Senior Data Manager

The Senior Data Manager will work closely with Dr. Caceres, the Principal Investigator, at the School of Nursing on a federally funded project focused on the influence of daily stressors on blood pressure among adults., The primary responsibilities of the Senior Data Manager will include:

• Maintaining database security, storage, management and cleaning;
• Ensuring that high quality data and the integrity of the data are protected;
• Developing and refining REDCap data collection;
• Cleaning and processing self-reported survey, blood pressure monitoring, biomarker, and actigraphy data;
• Upgrading of electronic database systems to meet the needs of the research team;
• Processing data and preparing reports on data completion and enrollment, including presenting data in charts, graphs, and tables;
• Assisting with dissemination including the development of original abstracts and manuscripts;
• Managing the secure transfer of research-related data by developing processes for the efficient, secure transfer of encrypted data and de-identifying data that will be transferred to federal agencies and other research teams;
• Ensuring compliance with all data security requirements by working with Columbia Nursing administrative staff to create processes for monitoring compliance with Data Use Agreements;
• Supporting the team in implementing our Data Management and Sharing Plan;
• Supporting students and trainees in the cleaning and analysis of data for dissemination activities;
• Training and supervising students and other staff in data management;
• Performing other responsibilities as needed and assigned.

• Bachelors degree or equivalent in education & experience, plus 4 years of experience.
• 4 years of experience in data management
• Related experience in technology, information management, relational database management, data mining, or statistics, including programming, managing and maintaining data systems.
• Expertise in a variety of data management software (e.g., Excel, Access, REDCap, SQL, Python,R, STATA & SAS) and data management processes
• Capable of working effectively in research groups

Preferred Qualifications

• Experience in research or healthcare
• Experience conducting research with diverse populations