6
Key Responsibilities:
- •Develop mathematical models to characterise the relationship between interventions and AMR burden and fit these to datasets from Kenya, and possibly Nigeria.
- •Adapt these models to explore the relative impact of different aspects of the multimodal interventions
- •Collaborate closely with other scientists working on the research group in Kenya, UK, Malawi, Nigeria.
- •Present model outputs at scientific and policy meetings in the countries of interest.
- •Develop novel ideas and grant applications in the related areas for further funding proposals
- •Support the academic life of the ED department and the programme through participation in seminars, journal clubs and mentorship of junior scientists
- •Work with other modellers at the KWRP to develop capacity in and appreciation of the specialty of mathematical modelling in infectious diseases and its application to economic evaluation and policy.
- •Develop a personal research portfolio that will form the basis for a credible application for grant funding or personal research funding within the lifetime of the position
- •By capitalising on other Programme resources (e.g. support for Masters and PhD student training) and by developing personal grants, the post holder may have an opportunity to develop a nascent research group on the path to an independent researcher
Vacancy Requirements:
| # | Description. | Requirement Type |
|---|---|---|
| 1 | PhD in Mathematical Modeling, Epidemiology, Population Health, Infectious Disease Dynamics, Biostatistics, or a related quantitative discipline. Preferably with a focus on infectious disease modeling, antimicrobial resistance (AMR), or health economics. | Mandatory |
| 2 | Minimum Ten (10) years overall experience Five (5) years of which were at Managerial level | Mandatory |
| 3 | Strong quantitative and analytical skills. Proficiency in differential equations, stochastic processes, or agent-based modeling relevant to infectious disease transmission and intervention impact assessment. | Mandatory |
| 4 | Demonstrated experience in developing and analyzing compartmental models (e.g., SIS, SIR), agent-based models, or network models for infectious disease dynamics. Familiarity with multi-modal intervention analysis is a plus. | Mandatory |
| 5 | Proficiency in at least one programming language commonly used in epidemiological modeling, prefarably R and/or C++ | Mandatory |
| 6 | Experience in integrating heterogeneous data sources (e.g., surveillance data, clinical data, serological surveys) into mathematical models. | Mandatory |
| 7 | Knowledge of parameter estimation and uncertainty quantification techniques in transmission models. | Mandatory |
| 8 | Prior research experience related to antimicrobial resistance (AMR) dynamics or intervention strategies (e.g., vaccination, antibiotic stewardship, infection control measures). | Mandatory |
| 9 | Understanding of resistance mechanisms and fitness costs in bacterial populations. | Desirable |
| 10 | Experience working in multidisciplinary teams, especially with epidemiologists, clinicians, and public health policymakers. | Desirable |
| 11 | Ability to translate complex model outputs into policy-relevant insights. | Desirable |
| 12 | Proven track record of publishing in peer-reviewed journals. | Desirable |
| 13 | Experience in science communication, particularly in presenting modelling results to non-technical stakeholders (e.g., policymakers) | Desirable |
| 14 | Good analytical ability, planning and organizational skills | Skills & Competencies |
| 15 | Attentive to detail with the capacity to work with/follow laid down processes and procedures | Skills & Competencies |
| 16 | Ability to work independently/with minimum supervision and within stipulated deadlines and schedules | Skills & Competencies |
| 17 | Confidentiality and Integrity | Skills & Competencies |
| 18 | Excellent interpersonal and communication skills | Skills & Competencies |
| 19 | Team working and ability to work in a multi-cultural environment | Skills & Competencies |
