Job summary
The primary responsibilities for this position include quantitative and qualitative data collection and analysis, and database management, development of quantitative and qualitative experimental designs, and survey/assessment development for testing and evaluation of HIV-NCD integration model feasibility, systemic requirements, cost implications, challenges, acceptability for both patients and health care workers, and proposed solutions for successful implementation and scale -up.
Duties and responsibilities
Develop and maintain data science assets such as SQL and Python data models
Establish protocols for data management and quality assessment, ensuring accuracy, consistency, and reliability of data across systems.
Leverage innovative technologies to automate data processes and improve data quality; Develop automated tools for data cleansing, standardization, and enrichment.
Implement cloud-based solutions to facilitate scalable and flexible data storage and processing.
Provide software as needed to transfer and transform data between platform and data stores such as MySQL, SQL, ODK, among others
Analyse and develop, or recommend, software solutions to support and extend software applications and to meet user and study needs
Develop original code for research and data software solutions; provide feedback to peers through code review and testing
Support in synthesis of data user requirements, document data analysis and reporting needs.
Design, build and continuously improve interactive dashboards to enable program teams track key performance indicators, and generate actionable, data-driven insights to manage program performance.
Support in providing technical assistance and building the capacity project teams on data analytics and visualization. Act as the frontline user technical support for evaluation teams to rapidly troubleshoot and solve issues with their data and dashboards.
Support the development of reports and knowledge products for internal and external dissemination.
Lead on development of technical documentation including SOPs, user guides, training materials and other related documents.
Partner with the evaluation team to plan, implement, and ensure timely completion of research and data science projects
Recommend innovative solutions for data management and ensure project stay updated on emerging trends in data management technologies and methodologies.
Develop metrics to evaluate the effectiveness of data management initiatives and monitor performance indicators to ensure continuous improvement in data management practices.
Provide monthly and quarterly updates to internal stakeholders on project and product development for research and data science projects
Academic qualifications and experience
Master's degree in a relevant field e.g., Computer Science, Data Science, IT or related discipline
Must have three years' working experience with Health management information systems in Kenya.
Two (2) years' experience with cloud computing platforms, machine learning, deep learning and statistics in health programs
Experience handling large databases for modelling and data analysis in health programs
Desired skills, knowledge, and abilities
Ability to create insightful visual representations of data using tools like Tableau or Power BI
Proven practical knowledge and experience with the following programming experience: HTML, CSS, jQuery, SQL, Java, JavaScript frameworks (Node.JS, angular or react etc), Python etc.
Prior experience with application development OpenMRS/KenyaEMR and other open-source systems
Demonstrated expertise in software architecture, object-oriented design, design patterns
Proven ability to write code, program parameters for data integrity, and extract data from relational databases using SQL
Ability to create user, application and technical documentation for developers and end-users
Familiarity with research quality standards and best practices in data collection and data management
Familiarity with ICT for development concepts and applications Effective interpersonal relations skills promoting teamwork and collaborative alliances.