Job Description-  Biostatistician

Background: The Center for Health Promotion and Research provides high-quality diagnostic services, undertakes programs to strengthen health provision, and engages in research to increase knowledge and inform policy change. We are seeking a skilled Biostatistician to join our team, primarily working with health-related data to support our research initiatives and health programs.

Position Summary: The Biostatistician will provide leadership on biostatistics in our research, from study design and sample size through to final analyses, reports and manuscripts. You will work alongside investigators, data managers and program staff to make sure every study produces results that are high quality and statistically robust. Located in Bamenda, with occasional travel to other regions of 5-15%.

Typical responsibilities and duties, depending on skill set:

•     Study design: Advise on study designs and calculate sample sizes for diagnostic accuracy studies, trials, cohort and cross-sectional studies.

•     Statistical analysis plans: Write and maintain statistical analysis plans (SAPs), agreed with investigators before data lock.

•     Data analysis: Carry out descriptive and inferential analyses, including sensitivity, specificity and predictive values with confidence intervals, regression modelling and analysis of clustered data.

•     Data quality: Work with the data management team on case report form and REDCap database design, data cleaning rules and handling of missing data.

•     Reproducible code: Write clear, documented, version-controlled analysis code in R or Python that others can rerun.

•     Reporting and publication: Prepare tables, figures and statistical sections for study reports, funder deliverables and peer-reviewed manuscripts, following relevant guidelines (e.g. STARD, CONSORT STROBE etc).

•     Program monitoring: Support analysis of program indicators and monitoring data for ongoing health programs.

•     Capacity building: Train and support researchers and staff in statistical methods and interpreting results.

•     Perform other duties as needed to ensure the success of the activities.

Qualifications (required):

•     Education: Master's degree in Biostatistics, Statistics, Epidemiology or a related quantitative field.

•     Health background: Training or work experience in a health field, such as public health, epidemiology, medicine, nursing or biomedical science.

•     Experience: At least 3 years of experience analyzing health or clinical research data.

•     Programming: Proficiency in R or Python for statistical analysis, data management and visualization.

•     Methods: Sound command of regression models (linear, logistic, Poisson), diagnostic accuracy statistics, sample size calculation and methods for missing data.

•     Communication: Able to explain statistical results clearly to clinicians, program managers and funders, in writing and in person.

•     Language: Proficient in written and spoken English.

•     Working style: Rigor, attention to detail and discretion with confidential health data. Able to work independently and in a team.

Qualifications (preferred):

•     Proficiency in both R and Python, or experience with Stata or SAS

•     Experience with TB, HIV or other infectious disease research, especially diagnostic accuracy studies

•     Co-authorship of peer-reviewed publications

•     Experience with REDCap, Git or R Markdown

•     Working knowledge of French

Application Process:

This position is planned for 12 months with the possibility for renewal depending on funding availability. If interested, please prepare a complete application including a cover letter, current CV, copies of certificates and diplomas and (preferred) two recommendation letters. In your cover letter, please describe your health background, the statistical methods you have applied, and your experience with R or Python. Include links to publications or code samples, such as a GitHub profile, if you have them. Please send your application as one or more PDF document(s) attached to a single email. Please note that only applications submitted by email will be reviewed and only shortlisted candidates will be contacted. Submit all documents by email to recruitment@chprhealth.org  and indicate "Biostatistician” in the subject line. The deadline for applying is October 23, 2026.