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Recruitment at World Health Organization (WHO)

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Recruitment at World Health Organization (WHO)

Recruitment at World Health Organization (WHO)

World Health Organization (WHO) is the directing and coordinating authority for health within the United Nations system. It is responsible for providing leadership on global health matters, shaping the health research agenda, setting norms and standards, articulating evidence-based policy options, providing technical support to countries and monitoring and assessing health trends.

We are recruiting to fill the position below:

Job Title: Consultant – Recognition of Learning Achievement in Continuing Education for Health and Care Worker

Job ID: 2409456
Location: Offsite: Home-based
Contractual Arrangement: External consultant
Contract Duration: 6 months
Organization: HQ/HWP HRH Policies and Standards UHL
Travel: The consultant will be required to travel

Purpose of consultancy

  • A consultant is sought to develop draft Global standards to recognize learning achievement in continuing education for health and care workers.

Background

  • Continuing education, including continuing professional development (CPD) and continuing medical education (CME), is vital for maintaining the competence of all health and care workers, ensuring they remain updated with evidence-based clinical guidelines, essential for the optimization of patient safety and quality of care.
  • Yet, there are significant disparities in the availability and delivery of quality continuing education, and systems to recognise learning achievement across countries.
  • While education and learning in the health economy has increasingly adopting competency-based approaches in its design and delivery, the landscape of micro-credentials that represent the outcomes of learning are of varying scale and often rooted in time-based awards based on participation rather than learning achievement.
  • Global standards to recognize learning achievement do not yet exist in a form that is relevant across occupations and geographies.
  • This contributes towards challenges in the efficiency, quality, optimization and impact of education and learning investments for a fit-for-purpose workforce.
  • WHO, together with UN partner organizations, plans to develop standards to recognize learning achievement for health and care workers, covering formal education, non-formal education, and informal learning.
  • These standards aim to address disparities in the quality of continuing education across diverse occupations and geographies, by leveraging principles of adult learning theory, and be compatible with digitally-enabled systems such as micro-credentials or digital passports.

Deliverables:

  • Deliverable 1: Consensus on the concept note, topic areas and initial descriptions
    • Activity 1.1: Thematic analysis of literature review to inform the topic areas and descriptions*
    • Activity 1.2: Consultation with key stakeholders and experts on the concept note, topic areas and descriptions

NB * A literature review has been conducted and the results will be provided to the appointed consultant.
Expected by: March 2025

  • Deliverable 2: Facilitate technical discussions with a Technical Expert Group, stakeholders and other subject matter experts
    • Activity 2.1: Provide orientation for new and potential members to the work
    • Activity 2.2: Prepare technical documents and other written materials to inform engagement, consultation, feedback, discussion and consensus
    • Activity 2.3: Facilitate meetings and consultations with Technical Expert Group members, stakeholders and other subject matter experts

Expected by: July 2025:

  • Deliverable 3: Zero draft standards and implementation guidance
    • Activity 3.1: Consultation on the template for the standards
    • Activity 3.2: Coordinate the approach to building the evidence base to underpin implementation guidance
    • Activity 3.3: Preparation of a zero draft standards and an annotated outline of the implementation guidance for consultation

Expected by: July 2025:

Qualifications, experience, skills and languages
Educational Qualifications
Essential:

  • Advanced university degree relevant to health workforce, health worker education and training and/or public health.

Experience
Essential:

  • Over 10 years of experience in:
    • Development and implementation of norms, standards and global guidance for health worker education
    • Competency-based continuing education design principles, development and delivery
    • Facilitating partnership mechanisms and collaborations
    • Applied secondary research approaches including thematic analysis

Skills/Knowledge
Essential:

  • Best practices in competency-based continuing education design and delivery in health
  • The challenges and approaches to health worker education and training in different contexts (high and low-income settings, digital, blended/hybrid and face to face, short courses and programmes)
  • Regulatory frameworks and standards relating to continuing education design, delivery and recognition, ideally as it relates to health
  • Stakeholder landscape for the recognition of learning achievement, ideally as it relates to health
  • Approaches to partnership building for the development of technical policies, norms and standards
  • Commitment to continuous quality improvement

Languages and levels required:
Essential:

  • Expert knowledge of English.

