Post-doctoral Research Scientist (Madiva) at African Population And Health Research Center (APHRC)

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.