This position is closing on 31st July 2026

The Role

The Analytics team at AHADI is looking to recruit a candidate with strong analytical and quantitative skills, strong mentoring 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 statistical and geospatial analysis of diverse data types as well as mentoring junior scientists. We are looking for a scientist with a proactive approach to solving problems, strong coding skills,a keen curiosity, excellent oral and written communication, 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 Biostatistician/Geostatistician to analyze public health data, including epidemiological, geospatial, ecological, financial, and other data, using multiple quantitative methods, and to train and mentor junior staff(Assistant Research and Technical Officers, and those in similar positions) in public health analytics. The Biostatistician/Geostatistician must be highly flexible and able to identify, adapt, and apply suitable methodological approaches to solve diverse analytical problems.

The Biostatistician/Geostatistician is expected to act as a day-to-day role model, mentor, and resource for all junior staff, spending around half their time supporting the skills development and growth of junior staff and half their time on executing their own analysis work. The Biostatistician/Geostatistician must be able to adapt communication approaches to meet different needs.

Primary responsibilities include:

• Writes software code (in Rand/or Python) to manage, visualize, analyze, and model a variety of health data types
• Identifies and applies appropriate quantitative and statistical methods for the problem at hand
• Prepares reports and presentations to effectively communicate methods and findings to stakeholders, including ministries of health and other partners
• Trains junior staff and supports the Analytics team to implement best practices for reproducible software development
• Supports junior staff to deliver high quality code and technical outputs
• Trains and collaborates with partner individuals and institutions to support upskilling of local public health analytics talent

Other responsibilities may include:

• Supports multiple AHADI initiatives as needed across the analysis pipeline
• Supports, facilitates, and/or co-instructs in training initiatives offered by AHADI or its partners, as appropriate to the hire’s individual expertise
• Prepares manuscripts for publication in peer-reviewed scientific journals

Minimum Qualifications

• Ph.D. in biostatistics, GIS, or related quantitative field
• Experience in management and/or analysis of epidemiological, public health, clinical trial, or other health data
• Experience in statistical analysis, including statistical tests and basic regressions
• Experience building geospatial models, predictive models, Bayesian models, and/or machine learning models
• Kenyan citizen or with residency permit in Kenya
• Able to work from AHADI’s Nairobi office

Preferred Qualifications

• Experience working with survey data, routine surveillance data, and/or raster data
• Experience in developing dashboards or other complex data visualizations
• Experience in the responsible use of AI tools for coding
• Experience in teaching or supervising technical staff at the bachelor’s or master’s level
• Experience working with ministries of health or public health departments
• Published articles in peer-reviewed scientific journals

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 analytical techniques
• Ability to foster a positive and growth-oriented team environment
• 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

• Experience working with or for NGOs, nonprofits, and/or multi-laterals focused on public and/or global health
• Professional proficiency in at least one of French, Portuguese, Arabic, or Swahili
• Proficiency in the development and use of AI agents
• In depth knowledge of machine learning principles and methods
• Familiarity with issues of public health in African settings

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 and CV 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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