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HEOR Africa

Careers

Lead Biostatistician & Data Pipeline Architect

Direct data management, statistical validation and automated data-quality pipelines in R, R Shiny and SPSS for multi-site clinical trials and epidemiological surveillance.

About the role

You will direct our data management and statistical validation work for multi-site clinical trials and epidemiological surveillance, building automated auditing pipelines in R, R Shiny and SPSS that make every analysis reproducible.

Key responsibilities

  • Oversee exploratory data analysis, logistic regression, survival analysis and complex survey designs.
  • Build and optimise automated R-based data-quality diagnostics for REDCap research exports.
  • Safeguard data integrity, governance compliance and reproducible analytical workflows.

Working arrangements

The type of engagement and its terms are flexible, and we agree them with each shortlisted candidate after an initial conversation. The work is remote. Depending on the project, we may occasionally ask you to work in person, for example at our offices in Kigali or Addis Ababa, with a client, or at a field site. We agree any in-person work with you in advance.

Partners and consultants

We also work with technical partners and data engineering consultants who share our commitment to precision, careful compliance and efficient, well-run projects.

Equal opportunity

We are building an inclusive workplace where diverse analytical perspectives make our work better. We support the professional growth of data professionals from every background.

WhatsApp HEOR Africa (opens WhatsApp)