Remuneration
Band level C: USD 500 – 625 per day.

Application Closing Date
24th December, 2024.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Consultant – Artificial Intelligence Specialist

Job ID: 2409669
Location: Offsite: Home-based
Contractual Arrangement: External consultant
Contract Duration: 11 months
Organization: EU/CPS Division of Country Health Policies and Systems
Travel: The consultant will be required to travel

Purpose of consultancy

  • To enhance the capacity of the Data, Evidence and Digital Health (DDH) programme and support its work, a roster of qualified specialists/consultants in artificial intelligence (AI) is being established.
  • This roster will feature a diverse group of experts, representing various technical domains, regions, genders, and levels of experience.
  • In this context, AI encompasses all current and emerging domains and sub-domains, including but not limited to Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Expert Systems, Robotics and Data Science.
  • These areas will be applied across various health contexts, such as clinical diagnosis and decision support, care delivery, health promotion, health systems, health information systems, and public health.

Background  

  • Strengthening Digital Health is a key priority identified in the European Programme of Work (EPW)1.
  • The Data, Evidence and Digital Health Programme (DDH), part of the Division of Country Health Policies and Systems (CPS) at the WHO Regional Office for Europe (WHO Europe), coordinates the digital health flagship. It provides technical and policy guidance on the safety and efficacy of digital health solutions while ensuring that health equity, gender equality, equity and human rights remain central in their implementation.
  • Through its work, the DHH supports countries to leverage the use of digital technologies to improve the interface between people and health services, enhance health system performance, and strengthen critical public health functions, including disease surveillance, early warning, and risk assessment.
  • The DDH unit also monitors and measures progress toward achieving the Sustainable Development Goals (SDGs) and the Triple Billion Goals, while developing and implementing a measurement framework for the EPW. It offers strategic direction, technical assistance, and tailored support to countries to strengthen their capacity to generate timely, credible, reliable, and actionable data.
  • Additionally, the unit seeks to develop new approaches and methodologies for the use of new digital technologies in healthcare, such as telemedicine and big data, to complement traditional methods for measuring and monitoring health status and health system performance.
  • The key priorities for the DDH unit are outlined in the Regional Digital Health Action Plan for the WHO European Region 2023–2030 (RC72)2.

Deliverables

  • Experts on the roster will collaborate with WHO Europe technical units, country offices, and partners to support the development of data and digital health products, with a particular focus on AI implementation across the identified health contexts.
  • They will provide consultancy to strengthen all areas relevant to and impacting the implementation of responsible and ethical AI at the national level for countries of the WHO European Region.
  • This includes expertise across a range of socio-political, technical, and operational aspects of AI in health, such as:
    • AI strategy, policy, governance, legislation, regulation, and financing
    • National and cross-border sourcing for training, testing, and validating AI models
    • Application of standards and data quality measures to AI, facilitating its reliability, accuracy and transparency
    • AI computing architectures (native, cloud and quantum computing)
    • Security of AI systems
    • Research, ethics, gender, equity, and human rights considerations in AI operations

In achieving the scope of work outlined in the objectives above, the consultant will deliver a portfolio of the following products and activities tailored on a case-by-case basis to an individual request for support made by the DDH programme:

  • Provide assistance to the Data and Digital Health Programme and WHO Country Offices on strengthening AI strategy and governance in countries, including:
  • Support the development of policies and guidelines related to the ethical and responsible use of AI in health, in alignment with WHO’s strategic objectives;
  • Conduct assessments that evaluate existing and proposed strategy/policy/action plans of AI along with situational analyses and baseline evaluation of AI implementations;
  • Conduct mapping and analysis of existing and proposed governance models, along with the regulatory and legislative frameworks for AI, in the WHO European Region;
  • Provide expert and specialized advice and technical leadership on attainment of programme objectives and execution options, developing concrete proposals and implementation plans for concrete actions;
  • Conduct research and analysis on emerging trends, opportunities, and challenges in the field of AI and health to inform policy development;
  • Provide technical guidance and support related to the development, implementation, monitoring and evaluation of AI services and applications and their integration into existing national health systems and public health environments, including:
  • Provide support and guidance to implementing teams in the country to ensure the success of implementation and scale-up of AI activities;
  • Provide technical assistance and support to countries in developing their own AI strategies and frameworks for health.
  • Provide guidance to countries on the development of regulatory and legislative frameworks supporting the implementation and scaling of AI and that enshrine gender, equity and human rights.
  • Support implementation of capacity-building activities in countries to strengthen knowledge of AI, and the data and data subsystems used to train, test and validate AI. This includes:
  • Design and/or delivery of capacity-building workshops in countries to address the planning, implementation, management, resource requirements, governance and integration of AI as part of national health system transformation programmes;
  • Develop and deliver training programs, workshops, and capacity-building initiatives to enhance understanding of AI technologies among WHO staff and Member States;
  • Promote and strengthen collaboration for AI with partners operating at the national and regional level and through multi-country / multi-stakeholder AI networks hosted by WHO Europe. This includes:
    • Collaborate with internal and external stakeholders, including governments, academia, industry partners, and civil society organizations, to gather input and build consensus on AI policy priorities;
    • Support with organizing and facilitating events and workshops for strengthening cooperation and collaboration between experts and stakeholders in the field of AI and foster international cooperation and collaboration as well as the exchange of expertise;
    • The exact format of each individual support request is to be agreed on a case-by-case basis between CPS/DDH and the consultant prior to the commencement of any work.

Qualifications, experience, skills and languages
Educational Qualifications
Essential:

  • First university degree in science/computer science/data science, digital health, public health or medical informatics.

Desirable:

  • Relevant AI specialized training and/or additional university degree in any of the above fields.

Experience
Essential:

  • Minimum of five years combined national and international work experience in designing, implementing, managing and/or assessing health AI programmes and services including the design and implementation of strategy and policy for AI in health.

Desirable:

  • Experience in management and oversight of complex AI and/or enterprise digital service implementation and operation in large-scale healthcare or public health environments.
  • Experience in designing and conducting workshops for a multi-stakeholder audience.
  • Experience in public health or working with health ministries in delivering rolling programmes of work to achieve national health policy objectives.

Skills/Knowledge
Essential:

  • Technical knowledge of one or more AI domains/sub-domains
  • Expertise in the assessment, planning, development, and implementation of digital transformation projects and programmes for national health systems and AI solutions.
  • Knowledge of how to integrate gender, equity, and human rights considerations into digital environments and AI solutions.
  • Strong communication and stakeholder management skills.
  • Knowledge of international regulations and directives affecting the design of AI solutions and the data subsystems supporting its training, testing and validation.

Desirable:

  • Knowledge of and/or certification in an internationally recognized project management methodology.
  • Ability to provide technical feedback and to engage senior health policymakers in constructive dialogue when needed.
  • Strong analytical skills to evaluate complex issues and assess conflicting opinions.
  • Excellent writing skills for developing clear and comprehensive assessment and recommendation reports.
  • Knowledge of public health principles, healthcare management, and health service delivery.
  • Experience working with national and international agencies involved in AI, data, and digital health.

Languages required:
Essential:

  • Expert knowledge of English

Desirable:

  • Working knowledge of Russian

Travel

  • The consultant may be expected to travel, as determined by funding availability and/or the specific work requested.

Remuneration and budget (travel costs are excluded)

  • Remuneration will depend on the nature of work including in terms of responsibilities, complexity, required degree of specialization by the work to be performed.
  • It will also depend upon the knowledge, qualifications, experience and skills required and applied in accordance with WHO’s national or international consultant’s pay band ranges.

Application Closing Date
11th Feburary, 2025.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Consultant – Health Inequality Monitoring Analysis

Job ID: 2409390
Location: Offsite: Home-based
Contractual Arrangement: External consultant
Contract Duration: 5 months
Organization: HQ/MFI Monitoring, Forecasting & Inequalities
Travel: The consultant will be required to travel

Purpose of consultancy

  • The WHO Health Inequality Monitoring team in the Department for Data and Analytics (DNA) in Geneva is seeking a consultant to provide analytical support for global health inequality monitoring.

