8.1.3 Step 3: Move your R scripts into the R folder.8.1.1 Step 1: Create an “empty” R package.7.8.3 Step 3: Connecting frontend and backend.7.5 Step 4: Connecting frontend and backend.7.4 Step 3: Implementing the backend (server).7.3 Step 2: User Interface (UI) / Frontend.Defining the R Code in the backend of the Shiny app 6.4 Example (continued): Least-squares function.5.5.4 Application to Nonelementary Integrals.5.5.3 Application to the Normal Distribution.4.2.3 Example: Summary Statistics with Matrix Notation.3.2.5 Note about GitHub Student Developer Pack.2.1 Create an R Markdown file in RStudio.1.2 Basic Probability and Statistics with R.Remuneration: 41,6K€ gross annual on 13 months 22 extra days off, health insurance, reimbursement 50 % of public transport title, meal voucher.French and English : read, spoken, written.GitHub portfolio or other accessible code samples desired.Strong written and verbal communication skills.Appreciation for the fundamentals of effective data visualisation.Experience working with and managing large data sets, including merging of disparate data sets, data cleaning and transformations, and providing preliminary descriptive statistics.Experience collaborating on technical projects using distributed version control with git.Strong proficiency in R programming with the Tidyverse suite of packages (required), developing and testing R packages (required), developing web-applications with R Shiny (preferred) and experience with SQL databases (preferred).Work or internship experience in public health data science strongly preferred Bachelor’s or master’s degree with a strong applied quantitative component.Take analyses that have been previously completed in less flexible software packages (e.g., Excel) and implement them in R.Act as a technical expert to the data entry teams in the field and be able to fulfill ad-hoc data requests from project stake-holders.Document the technical details of your work clearly to facilitate collaboration with other team members and ensure quality.Assist in the development of interactive monitoring dashboards using R Shiny. Assist in the development of automated data reports using Rmarkdown.O Transform data into tidy relational formats fit for analysis and visualisation O Reconcile and merge data from disparate sources O Enforce quality and consistency standards O Extract case report form (CRF) data from source Program ETL (extract, transform, load) R scripts and packages to automate the following tasks:.With the guidance of senior staff, assist in the development of the data management and reporting plan.Working in the Analytics and Visualisation team, integrated in the Research Department, the successful applicant’s main tasks will be: This position aims to increase our internal R capacity to meet the technical demands on several projects including : an Ebola vaccination trial taking place in the Democratic Republic of the Congo, a multicentric cohort study on Lassa Fever, and other activities in our research center in Niger. Epicentre is increasingly using the R programming language to manage all aspects of its data processes including acquisition, cleaning, modelling, visualisation and reporting.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |