This position is closing on 31st July 2026

The Role

The Analytics team at AHADI is looking to recruit a candidate with strong coding and software engineering skills and an interest in using data analytics to support priority-setting and decision-making in countries with high disease burden.

This position will focus on building rigorous and reproducible analysis code bases and databases. We are looking for a scientist with superb quantitative coding skills, a keen eye for data visualization, a proactive approach to solving problems, and excellent interpersonal skills.

AHADI’s Analytics team analyzes field, trial, survey, routine health system, climate, and environmental data; develops, configures, calibrates, and applies disease transmission and geospatial models; and designs and builds new data and analytics solutions to answer questions aimed at informing public health decision-making. The team supports training, educational, and skills development initiatives offered by AHADI or our partners and is actively engaged with the broader health analytics community.

AHADI is a values-driven organization, where our team members care deeply about enabling self-reliance in public health analytics in Africa. We believe that using analytics and systems thinking to design systems level solutions are essential for reducing disease burden, and we embrace our role of working for countries. AHADI is committed to creating an open and collaborative workplace where all can learn and thrive.

Responsibilities

We seek a Data Scientist to manage, visualize, and analyze public health data, including epidemiological, ecological, financial, and other data, and to support the Analytics team in best practice for data science and scientific computing. The Data Scientist must be highly flexible and able to adapt methodological and communication approaches to meet different needs.

Primary responsibilities include:

• Writes software code to manage,visualize, and analyze a variety of health data types
• Creates robust software pipelines to reproducibly automate data ingestion, management, and analysis
• Supports multiple AHADI initiatives as needed across the data and analysis pipeline
• Identifies and applies appropriate quantitative methods, or software solution, for the problem at hand 
• Supports the Analytics team to implement best practices for reproducible software development

Other responsibilities may include:

• Trains and collaborates with partner individuals and institutions to support upskilling of local public health analytics talent
• Supports, facilitates, and/or co-instructs in training initiatives offered by AHADI or its partners, as appropriate to the hire’s individual expertise
• Prepares reports and presentations to effectively communicate methods and findings to stakeholders, including ministries of health and other partners
• Prepares manuscripts for publication in peer-reviewed scientific journals

Minimum Qualifications

• MSc. in Data Science,Statistics, Biostatistics, Epidemiology, Applied Mathematics, Computer Science,or a closely related quantitative or computational field
• Minimum 3-5 years’ experience after MSc.
• Experience in statistical analysis, including statistical tests and basic regressions
• Experience in developing robust and reproducible software pipelines to automate data ingestion, management, and/or analysis
• Experience in developing dashboards or other complex data visualizations
• Experience in the responsible use of AI tools for coding
• Kenyan citizen or with residency permit in Kenya
• Able to work from AHADI’s Nairobi office

Preferred Qualifications

• Experience in management and/or analysis of epidemiological, public health, clinical trial, or other health data
• Experience working with survey data, routine surveillance data, and/or raster data
• Experience building geospatial models, predictive models, Bayesian models, and/or machine learning models

Minimum Competencies

• Professional proficiency in English
• Proficiency in data manipulation
• Proficiency in at least one data analysis language (R or Python)
• Proficiency in data visualization,including making maps
• Clear and effective communication of technical work to non-experts
• Ability to mentor and train others in data science techniques
• Ability to deliver on multiple priorities and programs of work with diverse methodological approaches
• Ability to work occasional extended hours to meet a deadline
• Ability to work productively as part of a team as well as independently drive a program of work to completion
• Ability to effectively deliver outputs and collaborate with team members in a remote, distributed working environment

Preferred Competencies

• Professional proficiency in at least one of French, Portuguese, Arabic, or Swahili
• Proficiency in database development and management
• Proficiency in the development and use of AI agents
• Professional-level software development skills
• In depth knowledge of machine learning principles and methods

Hiring Requirements

As part of our standard hiring process for new employees, employment will be contingent upon successful reference checks and availability of funding.

Candidates must supply an email and telephone contact that will be used when offering interviews. Only shortlisted candidates will be contacted. A valid clearance certificate is required prior to formal offer. Originals of the National Identity Card, academic and professional certificates, original transcripts and testimonials, must be presented at onboarding.

Inclusion Statement

AHADI is committed to a policy of equal employment opportunity and does not discriminate in the terms, conditions, or privileges of employment or fair treatment on account of race, age, sex, national origin, religion, or disability or otherwise as may be prohibited by law. Women and other underrepresented minorities in the field of public health analytics are especially encouraged to apply.

Applying

Apply for this role by submitting a cover letter, CV, and link to a GitHub repository with a code sample to careers@appliedhealthanalytics.org or through the form below. Cover letters and CVs are accepted in any language.Templates for putting together an effective CV (English, French) and cover letter (English, French) are available for download. Guidance for interviews is also available for download in English and French.

If selected for interview, candidates are welcome to interview in their preferred language. Please indicate your language of choice beforehand so we can accommodate any translation needs.

Candidates with visual and/or hearing impairments will be accommodated during the interview process, and if hired, during employment.Please indicate during the interview scheduling process what accommodations you will require.

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