Research Assistant, SIE

About OPHID

The Organization for Public Health Interventions and Development (OPHID) PVO 31/16 develops and implements innovative approaches and strategies to strengthen HIV Care and Treatment services in Zimbabwe, by providing enhanced access for communities to comprehensive HIV prevention, care and treatment. OPHID, works with the Ministry of Health and Childcare (MOHCC) in implementing these interventions. OPHID is looking for suitably qualified and motivated individuals to fill the following post:

Key Responsibilities

Under the guidance of the Data and Program Analytics Manager, carry out data cleaning, data quality review for data submitted from the TASQC, TB-TAP  Triple P, and SANOFI programmes as part of SIE reporting; Provide statistical analysis and generate information packages for review by the Data  and Program Analytics Manager; Review completeness of submissions of community datasets (daily, weekly, and monthly) and advise the team; Clean, transform, and load routine program data into TASQC, TB-TAP, Triple P and SANOFI programme performance dashboards; Review data entry into DHIS2 and provide data quality feedback to the teams; Mine data from the various programme databases and identify trends and patterns to inform programming; Compile the weekly Facility Activity Tracker; Under guidance of the Evidence Research & Learning Manager, support with development of deep dive concept notes, related data collection tools and coordination of field data collection relating to the TASQC, TB-TAP and SANOFI programmes; Assist with data cleaning and prompt feedback to data collection teams in order to ensure accurate, complete and meaningful data is collected for all rapid assessments, deep dives and studies; Assist with conducting of advanced statistical data analysis of patient-level data collected through deep dives such as multivariate regression modelling using software such as Stata, Epi Info or R; Assist with producing data visualizations and summary findings for presentation through PowerPoint and conference abstracts or through poster presentations

Person Specification

Degree in Statistics, Applied Mathematics or other Health-related field. knowledge of data collection tools such as EpiData, RedCap, Epi Info, Open Data Kit (ODK) or EpiCollect5, knowledge of statistical analysis software such as Python, Stata, SPSS, R, EpiData and Epi Info. Proficiency in MS Office suite (Excel, Word, PowerPoint, Outlook).

Deadline: 17.00 Hours, 24 December 2024