Key Responsibilities:

• Receiving, processing, compilation, verification and storage of study data or samples and ensure all processes adhere with Good Clinical Laboratory Practice (GCLP) and the study protocols.
• Conduct basic phylogenetic analyses, data analysis and interpretation of study data or samples to identify insights and support in synthesizing the same through statistical summaries and other data visualization techniques.
• Contribute to report writing, dissemination and publishing of study research work by authoring in various reputable scientific journals, and supporting dissemination at various internal and external meetings, conferences, workshops and other relevant Scientific forums
• Conduct training and Mentorships to other Researchers by participating in designing and implementing mentorship plans, developing user-friendly learning aids and reference materials as well as delivering virtual or physical training sessions to the assigned researchers, students and interns.
• Participate in building and maintaining relationships, networks and collaborations with the other Departments, research groups and other stakeholders and assist in the Study Project Management to ensure quality of outputs and timely completion of the Project.
• Run laboratory assays (DNA/RNA extraction, qPCR, and sequencing) as per the developed SOPS and protocols.
• Contribute to the Study full compliance with all relevant internal ethical and Research Governance protocols, policies and procedures as well as all external legal, ethical and regulatory requirements by proper documentation and adherence at all Research Phases.
• Provide inputs and necessary technical support to the Principal Investigator and other Programme Researchers in identifying sustainable funding opportunities and developing proposals to secure Research Grants and funding..

Vacancy Requirements:

• Minimum Bachelor’s Degree in any of the following disciplines: Biological Sciences, Bioinformatics or any other relevant field from a recognized university    Mandatory
• Minimum One (1) Year experience in Research from a reputable Research institution    Mandatory
• Experience in the use of current technology specifically the use of automated statistical tools    Mandatory
• Demonstrated high levels of integrity and confidentiality    Mandatory
• Excellent interpersonal, verbal and written communication skills    Mandatory
• Ability to work with diverse, multidisciplinary teams and build strong relationships with internal and external collaborators    Mandatory
• Excellent analytical skills and ability to deliver quality outputs within strict timelines.    Mandatory
• Flexibility, adaptability, multi-tasking and attention to detail    Mandatory

Key Responsibilities:

• Coordinate the collection, compilation, verification and analysis of the study data.
• Conduct basic epidemiological data analysis and interpretation of study data to identify insights and support in synthesizing the same through statistical summaries and other data visualization techniques.
• Contribute to report writing, dissemination and publishing of study research work by authoring in various reputable scientific journals, and supporting dissemination at various internal and external meetings, conferences, workshops and other relevant Scientific forums
• Conduct training and Mentorships to other Researchers by participating in designing and implementing mentorship plans, developing user-friendly learning aids and reference materials as well as delivering virtual or physical training sessions to the assigned researchers, students and interns.
• Participate in building and maintaining relationships, networks and collaborations with the other Departments, research groups and other stakeholders and assist in the Study Project Management to ensure quality of outputs and timely completion of the Project.
• Contribute to the Study full compliance with all relevant internal ethical and Research Governance protocols, policies and procedures as well as all external legal, ethical and regulatory requirements by proper documentation and adherence at all Research Phases.
• Provide inputs and necessary technical support to the Principal Investigator and other Programme Researchers in identifying sustainable funding opportunities and developing proposals to secure Research Grants and funding.

Vacancy Requirements:

• Minimum Bachelor’s Degree in any of the following disciplines; Biological Sciences, Statistics, Public Health or any other relevant field from a recognized university    Mandatory
• Minimum One (1) Year experience in Research from a reputable Research institution    Mandatory
• Experience in the use of current technology specifically the use of automated statistical tools    Mandatory
• Demonstrated high levels of integrity and confidentiality    Mandatory
• Excellent interpersonal, verbal and written communication skills    Mandatory
• Ability to work with diverse, multidisciplinary teams and build strong relationships with internal and external collaborators    Mandatory
• Excellent analytical skills and ability to deliver quality outputs within strict timelines.    Mandatory
• Flexibility, adaptability, multi-tasking and attention to detail    Mandatory

Key Responsibilities:

• Participate in the development, implementation and review of School Engagement Programme’s strategic and operational plans, budgets, policies and procedures that are aligned to the Project’s strategic goals and objectives
• Participate in building and maintaining networks and collaborations with the various stakeholders such as Ministry of Education, Teachers, Health clubs, other Departments and research groups.
• Plan and conduct Primary and Junior School engagement activities that are aligned to the Project’s strategic goals and objectives. Such activities include Science literacy sessions, Science modelling competitions, career talks and mobile lab demonstrations
• Participate in capacity building through planning and conducting stakeholder feedback sessions, evaluating Primary and Junior school learners’ activities and supporting recruitment and consenting of participants where relevant.
• Contribute to data collection by participating in the design and development of data collection tools, data collection, analysis, interpretation and disseminating the same through summaries, reports and Presentations to various Stakeholders.
• Document and monitor planned engagement activities, including student participation, feedback, and lessons learned, to inform continuous improvement and innovation in school engagement initiatives.
• Support the operations of the SEP team by assisting in day to day coordination, logistics, planning and participate in other Project HR Management activities to ensure effective delivery of the SEP goals and objectives.
• Contribute to the SEP full compliance with all relevant internal ethical and Research Governance protocols, policies and procedures by ensuring proper documentation and adherence for all research activities.

Vacancy Requirements:

• Minimum Bachelor’s Degree in Biological Sciences, Social Sciences, Communication or any other relevant field from a recognized university    Mandatory
• Minimum One (1) Year experience in supporting school or young people engagement activities at a reputable institution    Mandatory
• Experience in working with students, research engagement or early-career science teaching, including developing teaching/learning aids    Mandatory
• Demonstrated high levels of integrity and confidentiality    Mandatory
• Excellent interpersonal, verbal and written communication skills    Mandatory
• Ability to work with diverse, multidisciplinary teams and build strong relationships with internal and external collaborators    Mandatory
• Excellent analytical skills and ability to deliver quality outputs within strict timelines.    Mandatory
• Flexibility, adaptability, multi-tasking and attention to detail    Mandatory

Key Responsibilities:

• Coordinate the collection, processing, compilation, verification and storage of study data or samples and ensure all processes are conducted in line with Good Clinical Laboratory Practice (GCLP) and the study protocols.
• Conduct Data analysis and interpretation of study data or samples to identify insights and synthesize the same through statistical summaries and other data visualization techniques.
• Lead and support in troubleshooting of new laboratory assays and ensure laboratory experiments (DNA/RNA extraction, qPCR and sequencing) within the team are conducted as per the SOPs
• Contribute to report writing, dissemination and publishing of study research work by authoring in various reputable scientific journals, preparing policy briefs and disseminating at various internal and external meetings, conferences, workshops and other relevant Scientific forums
• Network, collaborate and partner with the other Departments, research groups and other internal and external stakeholders and support in the Study Project Management to ensure quality of outputs and timely completion of the Project.
• Conduct training and Mentorships to other Researchers by designing, implementing and reviewing mentorship plans, developing user-friendly learning aids and reference materials as well as delivering virtual or physical training sessions to the assigned researchers, students and interns.
• Supervise the Study team by providing day to day supervision and coordinating both the Study research and operations teams and participate in other study HR Management issues as assigned
• Contribute to the Study full compliance with all relevant internal ethical and Research Governance protocols, policies and procedures as well as all external legal, ethical and regulatory requirements by ensuring proper documentation and adherence at all Research Phases.
• Provide inputs and necessary technical support to the Principal Investigator and other Programme Researchers in identifying sustainable funding opportunities and developing proposals to secure Research Grants and funding.

Vacancy Requirements:

• Minimum Master’s Degree in Biological Sciences, Bioinformatics, or any other relevant field from a recognized university    Mandatory
• Minimum Three (3) Years experience in Genomics and Bioinformatics at a reputable Research institution    Mandatory
• Demonstrated experience in capacity building and the use of current technology in Health Research, specifically R and other bioinformatics software.    Mandatory
• Demonstrated high levels of integrity and confidentiality    Mandatory
• Excellent interpersonal, verbal and written communication skills    Mandatory
• Ability to work with diverse, multidisciplinary teams and build strong relationships with internal and external collaborators    Mandatory
• Excellent analytical skills and ability to deliver quality outputs within strict timelines.    Mandatory
• Strong team coordination and decision-making skills    Mandatory

Key Responsibilities:

• Contribute to the development, implementation and review of research protocols related to NEWRISK WP4 that are aligned to the Project’s strategic goals and objectives
• Participate in data collection, analysis, storage and interpretation of the NEWRISK WP4 Project data to identify insights.
• Develop, plan and implement community and stakeholder engagement activities in NEWRISK study areas as per the project community engagement and involvement (CEI) Gantt Chart.
• Network and collaborate with the other Departments, research groups and other internal and external stakeholders and support in Project Management to ensure quality of outputs and timely completion of the NEWRISK study Project deliverables.
• Contribute to report writing, dissemination and publishing of NEWRISK Study work by authoring in various reputable scientific journals, preparing policy briefs, manuscripts, blogs and disseminating at various internal and external meetings, conferences, workshops and other relevant Scientific forums
• Conduct capacity building on NEWRISK Study by developing learning materials such as handouts, and visual aids, interactive apps, videos, simulations and conducting necessary orientations, trainings and other interactive learning sessions.
• Supervise the assigned Staff by providing day to day supervision, coordination, mentorships and participate in other Project HR Management and operations activities.
• Contribute to the Project full compliance with all relevant internal ethical and Research Governance protocols, policies and procedures as well as all external legal, ethical and regulatory requirements by ensuring proper documentation and adherence at all Phases.
• Provide inputs and necessary technical support to the WP 4 Community Engagement Lead and Project PI and other Programme Researchers in identifying sustainable funding opportunities and developing proposals to secure Research Grants and funding.

Vacancy Requirements:

• Minimum Master’s Degree in Global Health, Public Health, or any other relevant field from a recognized university    Mandatory
• Minimum Three (3) Years experience in community and public engagement initiatives at a reputable Research institution    Mandatory
• Demonstrated experience in the use of current technology in Health Research.    Mandatory
• Demonstrated high levels of integrity and confidentiality    Mandatory
• Excellent interpersonal, verbal and written communication skills    Mandatory
• Ability to work with diverse, multidisciplinary teams and build strong relationships with internal and external collaborators    Mandatory
• Excellent analytical skills and ability to deliver quality outputs within strict timelines.    Mandatory
• Strong team coordination and decision-making skills    Mandatory

Key Responsibilities:

• To contribute to the development of research proposal as needed, including through reviewing literature and synthesising learning from reviews and supporting the development of data collection tools.
• To support, and in designated instances take primary responsibility for; community sensitization, stakeholder engagement, data collection including, supporting planning for fieldwork, and managing all interactions with study participants in ways that positively support ethical conduct and the collection of high-quality data. Given the nature of the study, fieldwork might sometimes necessitate weekend work.
• To contribute to the management and analysis of data from the study and take primary responsibility for analysis in designated areas.
• To support the dissemination of study findings as necessary, including through the preparation of drafts of reports and manuscripts for publication; making presentations at scientific meetings, and supporting feedback to study participants.
• To actively contribute to developing their capacity in social science and related research methods, particularly for qualitative research. This includes engaging with a wide literature on relevant topics and social science methods, active participation in pieces of training provided, and focused efforts to continuously seek and act on feedback on performance.
• To attend departmental and programme scientific meetings, including Programme seminars and regular meetings of the Social Science Group.
• And any other duties that may be assigned from time to time.

Vacancy Requirements:

• A Master’s degree in a relevant subject such as Social Science & Humanities Anthropology or sociology-, from a recognized institution.    Mandatory
• At least three(3) years of research experience, ideally including experience in collecting and analysing qualitative research data through interviews, focus group discussions and non-participant observations, health systems research, stakeholder engagement.    Mandatory
• Evidence of ability to produce and publish research.    Mandatory
• Computer literacy with proficiency in Microsoft applications.    Mandatory
• Knowledge of NVivo (qualitative analysis) software will be an added advantage.    Mandatory
• Willingness to travel within Kenya and spend time conducting field work.    Desirable
• Excellent understanding of the Kenyan health system.    Desirable
• Experience of participatory research and co-design.    Desirable
• Excellent organisational and communication skills.    Desirable
• Experience of engaging with stakeholders at community, hospital, county and national level.    Desirable
• Good writing skills.    Mandatory
• Good planning, organisation, and coordination skills.    Mandatory
• Good presentation skills.    Mandatory
• Ability to take and follow instructions, show initiative, keen to learn, and proactive with the ability to work under minimal supervision.    Mandatory
• Excellent interpersonal and communication skills.    Mandatory
• Flexibility, adaptability, multi-tasking, and attention to detail.    Mandatory
• Conscientiousness, timeliness, and willingness to work to meet deadlines.    Mandatory
• Team working and ability to work in a multi-cultural environment.    Mandatory

Key Responsibilities:

• Develop and apply probabilistic record linkage methodologies using data from multiple HDSS sites to assess completeness of birth and death registration.
• Identify and quantify systematic reporting differences in age-at-death and birth dates in survey and routine data.
• Conduct analysis of primary household survey data on birth and death registration to understand factors influencing registration practices.
• Generate reproducible scripts and documentation using Python and spatial/statistical packages.
• Support geospatially disaggregated analyses to assess implementation strength, equity of access, and quality of care.
• Contribute to evaluating the impact of maternal and newborn health initiatives.
• Assist in data harmonization and integration across sites using relational databases and web mapping tools
• Integrate geospatial analytics and open web mapping tools to support interactive dashboards and decision-support systems.
• Apply data mining and statistical inference to assess determinants of inequity and health system performance.
• Analysing DHIS2 data to generate actionable insights on health interventions and monitor trends in morbidity and mortality.
• Contribute to peer-reviewed manuscripts, technical reports, and policy briefs.
• Participate in capacity-building activities, seminars, and collaborative research meetings.
• Stay current with emerging methods in health systems science, GIS, and epidemiology.

