Statistician

Carlysle Human Capital; Durban; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Carlysle Human Capital in Durban seeks a Biostatistics professional to provide statistical expertise for clinical trials and observational studies. The role involves developing analysis plans, writing outputs, and contributing to grant proposals, with a focus on reproducible code and rigorous study design.

The ideal candidate will hold a Masters or PhD in Statistics/Biostatistics, have extensive experience with R and/or Python, and a strong background in epidemiology and health data analysis,

Qualifications

• Masters degree or higher in Statistics, Biostatistics or related quantitative discipline.
• PhD in Statistics or related field advantageous.
• 4 years of research and statistical analysis experience.
• Strong experience in R and/or Python; SAS, Stata or other software advantageous.
• Experience in applied statistical research, epidemiological studies and health data analysis.
• High level of MS Office literacy (Word, Advanced Excel and Outlook).
• Experience with longitudinal data, repeated measurements, survival/time-to-event analysis and multivariable modelling advantageous.

Responsibilities

• Provide statistical advice for the design of clinical trials and observational studies and contribute to protocols and grant applications.
• Undertake projects in Biostatistical methodology and applied Biostatistical research; or be a co-investigator or study statistician in health-related project.
• Determine and undertake 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.

Skills

R

Python

Biostatistics

Epidemiology

MS Office

Education

Masters in Statistics/Biostatistics or related

PhD advantageous

Tools

SAS

Stata

Job description

Key Responsibilities:

Provide statistical advice for the design of clinical trials and different types of observational studies and contribute to protocols and grant applicationsThe 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 degree or higher in Statistics, Biostatistics or a related quantitative discipline. A PhD in Statistics or a related field will be advantageous (with undergraduate in a related quantitative discipline) 4 years of research and statistical analysis experience Strong experience in R and/or Python; experience with SAS, Stata or other statistical software will be advantageous Experience in applied statistical research, epidemiological studies and analysis of health-related data Basic knowledge of clinical and microbiome research and epidemiology High level of computer literacy in MS office (Word, Advanced Excel and Outlook) Experience with longitudinal data, repeated measurements, survival/time-to-event analysis and multivariable statistical modelling will be advantageous

Personal Qualities and Competencies:

Strong analytical, statistical and problem-solving skills with excellent 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