Research and Data Analyst, Malaria and Neglected Tropical Diseases at PATH

PATH is an international organization that drives transformative innovation to save lives and improve health, especially among women and children. We accelerate innovation across five platforms-vaccines, drugs, diagnostics, devices, and system and service innovations-that harness our entrepreneurial insight, scientific and public health expertise, and passion for health equity.

Responsibilities:

The person will be working with the Malaria Control and Elimination Partnership in Africa (MACEPA) project at PATH, national malaria control programs, the Global Fund, and World Health Organization to support the use of modelling to inform optimal sub-nationally tailored malaria strategies. This will involve:

• Collating and analyzing a wide range of data to understand the epidemiological characteristics of different malaria geographies and the programmatic and operational constraints facing national malaria control programs


• Applying mathematical models of malaria transmission to answer questions around optimal and cost-effective intervention implementation


• Working closely with national malaria control programs and other partners to forge new collaborations and iteratively produce outputs to support in-country decision making


• Write technical and non-technical reports, produce high quality graphics, and present outputs at meetings and international conferences

Future projects within the malaria portfolio at PATH will include evaluating malaria interventions, designing and analyzing trials, modelling to support national decision making, developing user-friendly analytical tools and dashboards for decision makers to use.

Requirements

Required Experience

• PhD or Masters in infectious disease modelling, or related field with a strong quantitative focus and a demonstrated analytical, mathematical or statistical background


• If master’s level, experience conducting mathematical modeling, epidemiological or data analyses in a professional setting for 2+ years


• Experience using R, especially skills in statistics, data cleaning, data visualization in tidyverse packages, stochastic or deterministic modelling packages


• Experience developing and using infectious disease transmission models


• Excellent verbal, written and communication skills in English


• Working knowledge of GIS software, either ArcGIS, qGIS etc. or mapping packages within R


• Ability to engage in domestic/international travel estimated at 20% annually

Preferred candidates will have:

• Experience working with global health organizations in LMICs


• Experience presenting research at international conferences and meetings


• Experience writing scientific reports and manuscripts for publication


• Experience developing dashboards and complex data vizualisations (R, Tableau, RShiny etc.)


• Experience using collaborative software development platforms (i.e. Github – please share a link in your application if applicable)


• Working proficiency in French verbal and written communication skills.

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