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Consultant: Clinical Expert
Dtree · Lilongwe, Plot Area 13/92, 207201, Malawi · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Dtree |
| Title | Consultant: Clinical Expert |
| Normalized title | - |
| Department / team | Program |
| Location | Lilongwe, Plot Area 13/92 |
| Work model | Remote / Remote |
| Employment type | Contract |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-06 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
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| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Dtree. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Lilongwe. | Open |
| Department jobs | Active postings in Program. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Dtree |
| Source | c3063d77-acb6-4c2c-a329-b5001ab10422 |
| ATS provider | BambooHR |
Description
1. Background
D-tree International, in partnership with the Government of Malawi, is designing an intervention to strengthen the continuum of care for maternal and newborn health. The intervention aims to strengthen linkage, referral, and counter-referral between community and facility levels, ensuring that pregnant women, mothers, and newborns are identified early, appropriately assessed, correctly treated, and reliably followed up across the care continuum.
D-tree is seeking a clinical expert to provide technical guidance during the intervention design phase. The expert will bring clinical evidence to define what quality care looks like at each level of the maternal and newborn care journey–including screening, counseling, assessment, treatment, and follow-up–and identify where the current pathway falls short. This includes pinpointing where care quality breaks down, what improvements are needed, and which health outcome indicators are both a priority for improvement and realistically influenced by the intervention. D-tree will work with the clinical expert throughout the engagement alongside MOH clinicians, and then lead the translation of clinical inputs into intervention design decisions, including revising workflows and guidance in health worker digital tools.
Note: D-tree is in the process of selecting a specific clinical focus area within maternal and newborn health–for example, care for women with high-risk pregnancies or management of premature or low birthweight newborns–for this collaborative care initiative in Malawi. We will select the specific focus area prior to the consultant beginning their work. This SOW references maternal and newborn health broadly as a placeholder, but the consultant's work will be scoped to the selected focus area once confirmed.
2. Objective
To provide the clinical evidence base and expert judgment D-tree needs to design an intervention grounded in best practices and quality service delivery at the community and primary health facility levels across the maternal and newborn care journey. In addition to supporting intervention design and clinical quality, the expert will clearly define health outcome indicators that demonstrate impact on maternal and newborn health, health system cost savings, and patient or caregiver experience. The expert will work in coordination with a health economist to link clinical indicators to quantifiable cost implications, and with a patient experience expert to ensure the care pathway is designed to improve the experience of women and their caregivers.
3. What We Need From the Clinical Expert
The clinical expert provides specialized clinical knowledge. D-tree will synthesize these inputs with findings from the health economist and patient experience expert to produce the final intervention design.
A. Review and Validation of Clinical Protocols
Review existing D-tree and MOH protocols for community-level maternal and newborn assessment, classification, and referral. Are they aligned with current WHO guidelines and best practices? Where are the gaps?
What clinical criteria should trigger referral from community to facility level, and what are appropriate thresholds for danger signs as defined by Malawi MOH guidelines?
What clinical criteria should trigger referral to a higher-level facility?
What pre-referral actions (if any) should HSAs be authorized and equipped to take, and what are the clinical risks and benefits?
What does an evidence-based management protocol look like at the facility level for both patients who attend the facility directly and for maternal and newborn cases referred from the community?
B. Identifying Where Collaborative Care Could Have the Greatest Impact
Once the clinical focus area is confirmed, the clinical expert will review the Malawi-specific evidence to understand the landscape of complications, challenges, and care gaps within that area–and identify where HSAs and facility providers could most meaningfully drive change through improved service delivery and collaboration.
What are the leading causes of poor outcomes for women and newborns within the selected focus area in Malawi? Where in the care pathway are complications and deaths most commonly occurring or is there a missed opportunity for prevention–at community level or at facility?
What are the most critical clinical challenges and bottlenecks within this focus area, and what does the evidence say about how they are best addressed in similar low-resource settings?
Where are the gaps in coordination between HSAs and facility providers most significant for this population? What does improved collaboration look like in practice, and where could it most meaningfully change outcomes?
