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About the Organisation
Clinical Biostatistician job at Infectious Diseases Institute (IDI) | Apply Now
Uganda
The Infectious Diseases Institute (IDI) is a leading center of excellence in infectious disease research, prevention, and treatment, dedicated to strengthening healthcare systems and improving lives in Uganda and beyond. Renowned for its impactful work in HIV/AIDS, tuberculosis, malaria, and emerging infections, IDI has earned global recognition for its cutting-edge research, clinical care, and capacity-building initiatives.
The institute fosters a collaborative and inclusive work culture, attracting top talent in healthcare, research, and administration while offering professional development opportunities, competitive benefits, and flexible work arrangements. Established in 2002 as part of Makerere University, IDI has evolved into an independent organization at the forefront of medical innovation, leveraging technology and data-driven solutions to enhance disease surveillance and response.
With operations spanning Uganda and regional collaborations across Africa, IDI serves millions through its extensive network of clinics, training programs, and public health interventions. Guided by values of integrity, excellence, innovation, and service, the institute remains committed to addressing pressing health challenges while driving sustainable community impact.
Its Corporate Social Responsibility (CSR) efforts focus on strengthening local healthcare infrastructure, promoting public health education, and supporting vulnerable populations. For more information, visit www.idi-makerere.com.
Are you looking for Biostatistics jobs in Uganda 2025 today? then you might be interested in Clinical Biostatistician job at Infectious Diseases Institute (IDI)
Full Time
Deadline:
14 Aug 2025
Job Title
Clinical Biostatistician job at Infectious Diseases Institute (IDI)
Infectious Diseases Institute (IDI)
Job Description
Job Title: Clinical Biostatistician
Organization: Infectious Diseases Institute (IDI)
Location: Uganda
Overview
The Global Health Security (GHS) Department at IDI is seeking a Clinical Biostatistician graduate trainee/intern to gain hands-on experience in applied biostatistics related to health security, outbreak response, and infectious disease research. This role will support the GHS statistical and modelling unit by analyzing clinical and surveillance data to generate evidence that informs infectious disease control strategies across the department’s seven program areas.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
Apply by: 15th August 2025
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How to Apply
Assist with data cleaning, validation, and quality assessment of datasets generated by GHS programs.
Support the development of data collection tools and analysis plans aligned with research questions and project goals.
Conduct statistical analyses for reporting purposes and contribute to manuscript preparation.
Develop and apply statistical models for outbreaks and infectious diseases.
Support sample size calculations and power analyses for epidemiological studies, clinical trials, and proposals.
Aid in designing and maintaining automated, secure, cloud-based data pipelines to ensure consistent data flows.
Monitor data quality through profiling, reporting, and basic visualizations to identify and resolve data issues.
Maintain metadata systems and data catalogs to enhance dataset discoverability, traceability, and usability.
Contribute to data governance activities including dataset version control, consent mapping, and ensuring ethical data use.
Collaborate closely with researchers, data scientists, and subject matter experts to uphold data integrity, ethics, and quality standards.
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Bachelor’s degree in Statistics, Biostatistics, Mathematics, or related field. A Master’s degree in Data Science, Biostatistics, or Applied Mathematics is an advantage.
Recent graduate with excellent academic performance (GPA 4.00 or above) from a recognized university.
Person Specification
Solid foundation in epidemiological study designs and public health principles.
Proficient in statistical software such as R, Python, Stata, and SAS, with strong data visualization and interpretation skills.
Excellent analytical, problem-solving, and attention-to-detail skills.
Enthusiastic learner with a commitment to producing high-quality work in a fast-paced, multidisciplinary environment.
Strong communication and teamwork abilities.
