Data Manager at Maryland Global Initiatives Corporation Nigeria (MGIC)

Objective

• Manage, Analyze data and Communicate findings in written documentation and presentations

Purpose

• MGIC is seeking a Data Manager to support the COVID-19 Seroprevalence Survey with a population-based survey of about 2,040 randomly selected households and about 10,200, Support the development of routine data freezes and analytical data sets Integrate machine learning and artificial intelligence algorithms into routine data use of patient-level data from the NDR.

Requirements

• Relevant education and experience in Data Management and Analysis
• Resume

Qualifications

• Master's Degree in Mathematics, Statistics, Biostatistics, Epidemiology, or related scientific field is required. A Ph.D is an advantage
• Experience: Minimum of 5 years working experience doing data analysis or epidemiology
• Specialized knowledge: Expert use of at least 2 data management and analysis tools
• Skills: Strong mathematical skills, Statistics skills, Problem-solving, Adaptability, Written and oral communications skills, Strong teamwork skills, Critical thinking, and Strong computer background
• Interpersonal / Individual Competencies: ability to work with other team members, flexibility; decisiveness and personal integrity
• Professional Certification: Certification in any applicable Health care professional body is desirable.

Tasks
Work with COVID 19 Sero Survey team on Data Management:

Deliverable - Estimated Level of Effort (70%):

• The Data Manager Will support the COVID- 19 Seroprevalence Survey. This is a population-based survey with about 2,040 randomly selected households and about 10,200 Individuals In the selected states of Nigeria
• Track sample transfers snd ensure that results from NRL are properly documented and added to field data sets
• Track and ensure that the cross-sectional survey data set and the longitudinal follow-up data as well as the results from the NRL and correctly linked
• Support the analysis of complex survey data Provide survey statistics support, consultation, and analysis
• Support data management processes including data cleaning
• Develop and use macros or other procedures for automating statistical analysis Communicate findings in written documentation and presentations
• Assist in-country report writing and writing peer-reviewed papers
• Support in the development of materials for public release of the COVID. 19 Seroprevalence Survey datasets
• Be available to support other activities within UMB portfolio.

NDR
Deliverable - Estimated Level of Effort (30%):

• Support tlse development of routine data freezes and analytical data sets
• Integrate machine learning and artificial intelligence algorithms into routine data use of patient-level data from the NDR.

All proposals will be evaluated and scored on the following criteria:

• Availability- 20%
• Cost - 20%
• Experience & Qualifications - 30%
• Capability to provide service - 30%

Content of Response
A complete proposal will include the following sections:

• Budget and Cost:
  • List Fees in cost per hour at 8 hours per day
• References:
  • Please attach references including names, organization, and contact information for three (3) clients who can provide insights regarding skills, qualification and delivery of requested training services.

Include in your response the anticipated date to start service. All responses must be in English.