For this population, which points in the care pathway present the greatest opportunity for earlier identification, better management, or more effective follow-up–and what would HSAs and facility providers each need to do differently?
What evidence exists from comparable settings on the effectiveness of collaborative care models for this specific population or condition area?
C. Identifying Critical Failure Points in the Care Pathway
Note: Findings from the patient experience expert's formative work with women and caregivers should be reviewed alongside the clinical analysis below. A joint review of clinical failure points and caregiver-reported experience gaps will produce a more complete picture of where the care pathway breaks down. D-tree will lead the synthesis of both perspectives into integrated design decisions.
What are the critical clinical decision points in the maternal and newborn care pathway where errors or delays most commonly occur in Malawi?
What are the known clinical causes of poor outcomes in similar settings, and which are most relevant to the Malawi context?
At the facility level: What training gaps, supervision gaps, workflow issues, or resource constraints typically contribute to these failures?
At the community level: What HSA protocol gaps, assessment limitations, or referral process issues contribute to these failures?
At the interface between community and facility: Where does the handoff between HSAs and facility providers currently break down? What information should flow in each direction at referral and after a facility visit? What does the clinical evidence suggest about mechanisms–such as shared records, bi-directional notifications, or closed-loop referral tracking–that create meaningful continuity?
What evidence exists from comparable settings on the effectiveness of specific interventions (training, supervision, checklists, digital decision-support tools) in addressing these failure points?
D. Defining Measurable Health Outcome Indicators
Note: This section requires close collaboration with the health economist to ensure each clinical indicator is linked to its cost implications and that the final indicator set reflects both clinical impact and quantifiable cost savings.
What are the most appropriate and feasible health outcome indicators to measure the intervention's impact on maternal and newborn health? Consider:
Maternal and neonatal mortality rates
Complication rates (e.g., postpartum hemorrhage, sepsis, birth asphyxia)
Referral completion rate and timeliness
Postnatal follow-up rates for high-risk mothers and newborns
Time from danger sign identification to appropriate treatment
Feasibility and influence: For each proposed indicator, can an intervention of this type realistically influence it? What would need to be in place–in terms of protocols, training, and tools–to move it?
Causal pathway: For each priority indicator, what is the chain from intervention activities to the expected outcome? Where are the weakest links?
Cost linkage (with health economist): For each clinical indicator, what are the cost implications of improvement? Which indicators, if improved, would generate the most significant cost savings for the health system?
What baseline data or benchmarks exist for these indicators in Malawi?
Which indicators can be feasibly measured through routine digital health data collection, and which require supplementary data collection?
How should we define and measure continuity of care from a clinical perspective–what does a completed care episode look like for a high-risk pregnant woman or vulnerable newborn?
E. Informing Future Evaluation Design
A formal baseline evaluation is anticipated in 2027, ahead of piloting the collaborative care model. While the clinical expert will not be expected to collaborate directly with an evaluation partner at this stage, their input will be valuable in anticipating what a rigorous evaluation of this intervention would require. The expert should be available to advise D-tree on:
How health outcome indicators should be operationalized for a future evaluation, including baseline and endline assessments
What clinical data sources are most reliable in the Malawi context, and what limitations to account for
4. Deliverables
Written review of existing clinical protocols with specific recommendations for refinement
Identification of critical failure points in the care pathway–at facility level, community level, and the interface between them–including supporting evidence on what works to address each, and concrete recommendations for how HSAs and facility providers should collaborate differently in practice, including:
What each cadre needs to do
Where workflows need to change
What information should flow in each direction at referral and post-facility follow-up, and
Where the greatest opportunities lie for earlier identification, better management, and more effective follow-up for the selected population
Recommended set of health outcome indicators with definitions, data sources, measurement feasibility notes, and assessment of causal pathway strength
Joint memo with health economist linking priority clinical indicators to cost implications and quantifiable savings potential
Advisory input to D-tree on health outcome indicators, data sources, and considerations for future evaluation design
5. Expert Profile
Medical doctor or clinical specialist with expertise in maternal health, newborn health, or primary health care in low-resource settings
Experience with community health systems and task-shifting approaches, ideally in Malawi or Southern or Eastern Africa
Familiarity with WHO guidelines for maternal and newborn care, including ANC, postnatal care, and management of high-risk pregnancies and newborns
Experience defining clinical outcome measures for program design and evaluation
Experience in Malawi or similar contexts preferred; familiarity with the Malawi health system and HSA cadre an advantage
6. Level of Effort and Timeline
Estimated 15 days from June-July 2026. Engagement will include remote consultations and fieldwork in Malawi (approximately 5-7 days).
