To lead analysis of climate and health data using traditional biostatistics and/or data science methods within the GHAP project, a Wellcome Trust funded study
Location:
Parktown, Johannesburg
Key performance areas:Data analysis planning and implementation
Write 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
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 abreast with relevant data analysis advances and collaborate closely with other investigators on related studies
Research dissemination
Publish scientific publications
Compile conference presentations
Supervise PhD students
Project leadership
Generate ideas for data analyses and novel approaches to investigating the data
Assist with managing 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
Assist with implementing the structured research activities in the team and amongst partners
Staff management
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
Required minimum education and training:
MSc Degree in Biostatistics or Data Science
Required minimum work experience:
Minimum of 5 years' experience with statistical analysis
Desirable additional education, work experience and personal abilities:
Good writing and data visualization skills
Experience in time series analysis in climate change will be advantageous
Ability and experience with working in multi-disciplinary teams
Strong STATA, R or Python programming skills
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)
Ability to work well under pressure and adhere to deadlines
TO APPLY:
Only if you do meet the minimum job requirements and experience as mentioned above, you may submit a detailed updated CV.
Please Apply Online and complete your registration on Ditto Hire (our application tracking system) to enable and protect you as a candidate to accept the new POPIA terms and conditions. This will then create your permanent profile with which you can apply for all jobs as advertised by AJ PERSONNEL. However, you may remove your profile from AJ PERSONNEL when you are no longer in the job market.
Please take note that the applicants who do not adhere to the above criteria will not be considered for the respective position.
The closing date for all applications: 30 August 2024.
Note WHC, in accordance with their Employment Equity goals and plan, will give preference to suitable applicants from designated groups as defined in the Employment Equity Act 55 of 1998 and subsequent amendments thereto.
Please note:
AJ PERSONNEL is only responsible for the advertising of the advertisement on behalf of their client Wits Health Consortium.
Wits Health Consortium will only respond to shortlisted candidates.
Candidates who have not been contacted within two weeks of the closing date can consider their applications to be unsuccessful.
AJ Personnel does not have any salary or other information regarding the position.