Statistician

Description:

Join a World-Leading HIV & TB Research Team in Durban!Our client is a globally recognized research organization based at the Nelson Mandela School of Medicine, Durban, conducting groundbreaking HIV and TB research across four clinical sites in KwaZulu-Natal. Their work is globally significant and locally impactful, advancing HIV vaccines, prevention, epidemiology, and the links between TB and AIDS treatment. They are a UNAIDS Collaborating Centre for HIV Research and Policy, a DSI-NRF Centre of Excellence in HIV Prevention, and host the SAMRC HIV-TB Pathogenesis and Treatment Research Unit.They are looking for a Statistician to join their dynamic Statistics team. In this role, you will:Provide statistical support and expert methodological advice for cutting-edge studiesConduct and interpret statistical analyses, contributing to publications and reportsPrepare monthly study updates and insights for ongoing researchThis is your chance to play a key role in research that saves lives and shapes global HIV and TB policy—while growing your expertise in a world-class, collaborative environment. Key Responsibilities:

• Provide statistical advice for the design of clinical trials and different types of observational studies and contribute to protocols and grant applications
• The ability to undertake projects in Biostatistical methodology and applied Biostatistical research; or being a co-investigator or study statistician in health-related project
• Determine and undertake appropriate analysis of clinical trials, observational studies and de-identified routine health records data and record statistical analysis code in a reproducible format.
• Write-up study design, sample size, statistical analysis plans and study analysis results
• Prepare routine and adhoc study reports and contribute to presentations and publications

Minimum Requirements:

• Masters or Honours degree in Biostatistics, Statistics or a related quantitative discipline (with undergraduate in a related quantitative discipline)
• 4 years of research and statistical analysis experience
• SAS, R, STATA or another statistical analysis programme essential
• Basic knowledge of clinical research and epidemiology
• High level of computer literacy in MS office (Word, Advanced Excel and Outlook)
• Experience analysing clinical trial data or longitudinal data would be advantageous

Personal Qualities and Competencies:

• Exceptional organizational and problem-solving skills
• Analytical ability with high attention to detail
• Able to work under pressure in a changing environment
• Ability to work independently and fit in well within a multi-disciplinary team
• Ability to communicate statistical concepts to non-statisticians
• Managing time and work/deadline driven
• Excellent written, verbal communication skills and interpersonal skills

Requirements:

• Provide statistical advice for the design of clinical trials and different types of observational studies and contribute to protocols and grant applications
• The ability to undertake projects in Biostatistical methodology and applied Biostatistical research; or being a co-investigator or study statistician in health-related project
• Determine and undertake appropriate analysis of clinical trials, observational studies and de-identified routine health records data and record statistical analysis code in a reproducible format.
• Write-up study design, sample size, statistical analysis plans and study analysis results
• Prepare routine and adhoc study reports and contribute to presentations and publications

• Masters or Honours degree in Biostatistics, Statistics or a related quantitative discipline (with undergraduate in a related quantitative discipline)
• 4 years of research and statistical analysis experience
• SAS, R, STATA or another statistical analysis programme essential
• Basic knowledge of clinical research and epidemiology
• High level of computer literacy in MS office (Word, Advanced Excel and Outlook)
• Experience analysing clinical trial data or longitudinal data would be advantageous

• Exceptional organizational and problem-solving skills
• Analytical ability with high attention to detail
• Able to work under pressure in a changing environment
• Ability to work independently and fit in well within a multi-disciplinary team
• Ability to communicate statistical concepts to non-statisticians
• Managing time and work/deadline driven
• Excellent written, verbal communication skills and interpersonal skills