analytic results and other research information.
Other duties as assigned.

Additional Duties & Responsibilities

Data Collection Redesign & Implementation

Lead the reorganization and restructuring of the study’s data collection framework; oversee the design and implementation of a new flexible, modular survey structure using RedCap; develop database reports to optimize and support data collection and participant tracking.

Survey Development & Management

Design and pilot test new survey instruments; revise existing survey instruments and harmonize with data captured from prior surveys/other similar existing studies; coordinate feedback from various study staff and investigators and organize revisions of survey instruments.

Training & Compliance

Train/retrain interviewers on new and existing protocols; correspond with the IRB and ensure ongoing regulatory compliance; maintain documentation of all procedures and protocol changes.

Collaboration & Communication

Collaborate and communicate with various study staff members, multidisciplinary investigator team, and project administrators; provide regular progress updates on implementation of new systems.

Minimum Qualifications

Bachelor's Degree in a related field.
Five years of related experience.
Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications