Monitoring, Evaluation, and Learning (MEL) Officer, Center for Vaccine Innovation and Access
PATH
Job Description
for introductory paragraphs and general text - Use
for section headers
- Use - for list items
- No CSS classes, no inline styles, no s, no
tags
- Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase
- If text has no clear sections, just wrap paragraphs in tags
- Return ONLY the HTML. No markdown fences, no explanation, no preamble.
Then there's a "Job description:" section with a lot of HTML-formatted text.
So the task is: Take the provided job description text, clean it according to the rules (but the rules here are about formatting as clean semantic HTML, not about removing social sharing etc. - though the "preserve ALL original content word-for-word" suggests I should keep everything, but remove the non-job stuff? Wait, the very first part of the prompt says "You are a job listing editor... REMOVE all of the following: ..." but then it switches to "You receive a plain-text job description. Your ONLY job is to format it as clean semantic HTML." and the rules there are about HTML tags, preserving content word-for-word, no markdown, etc.
Let me read the entire prompt again carefully.
The user message has two parts potentially? Actually, it's one continuous prompt. It starts with "You are a job listing editor. You receive raw scraped text from a job website. Your job is to extract ONLY the actual job information and return it in a clean, readable format." Then it lists what to remove and what to keep. Then it says "Return ONLY the cleaned job text. Do not add any commentary, headers like "Here is the cleaned version", or markdown formatting. Just the clean job listing text."
Then there's a new section: "You receive a plain-text job description. Your ONLY job is to format it as clean semantic HTML." with rules about
,
, - , no CSS, preserve all content word-for-word, return ONLY the HTML. No markdown fences, no explanation, no preamble.
Then "Job description:" followed by a big block of text that looks like scraped job posting HTML.
I need to figure out which set of instructions to follow. The very first part is the editor role with removal instructions. The latter part is the actual task with HTML formatting rules. The user probably wants me to do the HTML formatting task, but I need to handle the removal of extraneous stuff as well, OR just format the given text as clean semantic HTML preserving all content word-for-word.
Let me re-read the very first instruction: "REMOVE all of the following: - Social sharing text... - Author bylines... - "You may also like"... - Navigation text... - Comments sections... - Advertisements or promotions... - Cookie/subscription notices... - Duplicate text... - Category labels... - Stray numbers or formatting artifacts"
"KEEP and STRUCTURE: - Job title - Company/Organisation name - Location - Job description and responsibilities - Requirements/qualifications - How to apply / application instructions - Salary - Deadline / closing date - Job ID / reference number - Contract type / level"
"Return ONLY the cleaned job text. Do not add any commentary, headers like "Here is the cleaned version", or markdown formatting. Just the clean job listing text."
Then the second part says: "You receive a plain-text job description. Your ONLY job is to format it as clean semantic HTML. Rules: - Use
for introductory paragraphs and general text - Use
for section headers... - Use - for list items... - No CSS classes, no inline styles, no s, no
tags - Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase - If text has no clear sections, just wrap paragraphs in tags - Return ONLY the HTML. No markdown fences, no explanation, no preamble."
Then the Job description text.
I think the user wants me to take the job description text, remove the stuff listed in the first part (social sharing, bylines, etc.), and then format the remaining content as clean semantic HTML using the specified tags, preserving all original content word-for-word.
But wait: the first part says "Return ONLY the cleaned job text." and the second part says "Return ONLY the HTML. No markdown fences, no explanation, no preamble." They conflict slightly: one says just plain text, the other says HTML. But the overall prompt seems to combine both: first instructs to extract and clean job info, then says format as clean semantic HTML. The final job description text is given in HTML format already, but messy.
Let me look at the job description text. It starts with:
`
PATH current employees - please log in and apply Here
PATH is a global nonprofit...
`
It has a lot of PATH-specific content, responsibilities, required skills, etc. There's also a link at the beginning for "PATH current employees - please log in and apply" which is probably not part of the job info to keep. Also there are `` empty paragraphs, `
` tags, inline styles.
The rules for the HTML formatting say: "No CSS classes, no inline styles, no s, no
tags". So I need to strip inline styles and `
` tags, but preserve content. Also "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". That's tricky because I need to remove some parts (social sharing, etc.) but the "preserve all original content" might refer to the job content after removal. Actually, the first part says REMOVE specific things, KEEP specific things. The second part says preserve ALL original content word-for-word. There's a conflict. Which one to follow?
Let me read the prompt structure again. It might be that the user pasted two different prompts or the system prompt includes both. The actual task is likely: given the job description text, clean it (remove the stuff listed at the top), and format the remaining as clean semantic HTML with the specified tags, preserving content word-for-word.
But the "Preserve ALL original content word-for-word" from the second part might override the removal list, or maybe I need to do both: remove the listed junk, then format what's left as HTML, keeping all the job text word-for-word (i.e., don't paraphrase, just keep the exact words but strip the junk).
Let's examine the job description text to identify what to remove and what to keep.
The text:
```
PATH current employees - please log in and apply Here
PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.
PATH’s Center for Vaccine Innovation and Access (CVIA) brings together our expertise across every stage of the long and complex process of vaccine research, development, and delivery to make lifesaving vaccines widely available to children and communities across the world. CVIA’s current portfolio encompasses more than two dozen vaccines either in development or already in use to protect against fifteen different diseases. Our focus is on vaccines to address the leading diseases that claim children’s lives worldwide: pneumonia, diarrheal disease, and malaria; as well as other global health priorities, such as polio and meningitis. We work in partnership with national health ministries, pharmaceutical manufacturers, donors, international financing and regulatory organizations, and many others. PATH has led numerous global partnerships, including the award-winning Meningitis Vaccine Project and the Malaria Vaccine Initiative, which helped develop the first malaria vaccine candidate recommended for pilot implementation.
PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer who will support critical MEL practices to improve routine immunization coverage in 16 Local Government Areas (LGAs) of Kebbi State, Nigeria. The MEL Officer will be based in Kebbi State and will report to the Senior MEL Officer on this project. The MEL Officer will support MEL activities in a subset of the 16 LGAs, working closely with LGA health officials, local partners, and Mobile Immunization Team (MIT) data collectors to ensure high-quality data are captured and reported through routine health information systems, data are analyzed to assess progress, and results are reviewed and used to inform program design and delivery.
Responsibilities:
Collaborate with Kebbi State and LGA health officials, local partners, and PATH colleagues to support the development of and maintain monitoring, evaluation, and learning strategies to improve routine immunization program planning, delivery, and coverage in Kebbi State.
Contribute to and provide feedback on project workplans and deliverables related to MEL activities.
Support mobile immunization team data collectors to ensure accurate, complete, and timely data collection and reporting.
Support the development of a data collector training program to ensure data collectors have requisite skills and information before joining the mobile immunization team. Training and content will align with the existing government materials for immunization program data collection.
Implement processes to manage, clean, and validate routine immunization and other project data.
Manage project database(s) and support submission of project data into the government’s routine health information systems (e.g., DHIS2, Routine Immunization SMS platform).
Develop quantitative and qualitative data analysis plans and perform data analysis.
Develop clear and impactful data visualizations, presentations, and reports to effectively communicate program performance and results.
Support a culture of data use by facilitating data review meetings and working closely with stakeholders to review, interpret, and use routine immunization data to improve program design and delivery.
Provide technical support to the project team to use data to inform ward/settlement prioritization, microplanning, outreach planning, and performance monitoring.
Support the development of monthly, quarterly and annual reports documenting and highlighting successes, challenges, and lessons learned throughout the project.
Maintain MEL frameworks (MEL plans, indicator tracking tables).
Required skills and experience:
Bachelor’s degree in medicine, public health, statistics, social sciences, or related field; master’s degree in public health and/or equivalent experience in public health, population studies, health informatics, epidemiology, or research would be an advantage.
Three years of relevant experience in monitoring and evaluation of complex health and development programs.
Experience with training, mentorship, and supervision of community health workers/volunteers and data collectors at community level. Familiarity with phone-based digital data collection tools is an added advantage.
Knowledge of data collection methodologies (quantitative and qualitative).
Knowledge of health and development programs, including familiarity with the national health management information system (DHIS2). Experience with routine immunization programs preferred.
Experience with management and cleaning large quantities of data from various sources.
Experience supporting data review meetings for data-informed programming and adaptive management.
Excellent oral and written communications skills, including development of presentations and reports.
Strong organizational skills, attention to detail, and ability to manage multiple activities simultaneously.
Team-focused with the ability to interact with diverse stakeholders (PATH staff, partner organizations, local government).
Professional proficiency in English verbal and written communications.
Willingness to travel within Kebbi State as required by project activities.
*Please submit a cover letter with your application.
PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here.
```
Now, what needs removal per first instruction:
- Social sharing text: Not much here, maybe the "Learn more about the impact you can make globally" link could be considered, but it's part of the job description. The "PATH current employees - please log in and apply" with the link is probably extraneous.
- Author bylines: None visible.
- "You may also like": None.
- Navigation text: None.
- Comments: None.
- Ads/promotions: The employee login link might be considered, but it's part of the posting.
- Cookie/subscription notices: None.
- Duplicate text: The title might appear, but not really.
- Category labels: None.
- Stray numbers/formatting: The inline styles, `
`, empty ``, spans with local/government.
The second instruction says: "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". This is tricky. If I remove parts, I'm not preserving all original content. But the first instruction says remove specific things. Maybe the intent is: take the job description, remove the junk, and the remaining content should be preserved word-for-word (i.e., don't paraphrase, just keep the exact text). The "ALL original content" might refer to the job content after removal, not the entire scraped text including junk.
Given the dual instructions, I need to produce clean semantic HTML. The rules for HTML formatting are clear: use
,
, - , no classes/styles//
. Preserve content word-for-word. So I should parse the text, remove the extraneous parts (the employee login link, empty paragraphs, inline styles, the "Learn more" link at the end maybe?), and structure the rest into headers and lists.
But wait: the "Learn more..." link at the end: "PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here." That's probably part of the job description but could be considered "promotion" or "external link". The first instruction says remove "Advertisements or promotions". This might fall under that.
Also the initial "PATH current employees - please log in and apply..." is definitely not part of the job info to keep.
Let's identify the core job info:
- Organization: PATH
- Job title: Monitoring, Evaluation, and Learning (MEL) Officer (implied, though not explicitly a "title" line, but the text says "PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer")
- Location: Kebbi State, Nigeria (mentioned in the text)
- Job description: The long paragraph about PATH's Center for Vaccine Innovation and Access, and the MEL Officer role.
- Responsibilities: the ul list under "Responsibilities:"
- Required skills and experience: the ul list under "<
Apply Now ↗
How well do you match?
Get an instant AI match score for this role — free, takes 3 minutes.
Tailor your CV for this role
The concierge rewrites your whole CV and writes a matching cover letter for this job — opens right here, nothing to paste.
Tailor My CV to This Job ✍️
Free cover letter for this job
Upload your CV and get a tailored cover letter in seconds — free, no account needed.
Generate a Cover Letter 📝
tags - Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase - If text has no clear sections, just wrap paragraphs in
tags - Return ONLY the HTML. No markdown fences, no explanation, no preamble. Then there's a "Job description:" section with a lot of HTML-formatted text. So the task is: Take the provided job description text, clean it according to the rules (but the rules here are about formatting as clean semantic HTML, not about removing social sharing etc. - though the "preserve ALL original content word-for-word" suggests I should keep everything, but remove the non-job stuff? Wait, the very first part of the prompt says "You are a job listing editor... REMOVE all of the following: ..." but then it switches to "You receive a plain-text job description. Your ONLY job is to format it as clean semantic HTML." and the rules there are about HTML tags, preserving content word-for-word, no markdown, etc. Let me read the entire prompt again carefully. The user message has two parts potentially? Actually, it's one continuous prompt. It starts with "You are a job listing editor. You receive raw scraped text from a job website. Your job is to extract ONLY the actual job information and return it in a clean, readable format." Then it lists what to remove and what to keep. Then it says "Return ONLY the cleaned job text. Do not add any commentary, headers like "Here is the cleaned version", or markdown formatting. Just the clean job listing text." Then there's a new section: "You receive a plain-text job description. Your ONLY job is to format it as clean semantic HTML." with rules about
,
, - , no CSS, preserve all content word-for-word, return ONLY the HTML. No markdown fences, no explanation, no preamble.
Then "Job description:" followed by a big block of text that looks like scraped job posting HTML.
I need to figure out which set of instructions to follow. The very first part is the editor role with removal instructions. The latter part is the actual task with HTML formatting rules. The user probably wants me to do the HTML formatting task, but I need to handle the removal of extraneous stuff as well, OR just format the given text as clean semantic HTML preserving all content word-for-word.
Let me re-read the very first instruction: "REMOVE all of the following: - Social sharing text... - Author bylines... - "You may also like"... - Navigation text... - Comments sections... - Advertisements or promotions... - Cookie/subscription notices... - Duplicate text... - Category labels... - Stray numbers or formatting artifacts"
"KEEP and STRUCTURE: - Job title - Company/Organisation name - Location - Job description and responsibilities - Requirements/qualifications - How to apply / application instructions - Salary - Deadline / closing date - Job ID / reference number - Contract type / level"
"Return ONLY the cleaned job text. Do not add any commentary, headers like "Here is the cleaned version", or markdown formatting. Just the clean job listing text."
Then the second part says: "You receive a plain-text job description. Your ONLY job is to format it as clean semantic HTML. Rules: - Use
for introductory paragraphs and general text - Use
for section headers... - Use - for list items... - No CSS classes, no inline styles, no s, no
tags - Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase - If text has no clear sections, just wrap paragraphs in tags - Return ONLY the HTML. No markdown fences, no explanation, no preamble."
Then the Job description text.
I think the user wants me to take the job description text, remove the stuff listed in the first part (social sharing, bylines, etc.), and then format the remaining content as clean semantic HTML using the specified tags, preserving all original content word-for-word.
But wait: the first part says "Return ONLY the cleaned job text." and the second part says "Return ONLY the HTML. No markdown fences, no explanation, no preamble." They conflict slightly: one says just plain text, the other says HTML. But the overall prompt seems to combine both: first instructs to extract and clean job info, then says format as clean semantic HTML. The final job description text is given in HTML format already, but messy.
Let me look at the job description text. It starts with:
`
PATH current employees - please log in and apply Here
PATH is a global nonprofit...
`
It has a lot of PATH-specific content, responsibilities, required skills, etc. There's also a link at the beginning for "PATH current employees - please log in and apply" which is probably not part of the job info to keep. Also there are `` empty paragraphs, `
` tags, inline styles.
