Disclaimer: We currently do not have funding for this position. The position has been posted in anticipation of securing funding, which we expect will soon be available, and this disclaimer will be removed once funding has been secured. Please keep this in mind during the application process

The Role

The Analytics team at AHADI is looking for great people with strong quantitative skills and an interest in using modeling and analytics to support priority-setting and decision-making in countries with high disease burden. This position will have a primary work area of building geospatial and statistical models to understand disease burden and intervention impact in the context of national malaria programs’ strategic planning and prioritization processes, with potential secondary work areas in geospatial analysis of broad health sector data and health emergencies data.

We are looking for a scientist with strong scripting skills, a keen curiosity, and a proactive approach to solving problems. Previous malaria or infectious disease experience is a plus, but not required. Previous experience with public health data is not required if the applicant can demonstrate a strong track record of learning new skills.

AHADI’s analytics team analyzes field, trial, survey, and routine health system 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 Geospatial Modeler to develop and apply geospatial and statistical models to

Primary responsibilities include:

• Analyzes geospatial data and builds models to understand spatio-temporal distribution of disease burden, its determinants, and their relationships
• Prepares reports and presentations to effectively communicate methods and findings to stakeholders, including ministries of health and other partners
• Trains, supervises, and collaborates with partner individuals and institutions to support upskilling of local public health analytics talent

Other responsibilities may include:

• Integrates geospatial and mathematical modeling approaches to build new modeling systems
• Applies mathematical models to predict intervention impact
• Supports multiple AHADI initiatives as needed across the data and 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 a quantitative field (e.g. Statistics, Epidemiology, Geography, Applied Mathematics, Computer Science)
• Experience with geographical information systems (GIS) and geospatial modeling
• Experience working with remote sensing data, survey data, and/or routine surveillance data
• Experience building spatio-temporal models, predictive models, Bayesian models, and/or machine learning models

Preferred Qualifications

• Experience working with infectious disease data and/or models, including mathematical models
• Experience working with ministries of health or public health departments
• Published articles in peer-reviewed scientific journals

Minimum Competencies

• Proficiency in R and ArcGIS/QGISProficiency in data visualization, including making maps
• Clear and effective communication of quantitative work to non-experts
• Ability to think beyond maps and flexibly adapt data structures to meet the needs of multiple analyses, not only geospatial analyses
• 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 English and French
• Familiarity with Python
• Familiarity with issues of public health in African settings
• Ability to flexibly take on data, analysis, and modeling tasks with changing team priorities

Hiring Requirements

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

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.