Job Summary
Reporting to the Principal Investigator, the successful candidate will be required to support the design and development of the study database and data collection tools for the study. S/He will also be involved in study team activities related to data collection, participant ID management, tracking of participant follow-up, management of all data & IT devices, management of user accounts, and supporting IT infrastructure at the recruitment sites. His/her role will involve coordinating data management activities and supervision of data collection teams. S/He will also be the point person in interactions with the AKU ICT team, data teams from other research projects in CoEWCH, and the collaborating institutions. collaboration institutions.
Responsibilities:
Develop and maintain the central and field level (health facility) data handling systems for the study/studies
Ensure synchrony between data related activities and other research and clinical activities at the sites
Train research and clinical staff on data collection principles and practice
Requirements
Oversee data collection activities by all research and clinical staff involved in data collection including research nurses and enumerators
Support the development of specific study Standard Operating Procedures (SOPs) for data collection and handling
Develop, test and apply data quality assessment tools
Contribute to periodic and ad hoc data analysis of study data to support study activities or answer specific research questions
Preparation and compilation of reports for data and study activity as agreed with supervisors
Support maintenance of the LAN at the field sites to support study activities
Implement and enforce regular data security activities such as backups, archiving and user administration
Seamless data sharing between CoEWCH studies (where appropriate)
Support the setup and running of other sub-studies and/or related studies as allocated by the Principal Investigator.
Any other responsibilities as assigned by the PI.
Requirements:
Bachelor’s and/or master’s level education in any of the following or closely related fields: Computer Science, Information Technology, Computer Science, Statistics. Completed or enrolled for a master’s degree in the same field will be an added advantage
Training and/or demonstrable competence in any/most of the following: MS-Access, SQL-Server, MySQL, Oracle, DHIS-2, ODK, and ODK-Tracker, REDcap
Training and/or demonstrable competence in any of the following statistical packages Stata, SPSS, R
At least 2 years of data management experience.
Relevant experience in a health research environment including community and public health facility settings will be an added advantage
Relevant experience in multi-centre / multi-country projects will be an added advantage
Demonstrable programming proficiency in at least 2 of the following: MS-Access, SQL-Server, MySQL, Oracle, DHIS-2, REDCap, ODK
Proficiency with data management procedures: data cleaning, manipulation, summarization, tables, listings, graphics and report generation
Experience in programming and troubleshooting electronic field data capture platforms
Experience in data analysis will be an added advantage
Demonstrated ability to coordinate and supervise large data entry teams
Excellent written and verbal skills in English and Kiswahili
Apply via :
aku.taleo.net