The rules for the HTML formatting say: "No CSS classes, no inline styles, no s, no
tags". So I need to strip inline styles and `
` tags, but preserve content. Also "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". That's tricky because I need to remove some parts (social sharing, etc.) but the "preserve all original content" might refer to the job content after removal. Actually, the first part says REMOVE specific things, KEEP specific things. The second part says preserve ALL original content word-for-word. There's a conflict. Which one to follow?
Let me read the prompt structure again. It might be that the user pasted two different prompts or the system prompt includes both. The actual task is likely: given the job description text, clean it (remove the stuff listed at the top), and format the remaining as clean semantic HTML with the specified tags, preserving content word-for-word.
But the "Preserve ALL original content word-for-word" from the second part might override the removal list, or maybe I need to do both: remove the listed junk, then format what's left as HTML, keeping all the job text word-for-word (i.e., don't paraphrase, just keep the exact words but strip the junk).
Let's examine the job description text to identify what to remove and what to keep.
The text:
```
PATH current employees - please log in and apply Here
PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.
PATH’s Center for Vaccine Innovation and Access (CVIA) brings together our expertise across every stage of the long and complex process of vaccine research, development, and delivery to make lifesaving vaccines widely available to children and communities across the world. CVIA’s current portfolio encompasses more than two dozen vaccines either in development or already in use to protect against fifteen different diseases. Our focus is on vaccines to address the leading diseases that claim children’s lives worldwide: pneumonia, diarrheal disease, and malaria; as well as other global health priorities, such as polio and meningitis. We work in partnership with national health ministries, pharmaceutical manufacturers, donors, international financing and regulatory organizations, and many others. PATH has led numerous global partnerships, including the award-winning Meningitis Vaccine Project and the Malaria Vaccine Initiative, which helped develop the first malaria vaccine candidate recommended for pilot implementation.
PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer who will support critical MEL practices to improve routine immunization coverage in 16 Local Government Areas (LGAs) of Kebbi State, Nigeria. The MEL Officer will be based in Kebbi State and will report to the Senior MEL Officer on this project. The MEL Officer will support MEL activities in a subset of the 16 LGAs, working closely with LGA health officials, local partners, and Mobile Immunization Team (MIT) data collectors to ensure high-quality data are captured and reported through routine health information systems, data are analyzed to assess progress, and results are reviewed and used to inform program design and delivery.
Responsibilities:
Collaborate with Kebbi State and LGA health officials, local partners, and PATH colleagues to support the development of and maintain monitoring, evaluation, and learning strategies to improve routine immunization program planning, delivery, and coverage in Kebbi State.
Contribute to and provide feedback on project workplans and deliverables related to MEL activities.
Support mobile immunization team data collectors to ensure accurate, complete, and timely data collection and reporting.
Support the development of a data collector training program to ensure data collectors have requisite skills and information before joining the mobile immunization team. Training and content will align with the existing government materials for immunization program data collection.
Implement processes to manage, clean, and validate routine immunization and other project data.
Manage project database(s) and support submission of project data into the government’s routine health information systems (e.g., DHIS2, Routine Immunization SMS platform).
Develop quantitative and qualitative data analysis plans and perform data analysis.
Develop clear and impactful data visualizations, presentations, and reports to effectively communicate program performance and results.
Support a culture of data use by facilitating data review meetings and working closely with stakeholders to review, interpret, and use routine immunization data to improve program design and delivery.
Provide technical support to the project team to use data to inform ward/settlement prioritization, microplanning, outreach planning, and performance monitoring.
Support the development of monthly, quarterly and annual reports documenting and highlighting successes, challenges, and lessons learned throughout the project.
Maintain MEL frameworks (MEL plans, indicator tracking tables).
Required skills and experience:
Bachelor’s degree in medicine, public health, statistics, social sciences, or related field; master’s degree in public health and/or equivalent experience in public health, population studies, health informatics, epidemiology, or research would be an advantage.
Three years of relevant experience in monitoring and evaluation of complex health and development programs.
Experience with training, mentorship, and supervision of community health workers/volunteers and data collectors at community level. Familiarity with phone-based digital data collection tools is an added advantage.
Knowledge of data collection methodologies (quantitative and qualitative).
Knowledge of health and development programs, including familiarity with the national health management information system (DHIS2). Experience with routine immunization programs preferred.
Experience with management and cleaning large quantities of data from various sources.
Experience supporting data review meetings for data-informed programming and adaptive management.
Excellent oral and written communications skills, including development of presentations and reports.
Strong organizational skills, attention to detail, and ability to manage multiple activities simultaneously.
Team-focused with the ability to interact with diverse stakeholders (PATH staff, partner organizations, local government).
Professional proficiency in English verbal and written communications.
Willingness to travel within Kebbi State as required by project activities.
*Please submit a cover letter with your application.
PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here.
```
Now, what needs removal per first instruction:
- Social sharing text: Not much here, maybe the "Learn more about the impact you can make globally" link could be considered, but it's part of the job description. The "PATH current employees - please log in and apply" with the link is probably extraneous.
- Author bylines: None visible.
- "You may also like": None.
- Navigation text: None.
- Comments: None.
- Ads/promotions: The employee login link might be considered, but it's part of the posting.
- Cookie/subscription notices: None.
- Duplicate text: The title might appear, but not really.
- Category labels: None.
- Stray numbers/formatting: The inline styles, `
`, empty ``, spans with local/government.
The second instruction says: "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". This is tricky. If I remove parts, I'm not preserving all original content. But the first instruction says remove specific things. Maybe the intent is: take the job description, remove the junk, and the remaining content should be preserved word-for-word (i.e., don't paraphrase, just keep the exact text). The "ALL original content" might refer to the job content after removal, not the entire scraped text including junk.
Given the dual instructions, I need to produce clean semantic HTML. The rules for HTML formatting are clear: use
,
, - , no classes/styles//
. Preserve content word-for-word. So I should parse the text, remove the extraneous parts (the employee login link, empty paragraphs, inline styles, the "Learn more" link at the end maybe?), and structure the rest into headers and lists.
But wait: the "Learn more..." link at the end: "PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here." That's probably part of the job description but could be considered "promotion" or "external link". The first instruction says remove "Advertisements or promotions". This might fall under that.
Also the initial "PATH current employees - please log in and apply..." is definitely not part of the job info to keep.
Let's identify the core job info:
- Organization: PATH
- Job title: Monitoring, Evaluation, and Learning (MEL) Officer (implied, though not explicitly a "title" line, but the text says "PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer")
- Location: Kebbi State, Nigeria (mentioned in the text)
- Job description: The long paragraph about PATH's Center for Vaccine Innovation and Access, and the MEL Officer role.
- Responsibilities: the ul list under "Responsibilities:"
- Required skills and experience: the ul list under "<
Apply Now ↗
How well do you match?
Get an instant AI match score for this role — free, takes 3 minutes.
Tailor your CV for this role
The concierge rewrites your whole CV and writes a matching cover letter for this job — opens right here, nothing to paste.
Tailor My CV to This Job ✍️
Free cover letter for this job
Upload your CV and get a tailored cover letter in seconds — free, no account needed.
Generate a Cover Letter 📝
for introductory paragraphs and general text - Use
for section headers... - Use - for list items... - No CSS classes, no inline styles, no s, no
tags - Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase - If text has no clear sections, just wrap paragraphs in tags - Return ONLY the HTML. No markdown fences, no explanation, no preamble."
Then the Job description text.
I think the user wants me to take the job description text, remove the stuff listed in the first part (social sharing, bylines, etc.), and then format the remaining content as clean semantic HTML using the specified tags, preserving all original content word-for-word.
But wait: the first part says "Return ONLY the cleaned job text." and the second part says "Return ONLY the HTML. No markdown fences, no explanation, no preamble." They conflict slightly: one says just plain text, the other says HTML. But the overall prompt seems to combine both: first instructs to extract and clean job info, then says format as clean semantic HTML. The final job description text is given in HTML format already, but messy.
Let me look at the job description text. It starts with:
`
PATH current employees - please log in and apply Here
PATH is a global nonprofit...
`
It has a lot of PATH-specific content, responsibilities, required skills, etc. There's also a link at the beginning for "PATH current employees - please log in and apply" which is probably not part of the job info to keep. Also there are `` empty paragraphs, `
` tags, inline styles.
The rules for the HTML formatting say: "No CSS classes, no inline styles, no s, no
tags". So I need to strip inline styles and `
` tags, but preserve content. Also "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". That's tricky because I need to remove some parts (social sharing, etc.) but the "preserve all original content" might refer to the job content after removal. Actually, the first part says REMOVE specific things, KEEP specific things. The second part says preserve ALL original content word-for-word. There's a conflict. Which one to follow?
Let me read the prompt structure again. It might be that the user pasted two different prompts or the system prompt includes both. The actual task is likely: given the job description text, clean it (remove the stuff listed at the top), and format the remaining as clean semantic HTML with the specified tags, preserving content word-for-word.
But the "Preserve ALL original content word-for-word" from the second part might override the removal list, or maybe I need to do both: remove the listed junk, then format what's left as HTML, keeping all the job text word-for-word (i.e., don't paraphrase, just keep the exact words but strip the junk).
Let's examine the job description text to identify what to remove and what to keep.
The text:
```
PATH current employees - please log in and apply Here
PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.
PATH’s Center for Vaccine Innovation and Access (CVIA) brings together our expertise across every stage of the long and complex process of vaccine research, development, and delivery to make lifesaving vaccines widely available to children and communities across the world. CVIA’s current portfolio encompasses more than two dozen vaccines either in development or already in use to protect against fifteen different diseases. Our focus is on vaccines to address the leading diseases that claim children’s lives worldwide: pneumonia, diarrheal disease, and malaria; as well as other global health priorities, such as polio and meningitis. We work in partnership with national health ministries, pharmaceutical manufacturers, donors, international financing and regulatory organizations, and many others. PATH has led numerous global partnerships, including the award-winning Meningitis Vaccine Project and the Malaria Vaccine Initiative, which helped develop the first malaria vaccine candidate recommended for pilot implementation.
PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer who will support critical MEL practices to improve routine immunization coverage in 16 Local Government Areas (LGAs) of Kebbi State, Nigeria. The MEL Officer will be based in Kebbi State and will report to the Senior MEL Officer on this project. The MEL Officer will support MEL activities in a subset of the 16 LGAs, working closely with LGA health officials, local partners, and Mobile Immunization Team (MIT) data collectors to ensure high-quality data are captured and reported through routine health information systems, data are analyzed to assess progress, and results are reviewed and used to inform program design and delivery.
Responsibilities:
Collaborate with Kebbi State and LGA health officials, local partners, and PATH colleagues to support the development of and maintain monitoring, evaluation, and learning strategies to improve routine immunization program planning, delivery, and coverage in Kebbi State.
Contribute to and provide feedback on project workplans and deliverables related to MEL activities.
Support mobile immunization team data collectors to ensure accurate, complete, and timely data collection and reporting.
Support the development of a data collector training program to ensure data collectors have requisite skills and information before joining the mobile immunization team. Training and content will align with the existing government materials for immunization program data collection.
Implement processes to manage, clean, and validate routine immunization and other project data.
Manage project database(s) and support submission of project data into the government’s routine health information systems (e.g., DHIS2, Routine Immunization SMS platform).
Develop quantitative and qualitative data analysis plans and perform data analysis.
Develop clear and impactful data visualizations, presentations, and reports to effectively communicate program performance and results.
Support a culture of data use by facilitating data review meetings and working closely with stakeholders to review, interpret, and use routine immunization data to improve program design and delivery.
Provide technical support to the project team to use data to inform ward/settlement prioritization, microplanning, outreach planning, and performance monitoring.
Support the development of monthly, quarterly and annual reports documenting and highlighting successes, challenges, and lessons learned throughout the project.
Maintain MEL frameworks (MEL plans, indicator tracking tables).
Required skills and experience:
Bachelor’s degree in medicine, public health, statistics, social sciences, or related field; master’s degree in public health and/or equivalent experience in public health, population studies, health informatics, epidemiology, or research would be an advantage.
Three years of relevant experience in monitoring and evaluation of complex health and development programs.
Experience with training, mentorship, and supervision of community health workers/volunteers and data collectors at community level. Familiarity with phone-based digital data collection tools is an added advantage.
Knowledge of data collection methodologies (quantitative and qualitative).
Knowledge of health and development programs, including familiarity with the national health management information system (DHIS2). Experience with routine immunization programs preferred.
Experience with management and cleaning large quantities of data from various sources.
Experience supporting data review meetings for data-informed programming and adaptive management.
Excellent oral and written communications skills, including development of presentations and reports.
Strong organizational skills, attention to detail, and ability to manage multiple activities simultaneously.
Team-focused with the ability to interact with diverse stakeholders (PATH staff, partner organizations, local government).
Professional proficiency in English verbal and written communications.
Willingness to travel within Kebbi State as required by project activities.
*Please submit a cover letter with your application.
PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here.
```
Now, what needs removal per first instruction:
- Social sharing text: Not much here, maybe the "Learn more about the impact you can make globally" link could be considered, but it's part of the job description. The "PATH current employees - please log in and apply" with the link is probably extraneous.
- Author bylines: None visible.
- "You may also like": None.
- Navigation text: None.
- Comments: None.
- Ads/promotions: The employee login link might be considered, but it's part of the posting.
- Cookie/subscription notices: None.
- Duplicate text: The title might appear, but not really.
- Category labels: None.
- Stray numbers/formatting: The inline styles, `
`, empty ``, spans with local/government.
The second instruction says: "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". This is tricky. If I remove parts, I'm not preserving all original content. But the first instruction says remove specific things. Maybe the intent is: take the job description, remove the junk, and the remaining content should be preserved word-for-word (i.e., don't paraphrase, just keep the exact text). The "ALL original content" might refer to the job content after removal, not the entire scraped text including junk.
Given the dual instructions, I need to produce clean semantic HTML. The rules for HTML formatting are clear: use
,
, - , no classes/styles//
. Preserve content word-for-word. So I should parse the text, remove the extraneous parts (the employee login link, empty paragraphs, inline styles, the "Learn more" link at the end maybe?), and structure the rest into headers and lists.
But wait: the "Learn more..." link at the end: "PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here." That's probably part of the job description but could be considered "promotion" or "external link". The first instruction says remove "Advertisements or promotions". This might fall under that.
Also the initial "PATH current employees - please log in and apply..." is definitely not part of the job info to keep.
Let's identify the core job info:
- Organization: PATH
- Job title: Monitoring, Evaluation, and Learning (MEL) Officer (implied, though not explicitly a "title" line, but the text says "PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer")
- Location: Kebbi State, Nigeria (mentioned in the text)
- Job description: The long paragraph about PATH's Center for Vaccine Innovation and Access, and the MEL Officer role.
- Responsibilities: the ul list under "Responsibilities:"
- Required skills and experience: the ul list under "<
Apply Now ↗
How well do you match?
Get an instant AI match score for this role — free, takes 3 minutes.
