Consultant – Perinatal Trial Database and Monitoring Research at World Health Organization

Purpose of consultancy

To collaborate with the WHO team and country project teams working on the ACTION III trial, to verify ongoing data collection, run analyses and provide feedback to the country teams, and to the stakeholders including the data safety and monitoring board.

Deliverables

• Deliverable 1:
  • To interact with each country project team from different WHO regions and the technical unit to discuss issues identified with accruing data. 
  • To follow up with each country team, trouble shoot and advise on issues related to data management. 

The deliverable will be a quarterly report on the database monitoring done with each country team, issues identified, and solutions provided. 

• Deliverable 2:
  • Conduct interim analysis of data including serious adverse events and preparation of quarterly statistical reports for the data safety and monitoring boards. 

Qualifications, experience, skills and languages

Educational Qualifications:

Essential:

• University degree in a public health related field, nutrition /global health/ development studies.

Desirable:

• Master's degree in epidemiology and biostatistics.

Experience

Essential:

At least 4 years of relevant experience in the field of research and data analysis, including:

• Experience with research, data management and analysis in perinatal medicine.
• Experience of data support in large multicounty trials in the area of newborn health clearly demonstrable.
• Experience of preparation of interim data reports for DSMBs for perinatal trials clearly demonstrable.
• International peer reviewed publications in the area of newborn health/ perinatal studies.

Desirable:

• Previous experience with WHO-coordinated multi-center studies.

Skills/Knowledge:

Essential:

• Strong knowledge and fluency in SAS/STATA.
• Knowledge of preparing interim data reports for DSMB perusal.
• Strong written and oral communication skills in English.

Desirable:

• Knowledge of executing a trial statistical analysis plan from a database perspective

Closing Date: Mar 21, 2023