Project Overview\u00a0<\/p>\n
Data.FI is a global project funded by the U.S. Department of State to strengthen health information systems, health financing, and improve the use of data for decision-making. In Kenya, Data.FI supports the Ministry of Health (MoH),\u00a0Digital Health Agency\u00a0(DHA), the Kenya National Public Health Institute (KNPHI), the National Malaria Control Programme (NMCP), and other state agencies to enhance health security, malaria surveillance, digital health governance, and data use for rapid decision-making. This role operates within the transition toward GovernmenttoGovernment (G2G) assistance and will closely coordinate with U.S. Government interagency partners, including the U.S. Department of State Office of Foreign Assistance (OFA) and CDC, to ensure sustainable, countryowned systems that align with national priorities.\u00a0<\/p>\n
Position Overview\u00a0<\/p>\n
The Health Security Lead is a senior technical role providing strategic direction, expert guidance, and handson support to strengthen casebased and eventbased surveillance as a core pillar of Kenya\u2019s health security architecture. Working with MoH (KNPHI, DHA, NMCP), county governments, and U.S. Government partners (including OFA and CDC), the role will:\u00a0<\/p>\n
\tAdvance digitalization and interoperability of surveillance platforms to operationalize the 7-1-7 target (7 days to detect, 1 day to notify, 7 days to respond) for other epidemicprone threats.\u00a0
\n\tLead the analytics function (descriptive, geospatial, predictive) to drive earlier detection, faster notification, and timelier response.\u00a0
\n\tEnsure alignment to IHR (2005), IDSR, One Health, and Kenya\u2019s digital health policies, with implementation framed as governmentled and governmentowned.<\/p>\n
Key Responsibilities\u00a0
\nStrategic Leadership & Health Security Alignment\u00a0<\/p>\n
\tProvide strategic leadership for surveillance strengthening within Kenya\u2019s broader Health Security agenda, aligned to MoH priorities, IHR (2005), IDSR, and national digital health policies\/standards.\u00a0
\n\tServe as technical advisor to the Data.FI\u00a0,\u00a0 MoH\u00a0and the OFA\/Embassy Health Office on malaria surveillance, integrated disease surveillance, outbreak detection, and response.\u00a0
\n\tCodesign with MoH a pragmatic roadmap to institutionalize the 7-1-7 target as a performance metric for malaria (and applicable crosscutting threats), including embedding 7-1-7 indicators in routine reviews, AARs\/IARs\/EARs, and county action plans.\u00a0
\n\tSupport the transition to G2G modalities, emphasizing capacity transfer, sustainability, accountability, and use of government systems.\u00a0<\/p>\n
Surveillance Strengthening & Digital Health Integration\u00a0<\/p>\n
\tProvide highlevel technical assistance to NMCP, KNPHI, DHA, and counties to strengthen malaria\u00a0control, and integration with KHIS2; align workflows from case detection to case investigation, foci classification, and response.\u00a0
\n\tAdvance digitalization of surveillance: optimize electronic casebased reporting, configure alert thresholds, digitize SOPs\/job aids, and streamline event management ensuring 7-1-7 time stamps are captured endtoend (detect \u2192 notify \u2192 respond).\u00a0
\n\tStrengthen interoperability across platforms (e.g., KHIS2\/DHIS2, EMRs, lab information systems, HIE), using open standards (FHIR\/HL7) and MoH architecture guidelines working through DHA governance processes.\u00a0
\n\tIncorporate entomological, climatological, and environmental data (e.g., rainfall, temperature, vector density) into malaria risk stratification and early warning dashboards to guide preemptive targeting and resource prepositioning.\u00a0
\n\tWhere relevant to zoonotic and vectorborne risks, support One Health linkages (e.g., KABS, wildlife\/environmental signals) to improve situational awareness for malariaadjacent or cocirculating threats.\u00a0<\/p>\n
Outbreak Detection, Investigation & Response (717 Operationalization)\u00a0<\/p>\n
\tProvide expert technical guidance to national and county rapid response teams for outbreaks (e.g., seasonal surges, complex emergencies), ensuring\u00a0standardized protocols for detection, notification, investigation, and initial response.\u00a0
\n\tEmbed 7-1-7 performance analytics into outbreak reviews to identify bottlenecks (e.g., delayed lab confirmation, late notification, lag in vector control deployment) and drive targeted system fixes with responsible owners and timelines.\u00a0
\n\tSupport development\/update of national guidelines, SOPs, alert management protocols, and district\/county playbooks for\u00a0infectious disease\u00a0outbreak preparedness and response harmonized with IDSR and KNPHI guidance.\u00a0<\/p>\n
Analytics & Data Use for Action\u00a0<\/p>\n
\tLead the analytics function for surveillance and health security: design and maintain automated data pipelines, quality checks, and integrated dashboards (descriptive, geospatial, and predictive).\u00a0
\n\tApply timeseries, anomaly detection, and basic machine learning methods (where feasible and appropriate) to generate early signals for malaria upsurges, stratify risk, and prioritize response.\u00a0
