Data Science Advisor at APIN Public Health Initiatives Limited / Gte

APIN Public Health Initiatives Limited/Gte, formerly known as AIDS Prevention Initiative in Nigeria is a non-governmental organization registered with the Nigerian Corporate Affairs Commission (CAC). APIN has built a strong partnership with the Nigerian Government, which is memorialized through a memorandum of understanding (MOU) with the National Planning Commission. APIN is a leading Nigerian organization in the provision of prevention, care and treatment services to patients with HIV/AIDS, Tuberculosis; Malaria; Reproductive Health; Family Planning; Maternal, Newborn and Child Health, and other non-communicable diseases of public health significance.

We are recruiting to fill the position below:

Job Title: Data Science Advisor

Requisition ID: api-40309
Location: Abuja
Employment Type: Full Time
Department: Data Sciences

Position Summary

• The Public Health Information Surveillance Solutions and Systems (PHIS3) project is a US Centre for Disease Control and Prevention (CDC) funded project to strengthen systems to improve HIV service delivery and other public health interventions through continuous quality improvement, monitoring and evaluation, Surveillance, Health Informatics and laboratory quality management in Nigeria.
• This project will work with implementing partners, national and sub-national health managers, health workers and other stakeholders to strengthen the already existing national data repository and other modules which has helped to improve harmonisation of fragmented information systems, reduce duplication of data collection and improve monitoring and tracking of national level health trends and priorities.

Position Description

• S/he will lead the collection of large datasets from different sources, clean, analyze and draw insights for improved program implementation.
• In addition, S/he will design Innovative solutions at short notice, participate in scientific publications, including peer-reviewed publications, liaise with stakeholders and provide solutions for their data need.
• The Data Science Advisor will report to the Director of Monitoring, Evaluation and Surveillance.

Duties and Responsibilities

• Write scripts for frequent on-demand and routine data analysis for both internal and external use
• Analysis of big data In HIV, TB or any other field assigned by the supervisor
• Work with large datasets and perform basic procedures such as sub-setting, merging, deduplication, re-labelling, amongst other important
• Build models such as predictive models using advanced statistical and machine learning approaches
• Use machine learning (ML) and neuro-linguistic programming (NLP) to provide  greater insight, accuracy, and consistency
• Analyze data using appropriate, advanced statistical methods such as multiple linear regression, mixed effect modelling, amongst other methods
• Carry out data analysis, draw inferences and write the report
• Design surveys, determine sample size, write and review research reports, and share research findings in different dissemination platforms, including conferences and peer-reviewed journals
• Build simple to complex program dashboards on Excel, PowerBI and or other platforms
• Work with team members from other departments
• Other tasks that may be assigned.

Qualifications

• Master's and/or Ph.D in Data Science, Mathematics, (Bio)statistics, Epidemiology, Computer Sciences or any related scientific field is required.

Experience:

• A minimum of 5 years’ experience doing data analysis or epidemiology in HIV programs, or any infectious disease program such as TB
• Professional experience working with at least two of STATA, Python, R, and/or MySQL.

Knowledge, skills and attributes:

• Excellent Excel skills
• Strong mathematical, statistical, and machine learning skills
• Strong critical thinking, problem solving and innovative approach to challenges
• Great interpersonal skills, communication (written and spoken) skills, accountability and integrity
• Great team-player, attention to details and accept feedback.

Language:

• Fluency in English Language (professional level).

Application Closing Date
23rd May, 2022.