We are seeking a highly skilled and motivated Research Data Manager to support our NIHR- funded project focused on preventing childhood blindness through innovative health system interventions. The successful candidate will play a pivotal role in managing, coordinating, and ensuring the integrity of research data across five studies or work packages.

Main Responsibilities

Overview

• Develop and implement comprehensive data management strategies for all five work packages
• Design and maintain robust data collection, storage, and management systems
• Ensure data quality, consistency, and compliance with NIHR and institutional research standards
•  Develop and maintain detailed data documentation
• Manage data security, confidentiality, and ethical considerations

Specific Roles

• Create and maintain electronic databases and ensure data is handled appropriately. 
• Receiving data queries and working with stakeholders to respond and clarify this over a defined period. 
• Perform regular, systematic checks to validate and verify information on the databases in order to produce a clean, accurate and complete set for analysis.
• Transcribe and export data where needed and in line with the study protocols
• Regularly assess data collection standards to ensure it is conducted according to specific research protocols.
• Make regular judgements as to whether data is accurate and complete, and take appropriate action when incomplete data is identified
• Draft SOPs and guidance documents to direct team practice
• Liaise with study leads for specific study protocols and procedures, creating databases for identification, tracking, recording and reporting of clinical trial data
• Assist research team to ensure protocols are followed.

Specific Work Package Support

1. Study 1 Health System Readiness

• Coordinate data collection tools for assessing primary level eye health service readiness
• Integrate data collection tools into electronic data collection systems
• Input and support data collection and data analysis

2. Study 2 Cluster Randomized Trial

• Integrate field data into electronic data capture systems
• Manage trial data integrity and cleaning processes
• Support statistical analysis preparation

3. Study 3 Process Evaluation

• Support data collection frameworks and qualitative and quantitative data collection instruments

4. Study 4 Cost and Cost-Effectiveness Analysis

• Support economic data collection and management
• Develop standardized cost capture mechanisms
• Assist in preparing economic analysis datasets

5. Study 5 Policy Analysis

• Assist in synthesizing policy-related research data

Reporting and Collaboration

• Prepare weekly and monthly data management reports as appropriate for project leadership
• Collaborate with interdisciplinary research team members
• Support grant reporting requirements
• Contribute to manuscript and research output preparation
• Participate in project meetings and research dissemination activities

Qualifications

Required

• Higher education in quantitative based Health, Epidemiology, Biostatistics, or related field
• Minimum 2 years of experience in research data management
• Experience with electronic data capture systems
• Strong understanding of research data management principles
• Excellent attention to detail and organizational skills

Preferred

• Advanced training in health research methodology
• Previous knowledge or experience in global health or child health research
• Experience with mixed-methods research designs
• Familiarity with NIHR research protocols

Technical Skills

Proficiency in:

• REDCap and other databases
• Microsoft Office Suite
• Data visualization tools
• Understanding of data privacy regulations
• Experience with qualitative data analysis software

Personal Attributes

• Excellent communication skills
• Ability to work in a multicultural, interdisciplinary environment
• Strong problem-solving capabilities
• Commitment to research integrity and ethical conduct

Additional Information:

• Position Type: Part-time/ full time negotiable, Fixed-term contract aligned with project duration
•  Location: NNJS
• Start Date: as soon as possible/negotiable
• Salary Range: Commensurate with experience, in line with institutional research scales

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