Manufacturing

Research Assistant At Snv

SNV·Abuja, nigeria·Full Time·Internship
ManufacturingFull TimeInternship
-Closes Sep 21, 2026

Purpose of the internship Placement

  • In your role as a Research Assistant, you will gain practical experience in research and data analysis and programme implementation within an international development organisation.
  • The intern will be based in Abuja, work with the Programme and project team, across SNV Nigeria's portfolio, contributing to a range of initiatives that strengthens SNV's objectives and visibility.
  • The intern will report to the Country Director and will take on, a mix of research and data analysis tasks within the dynamic programmes.
  • Each week will offer opportunities to learn, co-create, and contribute in meaningful ways.
  • To succeed in this role, you should bring a flexible and proactive mindset, a collaborative spirit, and a genuine passion for our mission to advance sustainable and equitable development, making impact that matters.

This internship offers a unique opportunity to:

  • Learn programme implementation within international development.
  • Build expertise in conducting research.
  • Strengthen your capabilities in analysing data.
  • Receive mentorship from professionals within team environment.
  • Develop proficiency in team building and stakeholder collaboration.
  • Contribute to work that makes a difference.

Job Description

  • Conduct desk research on agriculture, agribusiness, renewable energy, water and climate-related issues relevant to SNV programmes.
  • Support programme teams with data collection, analysis and interpretation for projects and assignments.
  • Track relevant market, policy, technology and investment developments across agriculture, renewable energy and water sectors.
  • Prepare concise research briefs, literature reviews, presentations, factsheets and programme inputs.
  • Support mapping and profiling of private-sector companies, government institutions, development partners and other stakeholders.
  • Assist in gathering and analysing information on value chains, markets, business models and investment opportunities.
  • Support field research, interviews, surveys and stakeholder consultations where required.
  • Contribute to preparation of project reports, concept notes, proposals, ToRs and other technical documents.
  • Support programme team in monitoring project activities and compiling relevant evidence and documentation.
  • Organise and maintain research databases, reference materials and project information.
  • Support knowledge management by documenting lessons learnt success stories and emerging practices across projects.
  • Undertake other research and programme-support tasks assigned by the supervisor.

Qualifications

  • Bachelor's degree in Social Science, Agricultural Economics, Development Studies or related field.
  • NYSC member with valid deployment to Abuja and graduates with a maximum of 1 year of post-NYSC work experience.

Competencies:

The successful candidate should demonstrate:

  • Analytical thinking: Ability to investigate issues, analyse information and draw evidence-based conclusions.
  • Research and writing: Ability to translate complex information into clear, concise and useful outputs.
  • Learning agility: Willingness to learn quickly and work across multiple technical areas.
  • Teamwork: Ability to work collaboratively with Programme Managers, Advisors and project teams.
  • Initiative: Ability to identify information gaps and proactively support the team in addressing them.
  • Attention to detail: Ability to produce accurate and well-structured research and programme outputs.

Additional Information:

Internship Engagement Terms:

  • This is a learning placement for a period of 12 months, designed to build capacity and practical experience.
  • While it does not constitute employment, the intern/ NYSC member will gain valuable exposure to international development general office operations practices and systems, with mentoring and supervision provided by the experienced team.
  • Applicable to Nigeria Nationals only
  • Location: Abuja, Nigeria
  • Expected start date: October 1, 2026.

Key skills

BA/BSc/HND

At a glance

Company

SNV

Location

Abuja, nigeria

Employment

Full Time

Experience

Valid until

September 21, 2026

Created

September 11, 2026

More opportunities

Similar roles you might like

Research Assistant - Jigawa At Malaria Consortium

Malaria Consortium

Jigawa, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

7 days ago

Research Assistant - Katsina At Malaria Consortium

Malaria Consortium

Katsina, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

7 days ago

Research Assistant - Yobe At Malaria Consortium

Malaria Consortium

Yobe, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

7 days ago

Research Assistant - Kano At Malaria Consortium

Malaria Consortium

Kano, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

7 days ago

Research Assistant - Niger At Malaria Consortium

Malaria Consortium

Niger, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

7 days ago

Research Assistant - Kaduna At Malaria Consortium

Malaria Consortium

Kaduna, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

7 days ago