Vacancy for Data Management and Statistics Technical Lead
By admin On 2 Sep, 2017 At 12:14 AM | Categorized As Jobs | With 0 Comments

In partnership with the Centers for Disease Control and Prevention (CDC), ICAP conducts Population-based HIV Impact Assessments (PHIAs) in specific PEPFAR-supported countries. Each PHIA defines the status of the national HIV epidemic, guide global and local allocation of funding and resources based on evidence, and integrate capacity building of country stakeholders in the design, conduct, analysis, and use of PHIA data.


Reporting to the Technical Director, the Data Management and Statistics Technical Lead will oversee the PHIA Nigeria (NPHIA) project’s statistical and data management-related activities and will work closely with the Principal Investigator and regional and country office technical staff to analyze and evaluate the progress of project activities and outcomes.


Provide guidance and leadership to a team of highly qualified survey statisticians, demographers and data analysts to:
– Direct sample size estimation and power calculations for HIV impact assessments
– Direct development of survey weights for household, individual interview, blood draw and any subsampling implemented
– Collaborate with HIV disease modelers to integrate PHIA results into currently available models
– Lead/collaborate on analyses for presentations and manuscripts of PHIA results
– Support activities to build local capacity, including providing mentoring and training in sample design, sample size calculations, first and second stage sampling and development of survey weights to local implementing partners
– Direct develop descriptions of sampling and weighting plans that are suitable for project reports
– Lead preparation of public release datasets and documentation

Provide high-level guidance and leadership to a team of information and communication technology specialists and data managers to:
– Define specifications for electronic data collection applications
– Interface with developers and test the data collection applications
– Direct the development of the PHIA data architecture
– Facilitate the aggregation, cleaning and management of questionnaire data
– Lead the aggregation, cleaning and management of laboratory data
– Direct the monitoring of large scale survey operations for quality assurance and efficiency, including defining tools and metrics to assist with the monitoring effort

Lead the development of a comprehensive monitoring and evaluation framework to be used for both individual countries and the NPHIA project as a whole
Perform other related duties as directed

PhD (or equivalent) in epidemiology, statistics or related field

Minimum eight (8) years of experience in statistical research in health Minimum three (3) years of experience in the design, implementation and evaluation of population-based surveys
Demonstrated and successful experience in managing complex, large-scale databases and a focus on research methods
Expertise in survey statistics, as evidenced by supporting publications, presentations and other accomplishments
Demonstrated experience in conducting and coordinating household surveys, data analysis and training professional statisticians
Expertise in information and communication technology and data management software
Excellent communication, writing and quantitative skills, including the development of measurable objectives, operational plans and measurable indicators/targets for public health programs and projects
Fluent English oral and written communication skills; demonstrated ability to interact professionally in English
Application Instructions

To apply, please send your CV and cover letter to with “Data Management and Statistics Technical Lead” in the subject line.

Columbia University is an equal opportunity and affirmative action employer. It does not discriminate against employees or applicants for employment on the basis of race, color, sex, gender, religion, creed, national and ethnic origin, age, citizenship, status as a perceived or actual victim of domestic violence, disability, marital status, sexual orientation, status as a Vietnam era or disabled veteran, or any other legally protected status.

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