Tailor your CV for this role
The concierge rewrites your whole CV and writes a matching cover letter for this job — opens right here, nothing to paste.
Tailor My CV to This Job ✍️
Free cover letter for this job
Upload your CV and get a tailored cover letter in seconds — free, no account needed.
Generate a Cover Letter 📝
tags - Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase - If text has no clear sections, just wrap paragraphs in
tags - Return ONLY the HTML. No markdown fences, no explanation, no preamble." Then the Job description text. I think the user wants me to take the job description text, remove the stuff listed in the first part (social sharing, bylines, etc.), and then format the remaining content as clean semantic HTML using the specified tags, preserving all original content word-for-word. But wait: the first part says "Return ONLY the cleaned job text." and the second part says "Return ONLY the HTML. No markdown fences, no explanation, no preamble." They conflict slightly: one says just plain text, the other says HTML. But the overall prompt seems to combine both: first instructs to extract and clean job info, then says format as clean semantic HTML. The final job description text is given in HTML format already, but messy. Let me look at the job description text. It starts with: `
PATH current employees - please log in and apply Here
PATH is a global nonprofit...
` It has a lot of PATH-specific content, responsibilities, required skills, etc. There's also a link at the beginning for "PATH current employees - please log in and apply" which is probably not part of the job info to keep. Also there are `` empty paragraphs, `` tags, inline styles. The rules for the HTML formatting say: "No CSS classes, no inline styles, no
tags". So I need to strip inline styles and `
` tags, but preserve content. Also "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". That's tricky because I need to remove some parts (social sharing, etc.) but the "preserve all original content" might refer to the job content after removal. Actually, the first part says REMOVE specific things, KEEP specific things. The second part says preserve ALL original content word-for-word. There's a conflict. Which one to follow? Let me read the prompt structure again. It might be that the user pasted two different prompts or the system prompt includes both. The actual task is likely: given the job description text, clean it (remove the stuff listed at the top), and format the remaining as clean semantic HTML with the specified tags, preserving content word-for-word. But the "Preserve ALL original content word-for-word" from the second part might override the removal list, or maybe I need to do both: remove the listed junk, then format what's left as HTML, keeping all the job text word-for-word (i.e., don't paraphrase, just keep the exact words but strip the junk). Let's examine the job description text to identify what to remove and what to keep. The text: ```
PATH current employees - please log in and apply Here
PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.
PATH’s Center for Vaccine Innovation and Access (CVIA) brings together our expertise across every stage of the long and complex process of vaccine research, development, and delivery to make lifesaving vaccines widely available to children and communities across the world. CVIA’s current portfolio encompasses more than two dozen vaccines either in development or already in use to protect against fifteen different diseases. Our focus is on vaccines to address the leading diseases that claim children’s lives worldwide: pneumonia, diarrheal disease, and malaria; as well as other global health priorities, such as polio and meningitis. We work in partnership with national health ministries, pharmaceutical manufacturers, donors, international financing and regulatory organizations, and many others. PATH has led numerous global partnerships, including the award-winning Meningitis Vaccine Project and the Malaria Vaccine Initiative, which helped develop the first malaria vaccine candidate recommended for pilot implementation.
PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer who will support critical MEL practices to improve routine immunization coverage in 16 Local Government Areas (LGAs) of Kebbi State, Nigeria. The MEL Officer will be based in Kebbi State and will report to the Senior MEL Officer on this project. The MEL Officer will support MEL activities in a subset of the 16 LGAs, working closely with LGA health officials, local partners, and Mobile Immunization Team (MIT) data collectors to ensure high-quality data are captured and reported through routine health information systems, data are analyzed to assess progress, and results are reviewed and used to inform program design and delivery.
Responsibilities:
Collaborate with Kebbi State and LGA health officials, local partners, and PATH colleagues to support the development of and maintain monitoring, evaluation, and learning strategies to improve routine immunization program planning, delivery, and coverage in Kebbi State.
Contribute to and provide feedback on project workplans and deliverables related to MEL activities.
Support mobile immunization team data collectors to ensure accurate, complete, and timely data collection and reporting.
Support the development of a data collector training program to ensure data collectors have requisite skills and information before joining the mobile immunization team. Training and content will align with the existing government materials for immunization program data collection.
Implement processes to manage, clean, and validate routine immunization and other project data.
Manage project database(s) and support submission of project data into the government’s routine health information systems (e.g., DHIS2, Routine Immunization SMS platform).
Develop quantitative and qualitative data analysis plans and perform data analysis.
Develop clear and impactful data visualizations, presentations, and reports to effectively communicate program performance and results.
Support a culture of data use by facilitating data review meetings and working closely with stakeholders to review, interpret, and use routine immunization data to improve program design and delivery.
Provide technical support to the project team to use data to inform ward/settlement prioritization, microplanning, outreach planning, and performance monitoring.
Support the development of monthly, quarterly and annual reports documenting and highlighting successes, challenges, and lessons learned throughout the project.
Maintain MEL frameworks (MEL plans, indicator tracking tables).