7. Budget Requirements
The consultant will submit a proposed budget as part of the application, which will be reviewed and approved by D-tree. Please include a simple budget of your daily rate (if a group is applying, please list each individual and their individual daily rates) and the number of days. If applicable, any other anticipated costs should be specified. D-tree will cover costs of fieldwork directly–these costs should not be included in the proposed budget.
8. Application
To apply for this role, please submit your application through this link .
Upload your CV in the CV section
Upload your cover letter and budget in the Cover Letter section
Please note that by applying to this position, you consent to your name being checked against a terrorist watch list prior to any consultancy engagement. Deadline for submitting applications: May 15, 2026.
Full job record
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| Org ID | d3ddd93e-d3f8-40e1-baf7-b2bb27d6aa53 |
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| Board ID | c3063d77-acb6-4c2c-a329-b5001ab10422 |
| Provider | bamboohr |
| Provider Job Key | 51 |
| Title | Consultant: Clinical Expert |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Lilongwe, Plot Area 13/92, 207201, Malawi |
| Department | Program |
| Team | — |
| Employment Type | contract |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | — |
| Region | Plot Area 13/92 |
| City | Lilongwe |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://dtree.bamboohr.com/careers/51 |
| Apply URL | https://dtree.bamboohr.com/careers/51 |
| First Seen At | 2026-05-30 06:04:23Z |
| Last Seen At | 2026-06-06 10:25:10Z |
| Last Checked At | 2026-06-06 10:25:10Z |
| Last Changed At | 2026-05-30 06:04:23Z |
| Inactive At | — |
| Source Posted At | 2026-05-06 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=dtree/date=2026-06-06/2026-06-06T10-25-09-565Z-428b7d7a5b6571649ae26f9af5e55620be9e8e321a8f2ce8c7ca81246094d9f7.json |
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"description": "<p><span style=\"color: rgb(27, 94, 123); font-size: 12pt; font-weight: bold\">1. Background</span></p>\n<p><span style=\"font-size: 10pt\">D-tree International, in partnership with the Government of Malawi, is designing an intervention to strengthen the continuum of care for maternal and newborn health. The intervention aims to strengthen linkage, referral, and counter-referral between community and facility levels, ensuring that pregnant women, mothers, and newborns are identified early, appropriately assessed, correctly treated, and reliably followed up across the care continuum. </span></p>\n<p><span style=\"font-size: 10pt\">D-tree is seeking a clinical expert to provide technical guidance during the intervention design phase. The expert will bring clinical evidence to define what quality care looks like at each level of the maternal and newborn care journey–including screening, counseling, assessment, treatment, and follow-up–and identify where the current pathway falls short. This includes pinpointing where care quality breaks down, what improvements are needed, and which health outcome indicators are both a priority for improvement and realistically influenced by the intervention. D-tree will work with the clinical expert throughout the engagement alongside MOH clinicians, and then lead the translation of clinical inputs into intervention design decisions, including revising workflows and guidance in health worker digital tools. </span></p>\n<p><span style=\"font-size: 10pt\">Note: D-tree is in the process of selecting a specific clinical focus area within maternal and newborn health–for example, care for women with high-risk pregnancies or management of premature or low birthweight newborns–for this collaborative care initiative in Malawi. We will select the specific focus area prior to the consultant beginning their work. This SOW references maternal and newborn health broadly as a placeholder, but the consultant's work will be scoped to the selected focus area once confirmed.</span></p>\n<p><span style=\"color: rgb(27, 94, 123); font-size: 12pt; font-weight: bold\">2. Objective</span></p>\n<p><span style=\"font-size: 10pt\">To provide the clinical evidence base and expert judgment D-tree needs to design an intervention grounded in best practices and quality service delivery at the community and primary health facility levels across the maternal and newborn care journey. In addition to supporting intervention design and clinical quality, the expert will clearly define health outcome indicators that demonstrate impact on maternal and newborn health, health system cost savings, and patient or caregiver experience. The expert will work in coordination with a health economist to link clinical indicators to quantifiable cost implications, and with a patient experience expert to ensure the care pathway is designed to improve the experience of women and their caregivers.