Global Maternal and Child Health Research Data Manager

in Jobs
May 4th, 2017


Global Maternal and Child Health Research Data Manager

Boston Children’s Hospital
Harvard T.H.Chan School of Public Health
Dept. of Global Health and Population



Summary and Overview

The Data Manager will lead data coordination, data management and data analysis for global maternal and child health research projects.  We are working on several newborn and child survival projects focused on the discovery of interventions to improve child health and the delivery of care in underserved settings. The research is conducted jointly between the Harvard Chan School of Public Health and Boston Children’s Hospital.  The Data Manager will report directly to the program manager and PI and be responsible for:

  1. Developing, implementing, and managing large databases and data quality procedures
  2. Performing statistical analysis and reporting of clinical, research, and laboratory data
  3. Supervising data entry staff on data collection, entry, cleaning, and data analysis


Principal Duties and Activities:

  • Lead data coordination and management for studies
  • Develop case report forms, data management and quality study protocols
  • Develop analyses plans, generate analysis files and conduct statistical analyses
  • Design, develop, and validate databases using application software suitable for supporting research investigations, including large databases and web-based systems
  • Report with regular data reviews, quality control checks, and interim and final analysis
  • Design solutions to resolve queries in the field or laboratories
  • Develop and implement systems to continuously improve study implementation and data quality
  • Provide educational support and training on data management and quality to study staff for the development and implementation of research studies
  • Build research capacity with local partners and conduct workshops and data management/analysis courses
  • Supervise data management staff and provide project management support
  • Serve as credible expert/leader for data management best practices. Collaborate with partners to establish priorities and strategies for resource development and core goal setting, and develop data sharing policies
  • Contributes to scientific portions of manuscripts and presentations, including writing descriptions of statistical methods to analyze data, and preparing tables and graphs of study results
  • Contributes to grant writing, including sample size calculations and methods sections, following guidelines from sponsors to federal government, foundations, and research agencies.


All activities will be conducted in close collaboration with investigators and study personnel in Boston and Addis Ababa.




  1. Master’s degree in health science, public health, epidemiology, or closely related field, including course work in biostatistics or computerized analytic techniques.
  2. Two years of data management experience and analytic methods, preferably in international settings, and prior experience in supervisory/leadership role in research
  3. Knowledge of study design, sampling methods, and statistical methods, including longitudinal data analysis, multi-level modeling, survival analysis, and causal inference
  4. Analytical skills to resolve complex problems requiring the use of scientific, mathematical, or technical principles and in an organized, accurate and timely manner.
  5. Knowledge of and proficiency in a range of data management and statistical software (e.g. STATA and web based electronic data capture system such as REDCAP and Open Data Kit).
  6. Proven capability of attention to detail and accuracy on complex analytical data management.
  7. Knowledge and adherence to ethical conduct in research, FDA regulations and GCPs guidelines.



  • Excellent communication, verbal, writing, and presentation skills
  • Strong interpersonal skills and the ability to work independently, under supervision, and as part of a team with collaborators, stakeholders, and research staff
  • Excellent analytical, computer, organizational, and problem solving skills
  • Strong attention to detail, excellent time management, goal and detail-oriented work style, and meticulous and consistent follow through on projects

Working conditions

  • Full-time with occasional evenings and weekends
  • Long term commitment preferred

To apply, please submit your cover letter, CV, and three references.