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Associate Specialist, Modelling & Reporting - GL C - Defined Duration until December 2029

theglobalfund5 open roles

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Geneva
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Your applicationOpen nowAssociate Specialist, Modelling & Reporting - GL C - Defined Duration until December 2029theglobalfund · Geneva
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The clock on this job

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14.0% of postings close within 7 days. Measured by our own scanner across the market. theglobalfund postings stay open a median of 15 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 14.0%7 days
  4. 22.5%14 days
  5. 38.3%30 days
  6. 59.0%60 days
This job: posted today

theglobalfund median: 15 days open

The posting

Associate Specialist, Modelling & Reporting - GL C - Defined Duration until December 2029

Reporting to the Manager, Allocation and Modelling, the Associate Specialist supports the development and implementation of the Global Fund impact modelling agenda in close collaboration with the technical partners and relevant teams within the Global Fund Secretariat. The role will provide modelling and reporting support, working with a wide range of internal and external stakeholders and experts to ensure a high quality. This includes up-to-date estimates of past and projected disease burden (e.g. incidence of prevalence and mortality) and impact (e.g. deaths, infection, case or DALY averted and return in investment) of Global Fund investments. This role ensures these are made available in a timely fashion and appropriate format to inform corporate policy discussions, the development of Global Fund strategy programmatic and impact targets and Investment Cases, Results Reports, corporate KPI reporting, and other needs. The Associate Specialist will also contribute to a wide range of analytical work in measuring and reporting on programmatic results, performance and impact through modelling and analytical approaches.

Key Responsibilities

  • Provides modelling and reporting support including innovative thinking in setting and implementing the Global Fund impact modelling agenda
  • Supports the consolidation, analysis, and reporting on impact of Global Fund investments using various metrics and for various deliverables, incl. the development and cascading of Global Fund strategy targets, the Global Fund Investment Case, KPI reporting and the Global Fund Results Report.
  • Supports consultation processes with key stakeholders Supports the drafting of s modelling scenarios tailored to the specific needs and ensures their quality implementation
  • Provides high-quality input data to the modelers
  • Supports the Allocation and Modelling team in ensuring that impact measures are accessible to the relevant stakeholders through corporate dashboards and other means and ensures accompanying guidance and tools to describe the methods, potential uses, and the caveats are disseminated, and capacity built with internal teams
  • Supports the team to ensure auditable high-quality archiving of the methods documents, input and output data as well as actual models and key assumptions and parameters
  • Supports the process of ensuring that Global Fund methods for impact modelling more accessible to the relevant audience through drafting the method section of the Investment Case, Results Reports, KPI reporting as well as peer-reviewed journal articles
  • Supports strategic information analysis and produces data products for assessing programmatic results, performance and impact of the national programs as assigned by the Manager, Allocation, and Modelling.
  • Prepares high-quality analyses, visualizations and reports to facilitate high-level Board and Committee decision making and present to the Board and Strategy Committee on allocation policy discussions and decisions;

Subject to change by the Executive Director at any time at their sole discretion.

Qualifications

Essential:

  • First university degree in disease transmission modelling, biostatistics and/or a relevant field.

Desirable:

  • Additional qualifications in any of the relevant areas of technical expertise.

Experience

Essential:

  • Solid experience in modelling using statistical or disease transmission models and data analysis
  • Proven technical expertise in existing impact modelling software, including Spectrum Goals/AIM, AEM, TIME, Imperial malaria model
  • Experience engaging and influencing stakeholders for collaboration as well as networking in a complex environment.
  • Demonstrated experience in effectively communicating and simplifying complex information across a range of materials, tailored to diverse audiences. Experience in strategy and policy analysis, program planning and management, and/or equivalent experience
  • Solid understanding and experience of strategic, organizational, and management issues.
  • Proven proficiency in statistical analysis packages such as R, SAS, STATA, Python
  • Demonstrated partnership skills and ability to build and maintain relations with technical partners
  • Experience applying structured problem-solving to support implementation
  • Proven ability to quickly process, absorb and apply new information in a complex technical environment.
  • Proven ability to quickly process, absorb and apply new information in a complex technical environment

Desirable:

  • Over 2 years of relevant work experience
  • Solid understanding of Global Fund processes
  • Global public health, international development or non-profit experience preferable in a developing country.

Competencies

Languages:

An excellent knowledge of English and preferably a good working knowledge of French. Knowledge of other languages would be an asset.

Functional Competencies:

  • Analytical - Expert
  • Business – Mastery
  • Due Dilligence – Foundation
  • Project Management – Foundation

The Global Fund recruits top-tier talent for our open positions, in support of our mission to end AIDS, tuberculosis and malaria as epidemics.

Explore our vacancies and apply on the Global Fund Careers recruitment system.

More information on working at the Global Fund is available on the Careers section of our main website.

Job Posting End Date

29 November 2026

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