JOB PURPOSE:
The Clinical Information Network (CIN) is collaboration between KEMRI-Wellcome Trust Research Programme (KWTRP) and partners. CIN if focused on improving collection and use of routine inpatient data to improve quality of care provided to admitted children and neonates and 24 hospitals are currently participating in the network. The data manager is expected to lead and coordinate a team of data managers to develop databases using freely available non-proprietary software; develop scripts for data query resolution and data cleaning; and develop, maintain, and update scripts for reporting of data. Projects within CIN include surveillance and clinical trials. The project requires a highly motivated, proactive individual who can explore and actualise solutions to emerging challenges.
KEY RESPONSIBILITIES:
For the CIN and linked with the KEMRI/WTRP ICT Department (Based in Kilifi) to:
Coordinate roles and monitor progress of Data Management Team and Analytics team – build capacity of team through on-job training as required – provide at least monthly updates to PIs
Provide oversight of HSU team ICT requirements for hardware and software ensuring equipment fit for purpose including server management (Linux and other as required)
Lead implementation of progamme wide data governance / data management strategies – training team members as required – and liaison with Kilifi ICT / Data Management units
Design and develop adaptations to / programming enhancements to REDCap and participate in the REDCap user group and other forums to understand the latest developments
Help develop strategies using R to improve data quality and perform data analysis routines that can be incorporated into routine reports, and clinical trial monitoring.
Develop and update web applications (supervising work of others as appropriate) maintained by HSU
Take the lead in and provide oversight of HSU project and data archive development and access – to include use of DataVerse, Github and other platforms as required and to enable team to deliver ‘Open Access’ to data and tools
Provide support in training of field data collection teams including developing training materials, preparation of hardware / software, training schedules and conducting training.
Liaison with companies / groups who are developing electronic medical records to foster harmonization of key data across EMR platforms
Maintain study databases as required including ensuring regular updates, cleaning, backups and archiving and ensure all related records and reports are handled and managed in line with data governance protocols.
Ensure compliance with programme ICT policies that span data storage, description, security etc across the research team
And any other duties that may be assigned from time to time
QUALIFICATIONS:
Master’s Degree in Mathematics/Statistics or Computer Science
At least 5 years’ experience with 3 years’ experience as a data Manager or Supervisory level in a research or health institution.
Experience in data analysis and programming using R and/or python
Experience managing RDMS such as MySQL including optimization and back-up.
Familiarity with Linux
Experience of developing system documentation
DESIRABLE:
Experience with data management for large multi-centre clinical trials
Experience in managing multisite, distributed data collection and integration
Experience with report development for data quality assessment
Experience with use of R for statistical programming and R Studio
Experience using git for version control
Prior work related to health care and ideally experience of analysing health data and writing research reports
Familiarity with web development frameworks (React, Vue etc) and Docker would be an added advantage.
An interest in developing team management skills
Experience in eHealth and web development
Experience with report writing for data quality
Experience in server management
COMPETENCIES
Experience in using LINUX, MySQL and version control
Experience in using data collection tools preferably REDCap, ODK, openClinica and openMRS
Experience in managing multisite, distributed data collection and integration
Excellent skills in data analysis preferably R, STATA, Python.
Understanding of database design and maintenance, quality control and data cleaning
Well-developed troubleshooting capacity and clarity of thought
Excellent customer support and communication skills
Ability to work independently and collaboratively in a team environment and to multi-task
Ability to interact with users/ office colleagues in simple non-technical language
Good communication and interpersonal skills (verbal and written)
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