Education Officer, R for Epidemiology (remote)

Job Summary

Ideal for a competent R programmer with a background in epidemiology or a similar field, who is passionate about data science education. The rapid collection, analysis, and communication of data is a cornerstone of public health. But a variety of bottlenecks obstruct the traditional pipelines that should produce adequately trained health data analysts in many developing countries. The GRAPH network, Geneva, has received an initial seed grant from the WHO to build and deliver online courses that will empower public health professionals with expertise in modern, programmatic tools for working with health data. Development of the tutorials and the learning platform is in progress and can be seen at this URL: https://thegraphnetwork.training. The selected candidate will become a founding member of a small, diverse team that is creating these materials.

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 2 years

Job Description/Requirements

Duration and rate:

  • The contract will be for 5 months initially, with the possibility of extension, contingent on funding allocation. The initial rate will be set between 50% (half-time) and 100% (full-time), depending on what proportion of the required tasks the selected candidate is qualified to perform.

Responsibilities:

  • Building engaging course materials that teach R skills for epidemiology (including text tutorials, video demos, practice quizzes, and summative assessments)
  • Searching for and repurposing existing open-source tutorials for the learning needs of our target audience
  • Engaging with potential and actual users to understand needs and address feedback
  • Designing and customizing the online learning management system that hosts the training material
  • Training and mentoring other employees, interns, and external contributors

Requirements:


Essential

  • At least two years of experience using R, Rmarkdown, and the Tidyverse.(“Experience” can include time spent learning these tools.)
  • Background in epidemiology or a similar field
  • Passion for education, with some (formal or informal) teaching experience
  • English fluency

Ideal

  • Experience working in, or collaborating with, health institutions in low or middle-income countries 
  • Experience with WordPress and web design
  • French fluency

Perks of the Role:

  • Flexible hours
  • Fully remote
  • Engaging work on a variety of tasks
  • Opportunity to grow together with a dynamic team that is passionate about transforming health data science education

Application process


Interested applicants should submit the following materials:

  • A CV or resume
  • A cover letter describing how their knowledge, skills, and abilities align with the job description and project vision. 
  • Evidence of R expertise. This could be a project whose development you led, a GitHub account, a StackOverflow profile, a published or in-progress scientific paper (with code) where you played a key role in the analysis, etc. Can be linked in the CV, or sent separately.

Applications will be processed on a rolling basis until the final deadline, Friday, January 28, 2022, 23:59 CET.


Longlisted candidates will be asked to prepare a teaching sample: a text, video, or interactive web tutorial that demonstrates their pedagogic skills and philosophy.


Shortlisted candidates will then be invited to a remote interview.


The estimated start date for the role is February 15, 2022.

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