Research Fellow (1-year fixed term contract) at University of the Witwatersrand

• The ideal candidate will have documented training and experience in data management and analysis as well as experience working in health-related research setting with evidence of scientific output. We offer an intellectually rich working environment with excellent opportunities for professional growth. This is an in-person position - we offer a conducive and flexible working environment. This position is based in Johannesburg, but there will be some requirements for travel to the rural field site.

Key performance area

Data & Analysis

• Lead in the generation and curation of tailor-made datasets to support the ongoing efforts of senior Unit scientists.
• Support the generation of scientific questions and lead in the analysis to address these questions.

Scientific Output

• Lead the production of manuscripts emanating from the analysis conducted.
• Present findings locally, regionally, and internationally at relevant venues, including conferences, ad hoc meetings and symposia.

Mentorship & Support

• Support the development of junior colleagues by providing technical and scientific input, mentorship, and guidance.

Required minimum education and training

• Ideal candidate would possess at least a Masters level qualification in Statistics / Biostatistics / Epidemiology / Demography / Data Analytics / Bioinformatics / Data Science / Computer Science or other highly quantitative and computational field. A doctoral qualification will be highly advantageous.

Desirable additional education, work experience, and personal abilities

• At least 2 years of working with a research organization in a documented position requiring data management and analysis.
• Experience working with a scientific/research team.
• At least one peer-reviewed, published scientific manuscript in an accredited journal (with evidence of lead authorship).
• Strong analytical and problem-solving skills with high attention to detail.
• Management of large, complex datasets.
• Proficiency with a commonly recognised statistical package (eg Stata, R, SPSS or SAS).
• Team player able to work in a high-performing collaborative environment, and to support scientific investigations across disciplines.
• Exceptional interpersonal and leadership skills.
• Excellent report writing skills.
• Effective time management skills and ability to work independently and under pressure.