Statistician (Climate Change and Health)
1 month ago
The successful candidate will lead the analysis of climate and health data, ensuring accuracy in study designs and assisting with interpreting results for manuscripts, presentations, and other materials to support evidence-based decision-making.
This role involves leading research groups across Africa, as well as collaborating with universities in the EU and UK. The projects, which are among the largest climate change and health projects in Africa, will provide the evidence needed to mount a response to climate change in Africa.
The team will document the health effects of climate change on pregnant women and children across Africa, as well as the effectiveness of interventions to reduce these impacts. The scope of work is currently expanding.
Key Performance Areas- Develop data analysis plans for grant proposals and study protocols.
- Oversee data management staff.
- Provide support for the project team in planning, implementation, and monitoring of project activities, including tracking tools.
- Collaborate with the Scientific Lead and project team to oversee the preparation of data for analysis of health outcomes and environmental exposures across Africa.
- Write progress reports of data analysis for stakeholders, including networks and funders.
- Participate in data science analyses with other partners and external stakeholders.
- Assist with coordinating inputs of partners on data analysis plans in grant applications.
- Stay up-to-date with relevant data analysis advances and collaborate closely with other investigators on related studies.
- Publish scientific publications.
- Compile conference presentations.
- Supervise PhD students, where relevant.
- Generate ideas for data analyses and novel approaches to investigating the data.
- Offer thought leadership on policy implications and future research needs based on emergent research findings.
- Participate in discussions regarding the future direction of the research within Climate Change and Health at Wits RHI.
- Provide thought leadership on how to best structure research activities in the team and amongst partners.
- Supervise and manage the data and statistical analysis team to ensure optimal employee engagement.
- Identify, supervise, and provide clear direction to consultants supporting the analysis activities.
- Perform and facilitate coaching sessions with the team to develop their skills in statistical analysis.
- Coach and train team members to ensure the acquisition of knowledge and skills required by the organisation.
- Promote harmony, teamwork, and sharing of information.
- Take ownership and accountability for tasks and demonstrate effective self-management.
- Develop additional Data Science Skills required to undertake analyses.
- Develop further project management skills to coordinate statistical analysis in a team.
- Maintain an open attitude and respond constructively to feedback.
- Maintain and update knowledge of developments in the field and expertise activities.
- PhD in Biostatistics or Data Science.
- Good writing and data visualization skills.
- Experience in time series analysis advantageous.
- Ability and experience working in multi-disciplinary teams.
- Strong STATA, R, or Python programming skills.
- Experience with coordination of data management teams.
- Experience in managing sensitive data (e.g. according to the POPI Act).
- Previous experience in statistical analysis of large health projects would be of added value.
- Experience working with large and complex datasets (e.g., remote sensing, health data, climate model data).
- Able to work under pressure and adhere to deadlines.
- National and international travel and overtime/weekends may be required from time to time.
- Self-directed management and management of a team of statisticians or data scientists.
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