Learning and Impact Associate, SUPREME LIFELINES Project

SUPREME LIFELINES Project

The project is an ambitious multi-country multi-million-dollar initiative to be implemented in Kenya Tanzania Malawi Senegal and Ghana. It aims to accelerate the uptake and use of life-saving tools for the prevention diagnosis and management of pre-eclampsia and maternal anaemia two of the leading contributors to maternal and neonatal morbidity and mortality in low-resource settings. To achieve this the project will generate evidence on feasibility and acceptability of enhanced models of care for pre-eclampsia and maternal anaemia using new and underutilized products support community demand and engagement address systemic barriers to ensure availability of key products and work to ensure uptake and scale within the focus countries regionally and globally.

Job Summary

The Learning and Impact Associate will provide technical and operational support for SUPREME LIFELINES implementation research in Kenya working closely with the Research Lead at headquarters. The role will focus on planning coordinating and executing the Kenya research and MEL plan; managing day-to-day research operations; and ensuring high-quality data collection and compliance with ethical and regulatory requirements. The Associate will manage collaborate with technical national and county teams to analyze and apply emerging evidence support adaptive programme improvements and facilitate the effective uptake and scale-up of research findings across SUPREME Lifelines implementation counties.

Principal Responsibilities

Technical and Research Support

• Support co-creation of learning questions and conceptualization/design of implementation research protocols.
• Provide day-to-day technical support for all SUPREME LIFELINES research activities in Kenya.
• Support research approvals processes.
• Support research assistant training data collection and overall study execution.

Data Analytics and Visualization

• Support data cleaning quality assurance and integration from multiple sources.
• Perform exploratory and statistical analysis using appropriate software and methods.
• Support the development and design of interactive dashboards and visualizations to communicate findings.
• Support qualitative and mixed-methods data analysis as required.

Evidence Documentation Sharing and Management

• Support in the documentation and synthetization of evidence into knowledge products (e.g. manuscripts policy briefs learning briefs blogs).
• Support dissemination of findings through webinars workshops round-ups and community/county/national forums.
• Support in the collation and management of knowledge products in Amrefs Knowledge Management Hub.

M&E Implementation

• Support MEL activities including development of MEL plans data quality assessments and project reporting.
• Monitor project implementation to capture results impacts best practices lessons learned and challenges.
• Ensure data integrity through validation and quality assurance processes.

Evidence Uptake and Scale

• Work with technical and county teams to integrate evidence into service delivery models.
• Support cross-learning and knowledge exchange across counties and at the national level.
• Support advocacy initiatives to inform policy and strategic documents.
• Collaborate with stakeholders to co-create pathways for adoption and scale-up of proven interventions.

Continuous Improvement

• Stay informed about advancements in data analytics techniques tools and technologies.
• Identify opportunities for process improvement and optimization through data-driven approaches.
• Contribute to the development of data analytics strategies and initiatives to drive organizational growth and innovation

Collaboration and Capacity Building

• Liaise with internal and external Learning and Impact experts to share best practices.
• Actively participate in Research Community of Practice meetings.
• Conduct field monitoring and mentoring visits to support implementation of the Learning Agenda.
• Support development and review of guidelines and SOPs to institutionalize learning.

Business Development

• Support resource mobilization through proposal development in partnership with technical leads.

Reporting and Integration

• Support production of the Annual Technical Report.
• Support integration of Learning and Impact activities within the broader MEL unit and project structure.

Qualifications :

Education and Experience

• Bachelors degree in Data Science Information Management Statistics Demography Epidemiology or a health-related field.
• At least 3-5 years of experience as a Research or Impact Assistant Data Analyst or similar role with a strong track record of data analysis and interpretation preferably within a health- oriented NGO
• Proven experience in designing and leading implementation research in maternal health will be an added advantage
• Detailed knowledge of key research tools quality assurance skills research coordination and management stakeholder engagement Writing skills dissemination and evidence translation best practices and familiarity and application of Artificial Intelligence (AI).
• Experience working with County devolved health system and thorough knowledge on Kenya Health Information System (KHIS) and Kenya electronic Community Health Information System (eCHIS)
• Proficiency in programming languages such as Python R SQL or similar for data manipulation and analysis.
• Experience in qualitative data analysis and designing mixed methods studies
• Experience with data visualization tools such as Tableau Power BI or similar.

Knowledge Skills and Competencies

• Knowledge of statistical techniques machine learning algorithms and data mining methodologies.
• Excellent analytical and problem-solving skills with the ability to translate complex data into actionable insights
• Experience in experience in research regulation processes i.e. Ethics and NACOSTI approvals
• Effective communication and interpersonal skills with the ability to collaborate effectively with cross- functional teams.
• Attention to detail and a commitment to maintaining data integrity and quality.
• Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment

Additional Information :

Please include a cover letter that highlights why you believe you are an ideal candidate for this role along with your CV showcasing your relevant skills and experience. Applications will be reviewed on a rolling basis with the application deadline being January 29 2026.

Amref Health Africa does not require applicants to pay any money at whatever stage of the recruitment and selection process and has not retained any agent in connection with recruitment. Although Amref may use different job boards from time to time to further spread its reach for applicants all open vacancies are published on our website under the Vacancies page and on our official social media pages. Kindly also note that official emails from Amref Health Africa will arrive from an @ address.

Amref Health Africa is committed to safeguarding and promoting the welfare of children young people and vulnerable adults and expects all staff to share this commitment. Amref Health Africa is is dedicated to diversity and is an equal-opportunity employer with a non-smoking environment policy.

Remote Work :

No

Employment Type :

Full-time