Data Manager

Chemonics International, a leading international organization based in Washington, D.C., seeks a Short-term Data Manager to SAII Associates Ltd/Gte, an associate company of Chemonics International Inc. in the implementation of the USAID funded Strategic HIV/AIDS Response Program (SHARP) Task Order 01 & 03 activity in Nigeria. This activity aims to identify and support proven interventions through improvement of service delivery and strengthening health systems with an expanded effort with the Government of Nigeria (GON) in Adamawa, Bauchi, Borno, Kano, Jigawa, Yobe, Kwara, Zamfara, Sokoto, Niger and Kebbi States. The objectives of the activity include 1) Targeted and efficient HIV and TB case identification and linkage to care and treatment; 2) Enrollment of patients on HIV/AIDS therapy with adequate adherence and minimal loss to follow-up; 3) Successfully suppress HIV viral load; and 4) Increase GON capacity to expand, coordinate and finance HIV/AIDS and TB services. This position will be based in Abuja, Nigeria.

HIV programs around the world have adopted differentiated service delivery (DSD) models to enhance retention, improve treatment outcomes among people living with HIV (PLHIV), and decongest health facilities. Several community drug refill models have emerged as effective DSD models. Nigeria adopted some of these models as part of the COVID-19 response in 2020/2021. The Data Manager will support a study that proposes to: –

• document the different models implemented during the COVID-19 response,

• describe experiences of the beneficiaries and providers,

• determine outcomes on key indicators (retention in care, viral suppression) and,

• analyze the cost-effectiveness of the various DSD models.

The Data Manager will at all times adhere to and act in accordance with the Chemonics Professional Code of Ethics (“Living Our Values”) and will make the principles of the Code a part of the project’s culture and standard operating procedures.

Principal Duties and Responsibilities

• S/he will take the lead in developing data capturing tools to be used on mobile devices, field-testing, and data collection processes.
• S/he will develop a data analysis plan, manage the database and conduct appropriate data analysis as well as participate in knowledge generation and utilization efforts.
• Responsible for developing mobile-based data collection instruments, develop and maintain database, develop data abstraction algorithm, ensure data abstracted and collected is uploaded, and perform preliminary data cleaning. (Preferably using Redcap)
• Design, implement, and track queries; coordinate with other research staff to resolve data problems.
• Manage, reformat, enter, edit, merge and maintain data in preparation for analysis
• Program data validation checks
• Program, test, maintain and update data entry applications for manual data entry or electronic data capture.
• Plan, implement, and document data audits and data quality site visits
• Responsible for maintaining all study forms.
• Supports existing staff at clinic and interviews of the new hires and trains them to meet study requirements. S/he manages performance reviews and mediates any performance issues that may arise.
• Contribute to preparing presentations and manuscripts for publications.
• Define and execute processes for identifying potential data problems due to transcription, keying, or recording errors.
• Use statistical software for qualitative and quantitative analysis like R, SAS, STATA, Nvivo, MAXQDA, etc to analyze data and prepare reports.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Required Skills and Qualifications

To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The qualifications listed below are representative of the required knowledge, skills, and/or abilities needed to perform the principal duties.

• Bachelor’s degree in health-related science.
• MSc, MPH, or MSHS degree in data science, epidemiology, or implementation science will be an added advantage.
• At least 5 years related experience working in health research/ projects as data/M&E lead or point of contact (PoC).
• Data management skills with a proven understanding of the principles of data management and administration.
• IT and database skills with familiarity with modern databases and IT systems and how they work.
• Analytical skills with proficiency in analyzing large amounts of data.
• Problem-solving skills to be able to tackle problems under pressure.
• Communication skills with excellent verbal and written communication skills. Fluency in English is required.

Supervision

The Data Manager will provide research technical support to the Principal Investigator, site project leads, and research team, and the SHARP T01 & T03 M&E Team in implementing research activities. As teamwork is crucial to the success of the project, the Data Manager will be expected to closely coordinate with other project staff, as per direction from the Principal Investigator, site project leads, and research team, and the SHARP T01 & T03 M&E Team.

Location of Assignment

The location of the assignment is Abuja, Nigeria with intermittent travel throughout the country.

This position is open to applicants who are cooperating country nationals (CCNs) and eligible to work in the country of Nigeria. CCN is defined as a cooperating country citizen or a non-cooperating country citizen lawfully admitted for permanent residence in the cooperating country.

The protection of your personal data is important to Chemonics. If you are located in the EU, please read our EU Recruiting Data Privacy Notice to learn how we process your personal data. For more information, please read the EU Recruiting Data Privacy Notice here: https://chemonics.com/eu-recruiting-data-privacy-notice/

Chemonics is an equal opportunity/ Affirmative Action employer and does not discriminate in its selection and employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability, or protected veteran status, genetic information, age, membership in an employee organization, or other non-merit factors.