Graduate Trainee - Mathematics
2025-07-23T07:44:31+00:00
Infectious Diseases Institute (IDI)
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https://idi.mak.ac.ug/
FULL_TIME
Uganda
Kampala
00256
Uganda
Health Science
Education
2025-08-15T17:00:00+00:00
Uganda
8
The candidate will support the GHS department programs in defining scientific questions, refining analysis methods, and identifying literature and data sources for the project. Working closely with a senior statistician and epidemiologist, the Senior Mathematical Modeller will be responsible for conducting literature searches, scoping reviews, and synthesising findings into high-level scientific reports. The primary objective of this role is to utilise mathematical modelling to inform health programming, planning, and policy decisions on the African continent.
Key Responsibilities
- Collaborate with internal and external stakeholders to define research questions, study objectives, and modelling approaches for disease burden assessment and projection in Africa.
- Lead literature searches and scoping reviews to identify relevant studies, datasets, and evidence sources related to disease transmission dynamics, epidemiological trends, and intervention effectiveness.
- Develop and implement mathematical models to forecast disease burden, analyse disease transmission dynamics, and evaluate the impact of interventions on disease control and prevention.
- Work closely with a senior statistician and epidemiologist to integrate mathematical modelling outputs with statistical analyses and epidemiological insights for scientific reporting.
- Conduct comprehensive data synthesis and interpretation, including model calibration, validation, sensitivity analysis, and scenario modelling.
- Write and contribute to the development of scientific reports, manuscripts, and presentations summarising key modelling findings for publication in peer-reviewed journals and dissemination to high-level scientific audiences.
Academic Qualifications
- Bachelor’s degree in mathematics, Data Science, Statistics, Epidemiology, or a related field. A master’s degree in a related field is an added advantage
- Recent Graduate with a minimum GPA of 4.0 obtained from a chartered university
Person Specification
- Strong technical skills in mathematical modeling, data science, machine learning, and statistical analysis, with proficiency in relevant software tools and programming languages (e.g., Python, R, Stata).
- Excellent written and verbal communication skills, with the ability to convey complex scientific concepts to diverse audiences in a clear and compelling manner.
- Demonstrated ability to work independently and collaboratively in a fast-paced, multicultural environment, with strong organizational and time management skills.
Collaborate with internal and external stakeholders to define research questions, study objectives, and modelling approaches for disease burden assessment and projection in Africa. Lead literature searches and scoping reviews to identify relevant studies, datasets, and evidence sources related to disease transmission dynamics, epidemiological trends, and intervention effectiveness. Develop and implement mathematical models to forecast disease burden, analyse disease transmission dynamics, and evaluate the impact of interventions on disease control and prevention. Work closely with a senior statistician and epidemiologist to integrate mathematical modelling outputs with statistical analyses and epidemiological insights for scientific reporting. Conduct comprehensive data synthesis and interpretation, including model calibration, validation, sensitivity analysis, and scenario modelling. Write and contribute to the development of scientific reports, manuscripts, and presentations summarising key modelling findings for publication in peer-reviewed journals and dissemination to high-level scientific audiences.
Strong technical skills in mathematical modeling, data science, machine learning, and statistical analysis, with proficiency in relevant software tools and programming languages (e.g., Python, R, Stata). Excellent written and verbal communication skills, with the ability to convey complex scientific concepts to diverse audiences in a clear and compelling manner. Demonstrated ability to work independently and collaboratively in a fast-paced, multicultural environment, with strong organizational and time management skills.
Bachelor’s degree in mathematics, Data Science, Statistics, Epidemiology, or a related field. A master’s degree in a related field is an added advantage Recent Graduate with a minimum GPA of 4.0 obtained from a chartered university
No Requirements
JOB-688092df9ecb0
Vacancy title:
Graduate Trainee - Mathematics
[Type: FULL_TIME, Industry: Health Science, Category: Education]
Jobs at:
Infectious Diseases Institute (IDI)
Deadline of this Job:
Friday, August 15 2025
Duty Station:
Uganda | Kampala | Uganda
Summary
Date Posted: Wednesday, July 23 2025, Base Salary: Not Disclosed
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JOB DETAILS:
The candidate will support the GHS department programs in defining scientific questions, refining analysis methods, and identifying literature and data sources for the project. Working closely with a senior statistician and epidemiologist, the Senior Mathematical Modeller will be responsible for conducting literature searches, scoping reviews, and synthesising findings into high-level scientific reports. The primary objective of this role is to utilise mathematical modelling to inform health programming, planning, and policy decisions on the African continent.
Key Responsibilities
- Collaborate with internal and external stakeholders to define research questions, study objectives, and modelling approaches for disease burden assessment and projection in Africa.
- Lead literature searches and scoping reviews to identify relevant studies, datasets, and evidence sources related to disease transmission dynamics, epidemiological trends, and intervention effectiveness.
- Develop and implement mathematical models to forecast disease burden, analyse disease transmission dynamics, and evaluate the impact of interventions on disease control and prevention.
- Work closely with a senior statistician and epidemiologist to integrate mathematical modelling outputs with statistical analyses and epidemiological insights for scientific reporting.
- Conduct comprehensive data synthesis and interpretation, including model calibration, validation, sensitivity analysis, and scenario modelling.
- Write and contribute to the development of scientific reports, manuscripts, and presentations summarising key modelling findings for publication in peer-reviewed journals and dissemination to high-level scientific audiences.
Academic Qualifications
- Bachelor’s degree in mathematics, Data Science, Statistics, Epidemiology, or a related field. A master’s degree in a related field is an added advantage
- Recent Graduate with a minimum GPA of 4.0 obtained from a chartered university
Person Specification
- Strong technical skills in mathematical modeling, data science, machine learning, and statistical analysis, with proficiency in relevant software tools and programming languages (e.g., Python, R, Stata).
- Excellent written and verbal communication skills, with the ability to convey complex scientific concepts to diverse audiences in a clear and compelling manner.
- Demonstrated ability to work independently and collaboratively in a fast-paced, multicultural environment, with strong organizational and time management skills.
Work Hours: 8
Experience: No Requirements
Level of Education: bachelor degree
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