Background

  • Monitoring health inequalities and their drivers is crucial to achieve health equity, which is a key element of the 2030 Agenda for Sustainable Development aspiration to “leave no one behind” as well as the World Health Organization’s 13th General Programme of Work (GPW 13). Health inequality monitoring is vital for tracking progress towards universal health coverage to ensure that disadvantaged populations achieve accelerated gains alongside overall improvement in the broader population, thus narrowing coverage gaps.
  • The health inequality monitoring team at the World Health Organization has developed a package of tools and resources to support inequality monitoring at global and national levels, including a health inequality monitoring handbook, two step-by-step manuals, the Health Inequality Data Repository, and the Health Equity Assessment Toolkit. WHO has substantial experience in developing inequality monitoring tools as well as in building capacity in this area among countries. In addition, WHO conducts monitoring of health inequalities and produces global and national reports of the state of inequality in various health topics.
  • The team has a five-year strategy (2022-2027) that includes three strategic goals: (1) strengthening capacity for health inequality monitoring at country, regional and global levels; (2) generating the latest evidence on health inequality; and (3) developing and refining health inequality monitoring methods, tools, resources and best practices.

Deliverables:

  • Within the period of the contract, the consultant will contribute to:
    • Deliverable 1: Releasing the next edition of the Health Inequality Data Repository (HIDR): Analytical support required includes conducting data scoping to identify further data to include in the HIDR; and cleaning and processing identified datasets in the correct format for upload to the HIDR.
    • Deliverable 2: Developing a Global Health Inequality Monitoring Atlas (hereafter referred to as the “Atlas”) of country policies, capacities and resources for inequality monitoring, identifying health inequality monitoring gaps, needs, and solution options for accelerating countries’ capacities to monitor inequalities. Analytical support required involves analysing data collected from countries via a survey, and summarising and reporting the key findings.
    • Deliverable 3: Developing the first global report exploring the state of inequality in noncommunicable diseases (NCDs) and their risk factors. Analytical support required includes conducting data scoping; performing comprehensive statistical analysis of micro-level and disaggregated data; and summarizing and reporting findings.
    • Deliverable 4: Producing inequality-related evidence by conducting data analysis on inequalities in health, including but not limited to inequalities in immunization, involving data collation and preparation; analysis of datasets for inter-country comparisons of inequality across different sub-populations; data visualization of results; and contribution to technical writing of analytical reports and papers.
    • Deliverable 5: Supporting capacity-building activities related to health inequality monitoring in countries.

Qualifications, experience, skills and languages
Educational Qualifications
Essential:

  • University degree in public health, epidemiology, statistics, demography, health communication, health information science, data science, or related area.

Desirable:

  • Advanced university degree in public health, epidemiology, statistics, demography, health communication, health information science, data science, or related area.

Experience
Essential:

  • Up to 5 years’ experience in data analysis using a range of data sources on population health.
  • At least 2 years’ experience in data analysis related to health inequalities.
  • Experience in writing technical reports and papers, with at least 3 publications in peer-reviewed journals.
  • Experience in data management.

Skills/Knowledge
Essential:

  • Strong understanding of research methods and epidemiological, demographical and statistical principles.
  • Excellent knowledge of Stata or R.
  • Good knowledge of data visualisation techniques and software packages such as Tableau, R or similar.
  • Excellent written and verbal communication skills and attention to detail.
  • Knowledge of the topic of health equity, health inequality monitoring, and equity analysis.
  • Good knowledge of MS Office including SharePoint, Teams, Word and Excel.
  • Ability to work independently and remotely in multidisciplinary and multicultural settings.

Languages and level required
Essential:

  • Expert knowledge of English.

Remuneration and budget (travel costs are excluded)

  • Band level A: USD 198 – 349 per day or USD 3,955 – 6,980 per month.