Vacancy Requirements:

• Recognised Postgraduate qualification in MSc in Spatial Data Science, Public Health, Epidemiology, Statistics, or a related field with strong quantitative components.    Mandatory
• At least three(3) years working experience in related field, health research.    Mandatory
• Experience working with CRVS, HDSS and or DHS, or similar health and demographic datasets.    Mandatory
• Proficiency in statistical software (e.g., R, Stata) and GIS tools (e.g., ArcGIS, QGIS).    Mandatory
• Strong Python programming skills and experience with web mapping or spatial data pipelines.    Mandatory
• Excellent written and verbal communication skills, including scientific writing.    Mandatory
• Demonstrated expertise in analytical thinking and statistical methods, with the ability to interpret complex data and generate actionable insights.    Added Advantage
• High initiative and willingness to take on new analytical and scientific challenges.    Mandatory
• Strong organizational skills and ability to work under tight deadlines.    Mandatory
• Ability to work independently and collaboratively across teams.    Mandatory
• Experience producing high-quality visualizations and spatial outputs for policy and scientific use.    Mandatory

Key Responsibilities:

• Compile existing data on hospital facilities, resources and geographic setting with a focus on Level 4 and Level 5 hospitals.
• Compile existing DHIS2 data on hospital outpatient (emergency and booked clinics), delivery care and inpatient episodes for each Level 4 and Level 5 hospitals ideally over the period 2021 to 2025 inclusive.
• Address any inconsistencies in the two data sources by triangulating with other sources using clearly articulated and logical processes to create the best:
• Hospital Capacity’ dataset possible.
• Hospital Workloads, Case-Mix and Outcomes’ dataset possible.
• Link Level 4 and Level 5 hospitals in each dataset through specific hospital identifiers and to their geographic location.
• Create suitable indices of hospital capacity that span important domains for the delivery of services.
• Develop an approach to aggregate reporting of workload for OPD and Inpatient areas and then for hospitals as a whole.
• Conduct analyses that explore variations in hospital capacity and workloads and link these to geographic location.
• Conduct analyses that contrast hospital capacity and workloads to explore variation in ‘productivity’ with the potential of proceeding to more sophisticated analyses of hospital efficiency.
• Support the wider data collection activities of the AFRHiCARE team including planning and taking part in county hospital surveys, development of REDCap databases and conducting data cleaning as necessary, stakeholder engagement and outreach to explain and share any findings.
• Collaborate effectively with Kenyan and international team members within the AFRHiCARE partnership and plan, coordinate and summarise the results of meetings or workshops as directed by the supervisor.
• Contribute to the wider scientific activities of the Health Services Unit and the Nairobi Programme of KEMRI-Wellcome in Kenya.
• And any other duties that may be assigned from time to time.

Vacancy Requirements:

• Recognised Postgraduate qualification (Masters) in epidemiology, global or public health.    Mandatory
• A primary degree ideally in a health discipline.    Mandatory
• At least three years working experience in related field, health research.    Mandatory
• Evidence of research excellence based on prior publications in international peer-reviewed journals.    Mandatory
• Demonstrated experience in planning and undertaking document or scientific literature reviews.    Mandatory
• Demonstrated experience in planning for and collecting, analysing and interpreting quantitative and qualitative data including prior experience with statistical packages R or STATA and qualitative analysis packages such as NVIVO.    Mandatory
• Experience with REDCap with clear competence in database development, data entry, data cleaning and preparation of data for analyses.    Mandatory
• Experience in undertaking research with diverse stakeholders and in a cross-cultural context.    Mandatory
• Demonstrated ability to act with sound judgement, sensitivity, and flexibility, and to exercise initiative in adapting preferred approaches when and where required.    Mandatory
• Detailed understanding of Level 4 and Level 5 hospitals in Kenya.    Desirable
• Demonstrated interest in health systems / services research as evidenced by relevant prior experience.    Desirable
• Demonstrated ability to logically organise datasets, document metadata and keep good records of data management / wrangling.    Mandatory
• Experience in developing an analytic plan and collating, analysing and interpreting data    Mandatory
• Experience in use of quantitative analytical software.    Mandatory
• Excellent range of skills across the MS Office suite    Mandatory
• Strong organisation/programme management skills with the ability to prioritise workloads and work within tight deadlines    Mandatory
• Highly developed oral and written communication skills with ability to write clearly for a scientific audience and to present clearly to non-academic audiences    Mandatory
• Ability to work independently and collaboratively in a team environment and to multi-task    Mandatory
• Have high energy, clear goal orientation and a strong work ethic.    Mandatory

