RESPONSIBILITIES:
Contribute to the development of APHRC's evidence use agenda through utility of data science and/or artificial intelligence tools including data mining, development of data visualization tools, and statistical modelling among others.
Contribute to the application of innovative analytics to systematically extract information from data sets that are too large/complex to be dealt with by traditional approaches.
Contribute to the development of APHRC's evidence use agenda through utility of data science and/or artificial intelligence tools including data mining, development of data visualization tools, and statistical modelling, among others.
Assists in managing projects efficiently and contribute to fundraising efforts through proposal development, securing grants, and building partnerships to support APHRC's research and impact goals.
Be responsible for, and coordinate the processes of tracking, collating, organizing, and making available population health data from diverse sources.
Lead the development of study protocols and tools and ensure ethical approvals and research permits are obtained.
Secure and manage the necessary human, financial and material resources of the project.
Lead the development of project reports.
Oversee data quality and analyses.
Contribute to proposal development and fundraising for research projects in the unit.
Mentor junior researchers and facilitate the Center's training programs as needed.
Represent the Center at high-level national, regional, and international forums, including relevant technical working groups and expert committees.
Contribute to the development of information systems and provision of analytical methodological support and advice to researchers.
Define own area of research interest in data science/statistics/public health through developing proposals, concept notes, and publishing in the area.
Contribute to institutional publications including but not limited to lay dissemination materials such as policy/research briefs and fact sheets; and contribute to policy engagement and the unit's strategic planning.
Qualifications and Experience:
PhD in Statistics, Data Science, Biostatistics, Health Informatics or equivalent in related disciplines with a specialization in R; graduated in the last 2 years.
Data management, programming and modelling experience.
Demonstrated experience in applying big data analytics, preferably in healthcare.
Evidence of publications is an essential requirement.
Highly motivated and committed to biomedical research.
Interest in Epidemiology and preferably chronic diseases including multimorbidity.