Application Closing Date
24th December, 2024.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Consultant – Health Inequality Monitoring Technical Writing

Job ID: 2409389
Location: Offsite: Home-based
Contractual Arrangement: External consultant
Contract Duration: 5 months
Organization: HQ/MFI Monitoring, Forecasting & Inequalities
Travel: The consultant will be required to travel

Purpose of consultancy

  • The WHO Health Inequality Monitoring team in the Department for Data and Analytics (DNA) in Geneva is seeking a consultant to support with the conduct of literature reviews and the technical writing of reports, papers and other communication materials related to health inequalities.

Background

  • Monitoring health inequalities and their drivers is crucial to achieving health equity, which is a key element of the 2030 Agenda for Sustainable Development’s aspiration to “leave no one behind” as well as the World Health Organization’s 13th General Programme of Work (GPW 13). Health inequality monitoring is vital for tracking progress towards universal health coverage to ensure that disadvantaged populations achieve accelerated gains alongside overall improvement in the broader population, thus narrowing coverage gaps.
  • The health inequality monitoring team at the World Health Organization has developed a package of tools and resources to support inequality monitoring at global and national levels, including a health inequality monitoring handbook, two step-by-step manuals, the Health Inequalities Data Repository, and the Health Equity Assessment Toolkit. WHO has substantial experience in developing inequality monitoring tools as well as in building capacity in this area among countries. In addition, the WHO conducts monitoring of health inequalities and produces global and national reports on the state of inequality in various health topics.
  • The team has a five-year strategy (2022-2027) that includes three strategic goals: (1) strengthening capacity for health inequality monitoring at country, regional and global levels; (2) generating the latest evidence on health inequality; and (3) developing and refining health inequality monitoring methods, tools, resources and best practices.

Deliverables:

  • Within the period of the contract, the consultant will contribute to the following deliverables by conducting comprehensive literature reviews; summarizing the findings from data analysis; writing and editing report chapters; engaging with copywriting, proofreading, and layout/design during the production phase; and developing communication materials for dissemination.
    • Deliverable 1: Global, regional and national reports on the state of health inequality. This includes a global report exploring the state of inequality in noncommunicable diseases (NCDs) and their risk factors, and a global report on the state of health inequality.
    • Deliverable 2: A Global Health Inequality Monitoring Atlas of country policies, capacities and resources for inequality monitoring, identifying health inequality monitoring gaps, needs, and solution options for accelerating countries’ capacities to monitor inequalities.
    • Deliverable 3: Reports, journal articles and other communication materials related to inequality in immunization.
    • Deliverable 4: Reports, journal articles and other communication materials related to health inequalities and health inequality monitoring.

Qualifications, experience, skills and languages
Educational Qualifications
Essential:

  • Advanced university degree in public health, population health, epidemiology, health communication, health information science, or related area.

Desirable:

  • PhD in public health, population health, epidemiology, health communication, health information science, or related area.

Experience
Essential:

  • Over 10 years of experience in writing technical reports and papers related to health inequalities, with at least 10 first-author papers published in peer-reviewed journals.
  • Extensive experience in performing systematic literature reviews in the area of health inequalities.
  • Extensive experience in interpreting health inequality data using a range of data sources on population health.
  • Extensive experience in developing communication and dissemination materials for different audiences.
  • Experience in report publication processes, including management of copywriting, proofreading, indexing, layout/design, and dissemination.

Skills/Knowledge
Essential:

  • Excellent written and verbal communication skills and attention to detail.
  • Excellent knowledge of the topic of health equity and health inequality monitoring.
  • Clear understanding of research methods and epidemiological, demographical and statistical principles.
  • Good knowledge of MS Office including SharePoint, Teams, Word and Excel.
  • Ability to work independently and remotely in multidisciplinary and multicultural settings.

Languages and level required
Essential:

  • Expert knowledge of English.

Remuneration
Band level C: USD 500 – 625 per day or USD 10,000 – 12,500 per month.

Application Closing Date
24th December, 2024.

How to Apply
Interested and qualified candidates should:
Click here to apply online

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