Dashboard / Visualization Developer in R / Shiny (Consultancy) at African Field Epidemiology Network (AFENET)

Project Description

• The consultant will be responsible for turning datasets into interactive dashboards, and supporting the cleaning and structure of these datasets to be incorporated into the dashboards.
• The consultant will also be expected to know and apply best-practice design principles, and advise on design and implementation considerations.
• Additionally, the consultant should provide mentorship and guidance to other staff, both within AFENET team and to external stakeholders.
• This may include but not limited to preparing and delivering training, presentations; or ad-hoc support to resolve coding problems.

Project Responsibilities

• Develop, maintain and deploy the front and backend code of the Shiny applications
• Cooperate with Product Owner, product team, and other developers from the team.
• Troubleshoot and bug fix issues reported by the technical team
• Create and maintain documentation

Qualifications

• Minimum Bachelor degree or higher in one of the related fields (Computer Science, Data Science, Health Informatics, Computer Engineering, and Mathematical Engineering ) or related field; or equivalent work-related experience

Required Skills:

• Excellent programming skills in R
• Expertise in Functional and object-oriented programming in R
• Good knowledge of R package structure
• Minimum 3 years of hands-on experience with Shiny
• framework.
• Hands-on experience with data visualization in R (ggplot2, plotly)
• Excellent experience developing interactive dashboards using Shiny package; applications should include links to portfolio and role in developing project
• Additional experience in enterprise software development and languages a plus; as are experience using other prominent visualization tools (such as D3, Tableau, Power BI, Qlik)
• Graphic design skills a plus
• Experience with good software engineering practices, including unit testing, technical
• documentation, code encapsulation and version control systems (Git)
• Basic knowledge of Continuous Integration principles and tools
• Experience working in diverse and geographically distributed teams
• Being a self-starter and problem solver; able to work independently; and comply with multiple, tight deadlines; and deliver highest quality results; applications should include references, which will be checked
• Creative, innovative problem solver: ability to turn data into compelling visualizations with the programming mettle to solve intractable problems to achieve results through beautiful code
• Excellent communication, advanced English reading, writing, listening and speaking

Nice to have skills:

• Knowledge of (bio)statistics and / or bioinformatics
• Experience with virtualization technologies (e.g. Docker) and Linux shell