Required skills and experience:
Bachelor’s degree in medicine, public health, statistics, social sciences, or related field; master’s degree in public health and/or equivalent experience in public health, population studies, health informatics, epidemiology, or research would be an advantage.
Three years of relevant experience in monitoring and evaluation of complex health and development programs.
Experience with training, mentorship, and supervision of community health workers/volunteers and data collectors at community level. Familiarity with phone-based digital data collection tools is an added advantage.
Knowledge of data collection methodologies (quantitative and qualitative).
Knowledge of health and development programs, including familiarity with the national health management information system (DHIS2). Experience with routine immunization programs preferred.
Experience with management and cleaning large quantities of data from various sources.
Experience supporting data review meetings for data-informed programming and adaptive management.
Excellent oral and written communications skills, including development of presentations and reports.
Strong organizational skills, attention to detail, and ability to manage multiple activities simultaneously.
Team-focused with the ability to interact with diverse stakeholders (PATH staff, partner organizations, local government).
Professional proficiency in English verbal and written communications.
Willingness to travel within Kebbi State as required by project activities.
*Please submit a cover letter with your application.
PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here.
``` Now, what needs removal per first instruction: - Social sharing text: Not much here, maybe the "Learn more about the impact you can make globally" link could be considered, but it's part of the job description. The "PATH current employees - please log in and apply" with the link is probably extraneous. - Author bylines: None visible. - "You may also like": None. - Navigation text: None. - Comments: None. - Ads/promotions: The employee login link might be considered, but it's part of the posting. - Cookie/subscription notices: None. - Duplicate text: The title might appear, but not really. - Category labels: None. - Stray numbers/formatting: The inline styles, ``, empty `
`, spans with local/government. The second instruction says: "Preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase". This is tricky. If I remove parts, I'm not preserving all original content. But the first instruction says remove specific things. Maybe the intent is: take the job description, remove the junk, and the remaining content should be preserved word-for-word (i.e., don't paraphrase, just keep the exact text). The "ALL original content" might refer to the job content after removal, not the entire scraped text including junk. Given the dual instructions, I need to produce clean semantic HTML. The rules for HTML formatting are clear: use
,
, - , no classes/styles//
. Preserve content word-for-word. So I should parse the text, remove the extraneous parts (the employee login link, empty paragraphs, inline styles, the "Learn more" link at the end maybe?), and structure the rest into headers and lists.
But wait: the "Learn more..." link at the end: "PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here." That's probably part of the job description but could be considered "promotion" or "external link". The first instruction says remove "Advertisements or promotions". This might fall under that.
Also the initial "PATH current employees - please log in and apply..." is definitely not part of the job info to keep.
Let's identify the core job info:
- Organization: PATH
- Job title: Monitoring, Evaluation, and Learning (MEL) Officer (implied, though not explicitly a "title" line, but the text says "PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer")
- Location: Kebbi State, Nigeria (mentioned in the text)
- Job description: The long paragraph about PATH's Center for Vaccine Innovation and Access, and the MEL Officer role.
- Responsibilities: the ul list under "Responsibilities:"
- Required skills and experience: the ul list under "<
. Preserve content word-for-word. So I should parse the text, remove the extraneous parts (the employee login link, empty paragraphs, inline styles, the "Learn more" link at the end maybe?), and structure the rest into headers and lists. But wait: the "Learn more..." link at the end: "PATH is a diverse nonprofit organization that creates a culture of collaboration and partnership. Learn more about the impact you can make globally here." That's probably part of the job description but could be considered "promotion" or "external link". The first instruction says remove "Advertisements or promotions". This might fall under that. Also the initial "PATH current employees - please log in and apply..." is definitely not part of the job info to keep. Let's identify the core job info: - Organization: PATH - Job title: Monitoring, Evaluation, and Learning (MEL) Officer (implied, though not explicitly a "title" line, but the text says "PATH is currently seeking a Monitoring, Evaluation, and Learning (MEL) Officer") - Location: Kebbi State, Nigeria (mentioned in the text) - Job description: The long paragraph about PATH's Center for Vaccine Innovation and Access, and the MEL Officer role. - Responsibilities: the ul list under "Responsibilities:" - Required skills and experience: the ul list under "<
How well do you match?
Get an instant AI match score for this role — free, takes 3 minutes.
Tailor your CV for this role
The concierge rewrites your whole CV and writes a matching cover letter for this job — opens right here, nothing to paste.
Tailor My CV to This Job ✍️Free cover letter for this job
Upload your CV and get a tailored cover letter in seconds — free, no account needed.
Generate a Cover Letter 📝Let jobs find you
Leave your email and our AI matches you to new jobs across 24 African markets — free. You wait for the call.
Add your CV for real matches
Upload your CV and we score every new job against your real experience — only strong matches reach your inbox. Optional, but it makes your matches far sharper.
You're in.
We'll email you the moment a job matches your profile. Check your inbox for a welcome from My Job Concierge.
I'm ECHO, your MJC career assistant. I can help you find jobs, explore career tools, and connect with opportunities across Africa.