SIE & Research Assistant

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SIE & Research Assistant

  • Post Date:March 7, 2023
  • Views 404
0 Applications
  • Career Level Assistant
    Qualification Degree
    Experience 3-5 Years
  • Industry Health Care
Job Description

Reporting to: Data Analytics Manager & the Evidence, Research & Learning Manager
Location: Central Office, Harare
Type of Contract: Fixed Term Contract

Position Summary

Under the Target, Accelarate and Sustain Quality Care (TASQC) for HIV Epidemic Control program, the SIE assistant will work at the central office in the SIE department and will be at the intersection of providing research and data analytics support and process support to the SIE team. The responsibilities will cut across departments and will involve supporting the Central and Field SIE teams in processing SIE related packages at central office, providing data analytics support to both the evidence and research teams and data analytics teams. The individual must be a team player who is able to provide key support to the SIE team.

Key Responsibilities

Data Analytics & Research Support

  • Under the guidance of the Data Analytics Manager, carry out data cleaning, data quality review for data submitted from the TASQC programme as part of SIE reporting;
  • Provide statistical analysis and generate information packages for review by the Data 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 performance dashboards;
  • Review data entry into DHIS2 and provide data quality feedback to the teams;
  • Mine data from the TASQC programme 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;
  • 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.

SIE implementation Processes Support

  • Review SIE payment packages submissions and provide feedback to field teams;
  • Process Central Office SIE Meetings and other activities requests;
  • Follow up with procurement and finance for SIE related packages;
  • Capturing SIE management meetings notes

Person Specification

  • A quantitative bachelor’s degree in mathematics, statistics, M&E AND a completed program in health sciences/public health/HIV programs, OR;
  • A bachelor’s degree in public health, health sciences, operations research AND a completed program in a quantitative area (M&E, biostatistics);
  • A master’s degree in epidemiology, public health, biostatistics, M&E or similar will be an added advantage;
  • Minimum of three years’ experience and demonstrated practical skills in monitoring HIV and AIDS, TB, care and support programs;
  • Knowledge of data collection tools such as EpiData, RedCap, Epi Info, Open Data Kit (ODK), EpiCollect5 and/or CommCare;
  • Demonstrate working knowledge of quantitative data collection systems in the MoHCC, including familiarity with processes of strengthening district level M&E capacity, and data analysis using Advanced Excel, SAS, SPSS, STATA, R, Epi-Info, EpiData, or any other data analysis software;
  • Demonstrate data visualization or data storytelling skills using Microsoft Excel, Power BI, or other relevant software;
  • Experience working with multiple stakeholders and familiarity with PEPFAR indicators and reporting requirements will be an added advantage;
  • Ability to manipulate and analyze large aggregate and patient-level datasets

To apply

  • Step 1: Click Here and Complete the Application Form.
  • Step 2: Submit your cv, application letter and certificates via email to: ophidrecruitments@ophid.co.zw clearly indicating the position you are applying for on the subject of the email.

OPHID and its Consortium partners are an equal opportunity employer and do not discriminate against any employee or job applicant on the basis of race, political affiliation, religion, tribe, national origin, gender, physical or mental disability, health status (including HIV status) or age.

OPHID does not charge a fee at any stage of the recruitment process (application, technical test, oral interviews, processing, training, or any other fees).

While OPHID may from time to time engage external consultants for the facilitation of the recruitment process, only OPHID has the right to offer employment to candidates. No third parties have been authorised to offer employment on behalf of OPHID.

Only shortlisted candidates will be responded to. If you do not receive any communication within a month from the date of closing, consider your application as unsuccessful.

NB: Shortlisted candidates will be asked to provide a portfolio of content previously created, and will go through a content creation technical assessment.

Applications from people living with HIV or those who have been affected by HIV are encouraged.

Deadline: 1600 hours, 13 January 2023.