Research Assistant (Data & IT), Centre of Excellence in Women and Child Health, Kilifi at Aga Khan University (AKU)

Job Summary

The successful candidate is required to support the Data Manager with activities related to screening and recruitment of participants, data collection, data cleaning and follow-up of participants for the Inclusive Artificial Intelligence for Accessible Medical Imaging Across Resource-Limited Settings (AIMIX) research project. This project aims at to develop artificial intelligence aided pregnancy screening using low-cost fetal ultrasound. The successful candidate will support the Data Manager in the development and maintenance of study tools for data collection.

This position is based in Kilifi.

Responsibilities

• Prepare and maintain data collection devices e.g. computers and bar code readers
• Install and update applications and software as required
• Maintain and troubleshoot network related issues at the site
• Provide IT support and attend to end-users’ requests and problems
• Offer support to users in backing up and restoring files
• Initiate procurement of urgent and regular day to day needs of IT equipment
• Maintain an updated inventory of all ICT equipment
• Support the Data Manager in training research and clinical staff on data collection
• Data extraction from hospital databases
• Support the Data Manager in generation of reports
• Any other responsibility as assigned by the Data Manager

Requirements

• Must have at least a Diploma in IT or related field
• Have additional training or demonstrable competence in ODK, ODKx, REDcap, MS-Access,SQL-Server, MySQL, Oracle or DHIS-2
• Experiece in data collection and data handling for research studies or programs is key to this role
• Relevant experience in a health research environment including community and public health facility settings
• Experience in programming and troubleshooting electronic field data capture platforms will be an added advantage
• Ability to work independently with minimum supervision
• Have excellent Attention-toDetail skills