Key Responsibilities:

• Prepare longitudinal, facility-period epidemiological datasets for mortality, severe morbidity, coverage, readiness, and workforce indicators, applying protocol-defined inclusion criteria and variable transformations.
• Compute routine epidemiological indicators, including mortality rates/ratios, effective coverage components, case-mix descriptors, referral patterns, admission severity profiles, and event frequencies.
• Produce descriptive analyses and outputs for trend assessment, quarterly snapshots, and facility-level dashboards that feed into interrupted time series and counterfactual modelling workflows.
• Contribute summary statistics to quarterly technical updates and annual reports.
• Support the implementation science workstream by generating routine process indicators, QI-related summaries, and visualisations for facility feedback.
• Summarise QI findings, operational disruptions, and facility readiness constraints into structured contextual notes to support process evaluation and interpretation.
• Support the assembly of facility-level implementation indices and descriptive analyses of workforce competency trends.
• Maintain reproducible analysis notebooks and documentation, and support improvements to data structures, versioning, and quality control workflows.

Vacancy Requirements:

• Bachelor’s degree in Epidemiology/Biostatistics/Public Health.    Mandatory
• At least one year experience in research related environment with applied analysis with routine data.    Mandatory
• Statistical software (R/Stata), data visualization, meticulous QC, good writing.    Mandatory

Key Responsibilities:

• Design/maintain extraction transform load (ETL) workflows, dictionaries, and validation rules; run routine DQ checks and produce facility DQ scorecards.
• Coordinate encrypted transfers, access controls, and audit logs; support in country teams to execute central scripts locally.
• Build analysis ready datasets and documentation (README, data schemas, provenance).
• Manage the full data engineering pipeline across nine to ten countries, covering extraction, transformation, validation, documentation, and version control all study datasets.
• Implement and maintain data quality frameworks, including completeness, internal consistency, timeliness, audit trails, reconciliation checks, and facility feedback on data gaps.
• Maintain secure country specific servers, encryption, anonymization processes, access control registries, and audit logs for compliance with national data laws.
• Ensure correct execution of script based federated analysis workflows, supporting in country teams to run centrally developed code without exporting raw data.
• Produce quarterly clean datasets, documentation packs, and harmonized structures ready for analysis (including wide/long reshaping, panel construction, facility period indexing).
• Collaborate with analysts and statisticians to support data linkage, model preparation datasets, and metadata curation.

Vacancy Requirements:

• Masters in Biostatistics/Health Informatics/Data Management.    Mandatory
• At least 3 years working experience managing large routine health datasets and health facility assessments.    Mandatory
• SQL/Python/R; data modelling; data quality frameworks; documentation; security best practice.    Mandatory

Key Responsibilities:

• Design/maintain extraction transform load (ETL) workflows, dictionaries, and validation rules; run routine DQ checks and produce facility DQ scorecards.
• Coordinate encrypted transfers, access controls, and audit logs; support in country teams to execute central scripts locally.
• Build analysis ready datasets and documentation (README, data schemas, provenance).
• Manage the full data engineering pipeline across nine to ten countries, covering extraction, transformation, validation, documentation, and version control all study datasets.
• Implement and maintain data quality frameworks, including completeness, internal consistency, timeliness, audit trails, reconciliation checks, and facility feedback on data gaps.
• Maintain secure country specific servers, encryption, anonymization processes, access control registries, and audit logs for compliance with national data laws.
• Ensure correct execution of script based federated analysis workflows, supporting in country teams to run centrally developed code without exporting raw data.
• Produce quarterly clean datasets, documentation packs, and harmonized structures ready for analysis (including wide/long reshaping, panel construction, facility period indexing).
• Collaborate with analysts and statisticians to support data linkage, model preparation datasets, and metadata curation.

Vacancy Requirements:

• Masters in Biostatistics/Health Informatics/Data Management.    Mandatory
• At least 3 years working experience managing large routine health datasets and health facility assessments.    Mandatory
•  SQL/Python/R; data modelling; data quality frameworks; documentation; security best practice.    Mandatory