</span></p>\n<p><span style=\"color: rgb(27, 94, 123); font-size: 12pt; font-weight: bold\">3. What We Need From the Clinical Expert</span></p>\n<p><span style=\"font-size: 10pt\">The clinical expert provides specialized clinical knowledge. D-tree will synthesize these inputs with findings from the health economist and patient experience expert to produce the final intervention design.</span></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">A. Review and Validation of Clinical Protocols</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Review existing D-tree and MOH protocols for community-level maternal and newborn assessment, classification, and referral. Are they aligned with current WHO guidelines and best practices? Where are the gaps?</span></li>\n<li><span style=\"font-size: 10pt\">What clinical criteria should trigger referral from community to facility level, and what are appropriate thresholds for danger signs as defined by Malawi MOH guidelines?</span></li>\n<li><span style=\"font-size: 10pt\">What clinical criteria should trigger referral to a higher-level facility?</span></li>\n<li><span style=\"font-size: 10pt\">What pre-referral actions (if any) should HSAs be authorized and equipped to take, and what are the clinical risks and benefits?</span></li>\n<li><span style=\"font-size: 10pt\">What does an evidence-based management protocol look like at the facility level for both patients who attend the facility directly and for maternal and newborn cases referred from the community?</span></li>\n</ul>\n<p><span style=\"font-size: 10pt; font-weight: bold\">B. Identifying Where Collaborative Care Could Have the Greatest Impact</span></p>\n<p><span style=\"font-size: 10pt\">Once the clinical focus area is confirmed, the clinical expert will review the Malawi-specific evidence to understand the landscape of complications, challenges, and care gaps within that area–and identify where HSAs and facility providers could most meaningfully drive change through improved service delivery and collaboration.</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">What are the leading causes of poor outcomes for women and newborns within the selected focus area in Malawi? Where in the care pathway are complications and deaths most commonly occurring or is there a missed opportunity for prevention–at community level or at facility?</span></li>\n<li><span style=\"font-size: 10pt\">What are the most critical clinical challenges and bottlenecks within this focus area, and what does the evidence say about how they are best addressed in similar low-resource settings?</span></li>\n<li><span style=\"font-size: 10pt\">Where are the gaps in coordination between HSAs and facility providers most significant for this population? What does improved collaboration look like in practice, and where could it most meaningfully change outcomes?</span></li>\n<li><span style=\"font-size: 10pt\">For this population, which points in the care pathway present the greatest opportunity for earlier identification, better management, or more effective follow-up–and what would HSAs and facility providers each need to do differently?</span></li>\n<li><span style=\"font-size: 10pt\">What evidence exists from comparable settings on the effectiveness of collaborative care models for this specific population or condition area?</span></li>\n</ul>\n<p><span style=\"font-size: 10pt; font-weight: bold\">C. Identifying Critical Failure Points in the Care Pathway</span></p>\n<p><span style=\"font-size: 10pt\">Note: Findings from the patient experience expert's formative work with women and caregivers should be reviewed alongside the clinical analysis below. A joint review of clinical failure points and caregiver-reported experience gaps will produce a more complete picture of where the care pathway breaks down. D-tree will lead the synthesis of both perspectives into integrated design decisions.</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">What are the critical clinical decision points in the maternal and newborn care pathway where errors or delays most commonly occur in Malawi?</span></li>\n<li><span style=\"font-size: 10pt\">What are the known clinical causes of poor outcomes in similar settings, and which are most relevant to the Malawi context?</span></li>\n<li><span style=\"font-size: 10pt\">At the facility level: What training gaps, supervision gaps, workflow issues, or resource constraints typically contribute to these failures?