\n\tProduce 7-1-7 scorecards for malaria at national and county levels; track timeliness from detection to response; and translate insights into actionable recommendations for managers.\u00a0
\n\tBuild clear data to decision workflows so insights trigger predefined actions (investigation, RDT resupply, IRS\/LLIN targeting, community mobilization), with feedback loops to measure impact.\u00a0<\/p>\n
Monitoring, Evaluation, Learning (MEL) & Knowledge Management\u00a0<\/p>\n
\tSupport MEL Lead to define and track surveillance specific KPIs for malaria (including 7-1-7 metrics) and integrate them into project and G2G MEL frameworks.\u00a0
\n\tParticipate\u00a0in\u00a0learning\u00a0cycles capturing best practices in\u00a0health security\u00a0digitalization, interoperability, and rapid response disseminating lessons through MoHled technical working groups and communities of practice.\u00a0<\/p>\n
Capacity Building & Partner Collaboration\u00a0<\/p>\n
\tDesign and deliver targeted capacity building (national and county) on\u00a0eIDSR, data\u00a0analysis for action, 7-1-7 operationalization, and use of digital tools\/dashboards.\u00a0
\n\tMaintain strong, trust based relationships with NMCP, KNPHI, DHA, county health teams, CDC, OFA\/Embassy Health Office, and other partners supporting MoH leadership of coordination platforms and technical working groups.\u00a0<\/p>\n
Qualifications and Experience\u00a0<\/p>\n
Education\u00a0<\/p>\n
\tMaster\u2019s degree or higher in Epidemiology, Public Health\u00a0or related field. A medical degree (MBChB\/MD) or Veterinary Medicine with advanced public health training is highly desirable.\u00a0<\/p>\n
Professional Experience\u00a0<\/p>\n
\t8\u201310+ years of progressively responsible experience in public health surveillance and outbreak response, with substantial malaria surveillance experience (casebased surveillance, outbreak investigation, entomological\/ environmental data use) in subSaharan Africa.\u00a0
\n\tDemonstrated experience strengthening IDSR and digital surveillance within government systems (national and subnational), including handson work with KHIS2\/DHIS2, EMRs, and\/or laboratory systems.\u00a0
\n\tDemonstrated experience leading PHEOC\u00a0or analogous public health response structures in Kenya.\u00a0
\n\tProven track record in operationalizing 7-1-7 (or analogous timeliness metrics), including facilitating AARs\/IARs\/EARs to identify and fix bottlenecks.\u00a0
\n\tExperience with interoperability and digital health architecture under government governance (e.g., FHIR\/HL7, HIE patterns) preferred.\u00a0
\n\tOne Health and multisectoral collaboration experience (linkages with animal\/environmental sectors) is an advantage.\u00a0
\n\tExperience in the Kenyan health context is a strong asset; experience working with U.S. Governmentfunded programs is desirable.\u00a0<\/p>\n
Technical and Professional Skills\u00a0<\/p>\n
\tStrong applied epidemiology and analytics skills (study design, data management, statistical analysis, interpretation).\u00a0
\n\tProficiency with data tools such as R or Python (analytics\/forecasting), SQL (data engineering), and Power BI\/Metabase\/Superset (dashboards); experience with GIS (QGIS\/ArcGIS) for risk mapping.\u00a0
\n\tFamiliarity with IHR (2005), IDSR, GHSA\/health security frameworks, and national digital health standards and governance.\u00a0
\n\tDemonstrated ability to translate analytics into operational decisions, with clear accountability and followthrough.\u00a0
\n\tExcellent stakeholder engagement, facilitation, and communication skills capable of liaising diplomatically with senior government officials and international partners in a governmentled context.\u00a0<\/p>\n
Language and Travel\u00a0<\/p>\n
\tFluency in written and spoken English required, Kiswahili an advantage.\u00a0
\n\tWillingness and ability to travel within Kenya (up to 25\u201330%) to support countylevel activities.<\/p>\n
Apply Through:<\/p>\n
palladium.csod.com<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"_promoted":"","_job_location":"","_application":"http:\/\/palladium.csod.com","_company_name":"Palladium International","_company_website":"http:\/\/www.thepalladiumgroup.com","_company_tagline":"Palladium develops and delivers solutions that create positive impact for communities, businesses, societies and economies. We transform lives and create enduring value by working with governments, corporations and non-profit organisations.","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job_listing_region":[692],"job-categories":[800,702,714],"job-types":[687],"class_list":["post-92693","job_listing","type-job_listing","status-expired","hentry","job_listing_region-nairobi","job-type-full-time"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings\/92693","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/users\/2"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/media?parent=92693"}],"wp:term":[{"taxonomy":"job_listing_region","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job_listing_region?post=92693"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-categories?post=92693"},{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-types?post=92693"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}