Upgrade and Implement IRC’s Data Systems for Research:
Establish and drive uptake of a set of Standard Operating Procedures for data capture, data management and data analysis within the context of research projects.
Establish and drive uptake of a set of shared resources for data capture, data management and data analysis including templates for electronic survey modules and dashboards, databases and analytic code.
Assist in the training of researchers and systems managers to use identified best-practices and follow SOPs
Develop, implement and disseminate gold standard research practices for data capture, analysis and management
Design resources for researchers, based on own expertise and their previous projects, such as example reports, advanced analysis walkthroughs, a list of internal and external contacts for advanced topics, coding communities of support, and more
Advise on the development of ongoing analysis for pre-existing data
Drive the use of cutting-edge data science methods in research:
Identify and prioritize a set of frontier methods that are highly relevant to IRC research.
For example, this may include the use of alternative data sources (e.g. satellite data, geospatial data and cell phone data), the data requirements for emerging research methods (e.g. adaptive RCTs of digital innovations, analysis of chatbot data) and/or AI-powered search and synthesis of data across IRC’s internal data libraries.
Build a portfolio of projects supporting research teams to design and implement studies leveraging these frontier approaches and best available technologies.
Develop a mentorship plan and community of practice around advanced data analysis
Introduce innovative data collection and management technologies appropriate to low-resource settings
Pursue “leap-frog” technology solutions to support teams and encourage their usage when identified.
Develop relationships with vendors that provide under-utilized technologies our research teams can use
Key Working Relationships:
Position Reports to: Research & Innovation Senior Director of Research
Position directly supervises: NA
Other Internal and/or external contacts:
Internal: Research practice team members, MEAL team members
External: Technology vendors
Qualifications:
Education: Master’s degree in field related to data management and analysis, with a background in public health preferred.
Demonstrated Skills and Competencies: Demonstrated experience (5-8 years) collecting, managing and analyzing complex data, ideally in resource limited settings. Excellent problem solving and communication skills. Ability to work independently.
Technical Expertise: High proficiency with STATA or R, Power BI, CommCare and Excel. Knowledge of frontier methods and applications.
Field Experience: Familiarity with and willingness to travel to fragile / conflict-affected contexts.
Team work: Able to work with remote, multi-cultural, and multi-disciplinary teams
Training Skills: Able to transfer technical knowledge and skills
Language Skills: English required, French and/or Spanish proficiency is a plus
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