</span></li>\n<li><span style=\"font-size: 10pt\">At the community level: What HSA protocol gaps, assessment limitations, or referral process issues contribute to these failures?</span></li>\n<li><span style=\"font-size: 10pt\">At the interface between community and facility: Where does the handoff between HSAs and facility providers currently break down? What information should flow in each direction at referral and after a facility visit? What does the clinical evidence suggest about mechanisms–such as shared records, bi-directional notifications, or closed-loop referral tracking–that create meaningful continuity?</span></li>\n<li><span style=\"font-size: 10pt\">What evidence exists from comparable settings on the effectiveness of specific interventions (training, supervision, checklists, digital decision-support tools) in addressing these failure points?</span></li>\n</ul>\n<p><span style=\"font-size: 10pt; font-weight: bold\">D. Defining Measurable Health Outcome Indicators</span></p>\n<p><span style=\"font-size: 10pt\">Note: This section requires close collaboration with the health economist to ensure each clinical indicator is linked to its cost implications and that the final indicator set reflects both clinical impact and quantifiable cost savings.</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">What are the most appropriate and feasible health outcome indicators to measure the intervention's impact on maternal and newborn health? Consider:</span>\n<ul>\n<li><span style=\"font-size: 10pt\">Maternal and neonatal mortality rates</span></li>\n<li><span style=\"font-size: 10pt\">Complication rates (e.g., postpartum hemorrhage, sepsis, birth asphyxia)</span></li>\n<li><span style=\"font-size: 10pt\">Referral completion rate and timeliness</span></li>\n<li><span style=\"font-size: 10pt\">Postnatal follow-up rates for high-risk mothers and newborns</span></li>\n<li><span style=\"font-size: 10pt\">Time from danger sign identification to appropriate treatment</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 10pt\">Feasibility and influence: For each proposed indicator, can an intervention of this type realistically influence it? What would need to be in place–in terms of protocols, training, and tools–to move it?</span></li>\n<li><span style=\"font-size: 10pt\">Causal pathway: For each priority indicator, what is the chain from intervention activities to the expected outcome? Where are the weakest links?</span></li>\n<li><span style=\"font-size: 10pt\">Cost linkage (with health economist): For each clinical indicator, what are the cost implications of improvement? Which indicators, if improved, would generate the most significant cost savings for the health system?</span></li>\n<li><span style=\"font-size: 10pt\">What baseline data or benchmarks exist for these indicators in Malawi?</span></li>\n<li><span style=\"font-size: 10pt\">Which indicators can be feasibly measured through routine digital health data collection, and which require supplementary data collection?</span></li>\n<li><span style=\"font-size: 10pt\">How should we define and measure continuity of care from a clinical perspective–what does a completed care episode look like for a high-risk pregnant woman or vulnerable newborn?</span></li>\n</ul>\n<p><span style=\"font-size: 10pt; font-weight: bold\">E. Informing Future Evaluation Design</span></p>\n<p><span style=\"font-size: 10pt\">A formal baseline evaluation is anticipated in 2027, ahead of piloting the collaborative care model. While the clinical expert will not be expected to collaborate directly with an evaluation partner at this stage, their input will be valuable in anticipating what a rigorous evaluation of this intervention would require. The expert should be available to advise D-tree on:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">How health outcome indicators should be operationalized for a future evaluation, including baseline and endline assessments</span></li>\n<li><span style=\"font-size: 10pt\">What clinical data sources are most reliable in the Malawi context, and what limitations to account for</span></li>\n</ul>\n<p><span style=\"font-size: 10pt; font-weight: bold\">4. Deliverables</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Written review of existing clinical protocols with specific recommendations for refinement</span></li>\n<li><span style=\"font-size: 10pt\">Identification of critical failure points in the care pathway–at facility level, community level, and the interface between them–including supporting evidence on what works to address each, and concrete recommendations