Data Analyst Activity Manager at Medecins Sans Frontieres

Main Purpose

• Defining, coordinating, and monitoring all data related activities including data collection, analysis, reporting, monitoring and evaluation processes according to MSF protocols, standards and procedures in order to ensure quality medical care for patients and their communities and to improve the health condition of the population.

Job Description

• Participate in designing, reviewing, and adapting data management (DM) tools according to the ENABLE study (https://shorturl.at/htDW7) protocol, and ensure that all the deployed DM tools at the site are up to date.
• Providing technical support to the field workers in the implementation of routine data collection at the Kenema General Hospital (KGH) study site and ensure strict adherence to the study Standard Operating Procedures (SOPs), and participant follow-up schedules. Support the site field team in the identification and resolution of challenges encountered during data collection.
• Developing and implementing data quality assurance methods to ensure accuracy and reliability of the information, respect, and confidentiality all participant information and good clinical practice.
• Managing and supervising the work of the field team for quality assurance including identification of training needs and providing coaching and capacity building for the staff on issues related to data. Also, monitoring the fieldworker activities by conducting data quality checks of study participants.
• Participate in the planning and recruitment, with support of the site HR department, of the fieldworkers and the data team to ensure an appropriate team in terms of size, capabilities, and skills for proper implementation of the ENABLE programme.
• On a weekly, monthly basis or upon request, prepare data reviews or/and field visit reports about the implementation of the study, and make presentations during the Programme HQ meetings.
• Performing additional activities whenever needed and as requested by the supervisor.

Requirements
Education:
Essential:

• Computer Science, Statistics, Epidemiology or Public Health
• Desirable: Master’s Degree with extensive training in Statistics
• Mandatory: Bachelor’s Degree in Computer Science, Statistics, Epidemiology or Public Health

Experience:
Essential:

• At least 2 years of experience in Data Management in African contexts

Desirable:

• MSF or other NGOs experience
• Experience in computer systems administration including a very good experience in using the REDCap database management software.
• Previous experience in Lassa Fever research will be an asset.

Languages
Essential:

• Fluency in spoken and written English

Desirable:

• Local language in work area

Competencies:

• People Management and Development L2
• Commitment to MSF Principles L2
• Behavioural Flexibility L3
• Results and Quality Orientation L3
• Teamwork and Cooperation L3
• Autonomy and Proactiveness L3

Knowledge:

• Good clinical practices (GCP)
• Essential computer literacy (word, excel and internet) and statistical packages, STATA, SPSS,
• SAS
• Essential knowledge of clinical studies (phases, designs, etc.)• Strong written and verbal communication skills.

Remuneration

• According to MSF salary scale (Level 9) plus 13th month allowance equivalent to 1 month of gross salary.