Clinical biostatistician
2025-07-23T07:58:19+00:00
Infectious Diseases Institute (IDI)
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https://idi.mak.ac.ug/
FULL_TIME
kampala
Kampala
00256
Uganda
Health Science
Health Professionals
2025-08-15T17:00:00+00:00
Uganda
8
The IDI's Global Health Security Department seeks to recruit a clinical biostatistician who will provide hands-on experience in applied biostatistics within the context of health security, outbreak response, and research across the GHS department’s seven program areas. The Clinical Biostatistician graduate trainee/intern will support the GHS statistical and modelling unit to analyse clinical and surveillance data to generate evidence for infectious disease control studies and strategies.
Key Responsibilities
- Support data cleaning and validation of the datasets generated under the GHS department programs.
- Support projects to develop data collection tools and prepare analysis plans in alignment with project research and learning questions
- Perform statistical analyses for reporting and support development of manuscripts.
- Utilise the data to develop statistical models for outbreaks and infectious diseases
- Support sample size estimation and power analysis for proposals, epidemiological studies and clinical trials.
- Support the design and maintenance of automated cloud-based data pipelines, ensuring secure, scalable, and consistent data flows
- Monitor and assess data quality through profiling, reporting, and basic visualisation to flag and help resolve data issues
- Maintain metadata systems and data catalogues to support discoverability, traceability, and usability across datasets
- Contribute to documentation and data governance activities, including dataset versioning, consent mapping, and ethical use
- Work closely with researchers, data scientists, and domain experts to ensure data meets ethical, analytical, and quality standards
Academic Qualifications
- Bachelor’s degree in Statistics, Biostatistics, Mathematics, or a related field. A masters degree in Data Science, Biostatistics, or Applied Mathematics is an added advantage.
- Recent graduate with strong academic performance (GPA 4.00 and above) from a chartered university
Person Specification
- Recent graduate with strong academic performance (GPA 4.00 and above) from a chartered university
- Basic knowledge of epidemiological study designs and public health concepts.
- Proficiency in statistical software: R, Python, Stata, SAS. Stata, data visualisation and interpretation.
- Strong analytical and problem-solving skills.
- Attention to detail and commitment to high-quality outputs.
- Eagerness to learn and grow in a multidisciplinary, fast-paced environment.
- Excellent communication and teamwork skills.
Key Responsibilities Support data cleaning and validation of the datasets generated under the GHS department programs. Support projects to develop data collection tools and prepare analysis plans in alignment with project research and learning questions Perform statistical analyses for reporting and support development of manuscripts. Utilise the data to develop statistical models for outbreaks and infectious diseases Support sample size estimation and power analysis for proposals, epidemiological studies and clinical trials. Support the design and maintenance of automated cloud-based data pipelines, ensuring secure, scalable, and consistent data flows Monitor and assess data quality through profiling, reporting, and basic visualisation to flag and help resolve data issues Maintain metadata systems and data catalogues to support discoverability, traceability, and usability across datasets Contribute to documentation and data governance activities, including dataset versioning, consent mapping, and ethical use Work closely with researchers, data scientists, and domain experts to ensure data meets ethical, analytical, and quality standards
Person Specification Recent graduate with strong academic performance (GPA 4.00 and above) from a chartered university Basic knowledge of epidemiological study designs and public health concepts. Proficiency in statistical software: R, Python, Stata, SAS. Stata, data visualisation and interpretation. Strong analytical and problem-solving skills. Attention to detail and commitment to high-quality outputs. Eagerness to learn and grow in a multidisciplinary, fast-paced environment. Excellent communication and teamwork skills.
Academic Qualifications Bachelor’s degree in Statistics, Biostatistics, Mathematics, or a related field. A masters degree in Data Science, Biostatistics, or Applied Mathematics is an added advantage. Recent graduate with strong academic performance (GPA 4.00 and above) from a chartered university
JOB-6880961bb44f0
Vacancy title:
Clinical biostatistician
[Type: FULL_TIME, Industry: Health Science, Category: Health Professionals]
Jobs at:
Infectious Diseases Institute (IDI)
Deadline of this Job:
Friday, August 15 2025
Duty Station:
Kampala | Uganda
Summary
Date Posted: Wednesday, July 23 2025, Base Salary: Not Disclosed
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JOB DETAILS:
The IDI's Global Health Security Department seeks to recruit a clinical biostatistician who will provide hands-on experience in applied biostatistics within the context of health security, outbreak response, and research across the GHS department’s seven program areas. The Clinical Biostatistician graduate trainee/intern will support the GHS statistical and modelling unit to analyse clinical and surveillance data to generate evidence for infectious disease control studies and strategies.
Key Responsibilities
- Support data cleaning and validation of the datasets generated under the GHS department programs.
- Support projects to develop data collection tools and prepare analysis plans in alignment with project research and learning questions
- Perform statistical analyses for reporting and support development of manuscripts.
- Utilise the data to develop statistical models for outbreaks and infectious diseases
- Support sample size estimation and power analysis for proposals, epidemiological studies and clinical trials.
- Support the design and maintenance of automated cloud-based data pipelines, ensuring secure, scalable, and consistent data flows
- Monitor and assess data quality through profiling, reporting, and basic visualisation to flag and help resolve data issues
- Maintain metadata systems and data catalogues to support discoverability, traceability, and usability across datasets
- Contribute to documentation and data governance activities, including dataset versioning, consent mapping, and ethical use
- Work closely with researchers, data scientists, and domain experts to ensure data meets ethical, analytical, and quality standards
Academic Qualifications
- Bachelor’s degree in Statistics, Biostatistics, Mathematics, or a related field. A masters degree in Data Science, Biostatistics, or Applied Mathematics is an added advantage.
- Recent graduate with strong academic performance (GPA 4.00 and above) from a chartered university
Person Specification
- Recent graduate with strong academic performance (GPA 4.00 and above) from a chartered university
- Basic knowledge of epidemiological study designs and public health concepts.
- Proficiency in statistical software: R, Python, Stata, SAS. Stata, data visualisation and interpretation.
- Strong analytical and problem-solving skills.
- Attention to detail and commitment to high-quality outputs.
- Eagerness to learn and grow in a multidisciplinary, fast-paced environment.
- Excellent communication and teamwork skills.
Work Hours: 8
Experience in Months: 36
Level of Education: bachelor degree
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