for how HSAs and facility providers should collaborate differently in practice, including: </span>\n<ul>\n<li><span style=\"font-size: 10pt\">What each cadre needs to do</span></li>\n<li><span style=\"font-size: 10pt\">Where workflows need to change</span></li>\n<li><span style=\"font-size: 10pt\">What information should flow in each direction at referral and post-facility follow-up, and</span></li>\n<li><span style=\"font-size: 10pt\">Where the greatest opportunities lie for earlier identification, better management, and more effective follow-up for the selected population</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 10pt\">Recommended set of health outcome indicators with definitions, data sources, measurement feasibility notes, and assessment of causal pathway strength</span></li>\n<li><span style=\"font-size: 10pt\">Joint memo with health economist linking priority clinical indicators to cost implications and quantifiable savings potential</span></li>\n<li><span style=\"font-size: 10pt\">Advisory input to D-tree on health outcome indicators, data sources, and considerations for future evaluation design</span></li>\n</ul>\n<p><span style=\"font-size: 10pt; font-weight: bold\">5. Expert Profile</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Medical doctor or clinical specialist with expertise in maternal health, newborn health, or primary health care in low-resource settings</span></li>\n<li><span style=\"font-size: 10pt\">Experience with community health systems and task-shifting approaches, ideally in Malawi or Southern or Eastern Africa</span></li>\n<li><span style=\"font-size: 10pt\">Familiarity with WHO guidelines for maternal and newborn care, including ANC, postnatal care, and management of high-risk pregnancies and newborns</span></li>\n<li><span style=\"font-size: 10pt\">Experience defining clinical outcome measures for program design and evaluation</span></li>\n<li><span style=\"font-size: 10pt\">Experience in Malawi or similar contexts preferred; familiarity with the Malawi health system and HSA cadre an advantage</span></li>\n</ul>\n<p><span style=\"font-size: 10pt; font-weight: bold\">6. Level of Effort and Timeline</span></p>\n<p><span style=\"font-size: 10pt\">Estimated 15 days from June-July 2026. Engagement will include remote consultations and fieldwork in Malawi (approximately 5-7 days).</span></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">7. Budget Requirements</span></p>\n<p><span style=\"font-size: 10pt\">The consultant will submit a proposed budget as part of the application, which will be reviewed and approved by D-tree. Please include a simple budget of your daily rate (if a group is applying, please list each individual and their individual daily rates) and the number of days. If applicable, any other anticipated costs should be specified. D-tree will cover costs of fieldwork directly–these costs should </span><span style=\"font-size: 10pt; font-style: italic\">not</span><span style=\"font-size: 10pt\"> be included in the proposed budget. </span></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">8. Application</span></p>\n<p><span style=\"font-size: 10pt\">To apply for this role, please submit your application through this</span><a href=\"https://dtree.bamboohr.com/careers/51\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-size: 10pt\"> link</span></a><span style=\"font-size: 10pt\">.</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Upload your </span><span style=\"font-size: 10pt; font-weight: bold\">CV</span><span style=\"font-size: 10pt\"> in the </span><span style=\"font-size: 10pt; font-style: italic\">CV section</span></li>\n<li><span style=\"font-size: 10pt\">Upload your </span><span style=\"font-size: 10pt; font-weight: bold\">cover letter and budget </span><span style=\"font-size: 10pt\">in the </span><span style=\"font-size: 10pt; font-style: italic\">Cover Letter section</span></li>\n</ul>\n<p><span style=\"font-size: 10pt\">Please note that by applying to this position, you consent to your name being checked against a terrorist watch list prior to any consultancy engagement. Deadline for submitting applications: </span><span style=\"font-size: 10pt; font-weight: bold\">May 15, 2026.</span></p>",
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}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/4024ee0d11cdb5ee01d7b5ba8eae5980bbd2199e?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/d3ddd93e-d3f8-40e1-baf7-b2bb27d6aa53JSONGET https://api.bluedoor.sh/job-postings/v1/sources/c3063d77-acb6-4c2c-a329-b5001ab10422JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/4024ee0d11cdb5ee01d7b5ba8eae5980bbd2199e/eventsJSON