APHRC Mathematical Modeler Jobs in Kenya
APHRC Mathematical Modeler Jobs in Kenya
The African Population and Health Research Center (APHRC) is a leading Africa-based, African-led, international research institution headquartered in Nairobi, Kenya. APHRC conducts policy-relevant research on population, health, education, urbanization and related development issues in sub-Saharan Africa.
APHRC seeks to recruit a Mathematical Modeler to work in the Data Science and Evaluation (DSE) Theme within the Research Division.
Duties/ResponsibilitiesThe Mathematical Modeler will be responsible for creating models that demonstrate complex processes for solving health-related problems. They will leverage existing data resources within and beyond APHRC and use their skills combined with software technology to support effective health decision making.
The Mathematical Modeler will:Develop and adapt/modify existing mathematical models including deterministic, stochastic, network and individual or agent-based models for health outcomes;
Work closely with DSE data scientists and AI software developers/engineer to design efficient programs, algorithms, or systems to reduce programming time for parameter sampling, model fitting (to data), and analyses;
Import and export large sets of raw and synthetic data files for use in statistical analysis and machine learning;
Manipulate, transform, encrypt, and combine data from multiple data sets including data at the APHRC micro portal, INSPIRE platform and other administrative data sources;
Perform analytical (counterfactual) simulation exercises using mathematical models for various health outcomes at APHRC;
Perform literature reviews supported by domain experts, researchers and epidemiologists, to identify model parameters;
Perform descriptive and exploratory statistical analysis of individual-level or aggregate-level data to parameterize transmission models;
Validate code and models to ensure algorithms are complete, reproducible, accurate and of high quality prior to analysis;
Maintain high quality coding practices, version control, and documentation of coding for reproducibility;
Develop standard operating procedures for effective mathematical modeling activities at DSE;
Communicate and liaise with research, policy, program, and community partners including coordinating and chairing collaborator meetings;
Contribute to report and manuscript writing, knowledge translation products, grants, and ethics review board applications;
Prepare tables, figures, and reports for end-users, including clinicians, researchers, community-based organizations,
public health decision-makers;
Train, mentor, and DSE staff interested in mathematical modeling; and
Work with internal and international collaborators on modelling projects.
Qualifications, Skills, and Experience
Master’s degree in Mathematical Epidemiology, Applied Mathematics, Epidemiology, Statistics, Computer Science or other related field. Holders of Bachelor’s degrees with relevant experience will also be considered.
At least three years’ relevant experience in modelling systems and/or numerical methods.
Experience in mathematical dynamic modelling of infectious disease transmission, PK modelling, Non-linear models or agent-based models.
Experience with economic analyses / economic evaluations / health-economics is an asset.
Must be fully proficient in the use of R, Python.
Ability to manage computer programming activities and support analytic operations.
Experience in Frequentist and Bayesian statistics, and likelihoods.
Experience with machine-learning and data visualization tools.
Experience in basic statistical analysis, modelling or scientific computing.
Good communication skills to describe findings to both technical and non-technical audiences.
Excellent problem-solving skills, has attention to detail and a strong analytical mind.
Demonstrates ability to work both independently and to work collaboratively with internal and external team members, and stakeholders.
Ability to multi-task, work accurately and effectively to deadlines; has good self-assessment of timing of tasks and ability to set deadlines. Organizational and time management skills to manage and prioritize workload.
Demonstrate an appreciation of technical and analytic challenges, and learning new approaches and topics.
This position is classified under Nationally Recruited Positions (NRP), Grade V in our scale
How to Apply
For more information and job application details, see; APHRC Mathematical Modeler Jobs in Kenya
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