About Vacancy:
Position: Data Manager
Location: Kathmandu
About Organization:
Possible is a collaborative organization that develops and tests innovative solutions to improve health in Nepal by responding directly to local needs, while contributing to the broader fields of global health research, practice, and policy. It is a partnership between an independent Nepal-based non-governmental organization and a US-based non-profit organization.
Possible envisions a world where everyone, everywhere has access to high-quality healthcare grounded in evidence, inclusion, and equity. To achieve this, the organization conducts rigorous, collaborative research and innovation to address gaps in evidence, implementation, and policy related to healthcare quality, accessibility, and equity.
Possible prioritizes the development and implementation of interventions that lead to real improvements in health outcomes, rather than focusing solely on academic outputs. The organization works closely with community-based organizations, and public and private academic and research institutions to apply evidence-based solutions to Nepal’s healthcare challenges.
For over 16 years, Possible has been a leader in healthcare innovation in Nepal, conducting implementation research in partnership with leading international institutions, including Harvard Medical School, the University of California San Francisco, Mt. Sinai School of Medicine, and the University of Washington
About Position:
Possible is seeking a Data Manager to lead longitudinal data management and advanced analysis for a community-based stepped-wedge cluster randomized controlled trial, and to strengthen data systems across other research and innovation projects in collaboration with partners.
The Data Manager will work closely with the research team and advisors to design, implement, and manage a strong data management system that meets Possible’s internal standards as well as National Institutes of Health (NIH) data requirements. The ideal candidate will demonstrate a strong commitment to Possible’s mission, vision, and values.
Reporting to: Principal Investigator / Study Managers / Associate Scientist
Supervises: Data Analyst / Data Officer
Works closely with: Possible team, advisors, and partner organizations
Duty station: Kathmandu, with approximately 30–40% travel to intervention sites
Key Responsibilities:
The Data Manager will work closely with the research team advisors, partners and relevant stakeholders to be chiefly responsible for the following areas of work:
1. Strengthen and implement data collection, management, and analysis plans to support intervention and implementation research protocols, covering all data processes, analysis activities, and manuscript preparation.
- Serve as the primary focal point for quantitative study design and data management systems for intervention and implementation research at Possible.
- Lead data extraction, cleaning, processing, and management of complex longitudinal datasets from community-based stepped-wedge cluster randomized controlled trials.
- Develop and strengthen comprehensive data analysis plans aligned with implementation research protocols.
- Oversee field data collection logistics, including quality assurance, validation, and monitoring before and after interventions.
- Coordinate with multiple partners, including government stakeholders, to support data collection, access, and extraction as needed.
- Work closely with Biostatisticians, Data Analysts, Research Managers, Advisors, and digital partners to ensure effective coordination of data collection, management, and analysis across projects.
- Design, build, and maintain digital data collection systems for longitudinal studies, including documentation, staff training, and compliance with Possible’s data SOPs.
- Lead the integration and migration of data systems, tools, and templates (e.g., CommCare to Community Health Toolkit, REDCap to OpenMRS).
- Implement data management and data-sharing plans, including secure archiving and storage in line with NIH requirements.
- Conduct quantitative data analysis using STATA to evaluate the effectiveness of community-based behavioral interventions.
- Summarize and interpret findings, and collaborate with the research team to triangulate quantitative results with qualitative and survey data.
- Ensure ethical research practices by implementing mechanisms aligned with institutionally approved research protocols.
- Support the dissemination of research findings across multiple platforms and target audiences.
- Co-lead the preparation of peer-reviewed manuscripts and lay articles in local languages, drawing on final analyses and key research insights.
2. Strengthen the institutionalization of data collection platforms and quality assurance mechanisms through research capacity building of team members and partners, while maintaining a well-organized and functional data repository system.
- Lead discussions with internal teams and partners to identify data needs across research projects.
- Co-lead or support the design of digital questionnaires and data collection tools.
- Support the establishment of data quality assurance systems across all research projects, including regular field visits for data quality assessments.
- Travel to project implementation sites to learn from field processes and continuously improve implementation and data quality mechanisms.
- Conduct training and orientation for program and research teams on data collection tools, data quality, and validation procedures.
- Build team capacity by leading orientations on quantitative data management, supporting the development of data collection and analysis plans, and facilitating data triangulation with qualitative and other data sources.
- Strengthen the capacity of direct reports by guiding them on standard data handling procedures and proper process documentation.
- Support capacity building of partners and stakeholders involved in research projects on digital data platforms, data quality assurance, data extraction, cleaning, and descriptive analysis in line with project M&E plans.
- Ensure that quantitative data from all research projects are securely stored, encrypted, and maintained in the data repository, with regular updates.
- Lead the revision, strengthening, and operationalization of Possible’s longitudinal data SOPs, in collaboration with the research team, advisors, and partners.
3. Support the strengthening of Possible’s workplace culture and strategic partnerships, contribute to resource mobilization and revenue generation, and support multiple projects to advance research and innovation initiatives.
- Contribute to translating implementation research findings into research and non-research grant proposals to strengthen equitable health access for vulnerable populations.
- Support the Possible team and advisors in planning and advancing research on health access, quality, and equity.
- Advance Possible’s vision, mission, and strategic goals by supporting partner mapping and strategic engagement for ongoing and future research initiatives.
- Contribute to research efforts that promote social justice in Nepal and globally.
- Support the development of organizational systems, accountability structures, and workplace practices rooted in equity, justice, and diversity.
- Participate in internal and external working groups and ad-hoc meetings to address emerging organizational and programmatic needs.
- Contribute to strengthening Possible’s research model, partnerships, and organizational systems.
- Guide teams to maintain a people-centered approach in all research and program activities.
- Support compliance with legal, regulatory, and governance requirements.
- Collaborate with national and international organizations to strengthen and expand information system management.
- Lead and support the dissemination of quantitative research findings at national and international platforms, working closely with research teams, advisors, and partners.
The responsibilities listed above are not exhaustive. The Data Manager may be required to undertake additional duties, as agreed upon through discussion with the Multiple Principal Investigators or their line managers.
Required Skills and Qualifications:
- Strong commitment to Possible’s mission, vision, and organizational values.
- Demonstrated understanding of intervention and implementation research.
- Proven experience managing large and complex longitudinal databases, including data collection, management, and advanced analysis using STATA.
- Hands-on experience with digital data collection platforms such as REDCap, CommCare, Community Health Toolkit (CHT), ODK, or similar systems.
- Ability to work effectively with diverse, multidisciplinary teams, with flexibility and willingness to travel extensively to urban, semi-urban, and remote areas of Nepal.
- Master’s degree in Statistics, Public Health, or a related field.
- Minimum of five (5) years of relevant professional experience in research data management and analysis.
- At least 1–2 peer-reviewed research publications, preferably as first author.
- Excellent written and spoken communication skills in Nepali and English.
- Nepali citizen currently based in Nepal.
Application Process:
Interested candidates are requested to submit their CV and cover letter via email to recruitment@possiblehealth.org
Please include your full name and the position title in the email subject line.
Applications will be accepted on a rolling basis until the position is filled.
Only shortlisted candidates will be contacted to proceed to the next stage of the selection process. Due to the high volume of applications, individual responses may not be provided.
