Summary
Date Posted: Thursday, May 26, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
Senior MER Specialist

Project Overview and Role:
Funded under the US President's Emergency Plan for AIDS Relief (PEPFAR) through a cooperative agreement with the US Centres for Disease Control and Prevention (CDC), Palladium Development and Consultancy Kenya Ltd (Palladium Kenya) anticipates 5-year funding to support the Kenya Ministry of Health, county governments and healthcare service delivery partners to implement technological innovations in health information systems.
These innovations include the scale up of electronic medical records systems (EMRs) for clinical decision support and improved patient care, the enhancement of the Kenya National Data Warehouse (NDW), a centralized data repository of data from EMRs for analysis and reporting, the development of an interoperability layer to support the exchange of data across systems, the enhancement of mHealth solutions and numerous other innovations including patient identification and informatics solutions to support health surveillance.

Position Summary
The Senior MER Specialist will be responsible for all aspects of project data management including design of data collection/collation tools and data extraction; design and support of project evaluation activities, analyze data and develop data use/information products in line with PEPFAR and MOH priorities. The job holder will be responsible for providing constant feedback to both the technical and program teams including eHealth & mHealth developers and service delivery partners.

Primary Duties and Responsibilities:
• Perform in-depth and advanced statistical analysis using routine individual level data and provide appropriate interpretation for programmatic decisions.
• Prepare regular high-quality presentations of summarized data on priority program areas for stakeholders including MOH, county teams and SDPs.
• Avail datasets/analytic outputs and support relevant stakeholders to make use of individual level data for program improvement.
• Contribute to inferential statistical analysis of individual level data for publications and presentation to various conference and audiences.
• Contribute to program evaluation, in particular, manage the collection and analysis of data at baseline and subsequent stages of program evaluation.
• Work with data analysts to develop sound statistical analysis plans in line with epidemiological principles.
• Extract data from the national data warehouse in line with stakeholder needs and requirements.
• Spearhead implementation of data-driven decision-making during Data & Program Improvement Cluster Meetings and other fora.
• Support data scientists in development and deployment of machine learning approaches to identify populations at risk of adverse programmatic outcomes.
• Support GIS analysts in geospatial analysis to characterize spatial distribution of the epidemic and associated outcomes for program improvement.
• Participate in the development of research protocols and develop guidance for county teams and SDPs on appropriate collection of high-quality data toward monitoring the HIV/AIDS epidemic, including a framework to extract and share de-identified data with relevant stakeholders.
• Participate in data analysis and data use activities, ensuring protocol adherence and scientific standards are maintained, data quality, and publication of study findings.

Required Qualifications:
• Advanced Degree in Biostatistics, Statistics, health informatics, IT, Data Science, Mathematics, Epidemiology, or related field.
• 7+ years experience of analyzing data for HIV/TB prevention, care, and treatment programs in Kenya.
• Strong data analysis skills including knowledge of statistical software such as R or STATA.
• Familiarity with data visualization software such as Tableau and Power BI.
• Working knowledge of data extraction from databases.
• Advanced skills in graphic presentation of data.
• Experience in use of KHIS, EMR and DATIM reporting systems.
• Good interpersonal and communication skills.
• Good technical writing skills and storytelling through numbers.

Work Hours: 8

Experience in Months: 84

Level of Education: Postgraduate Degree

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