International Healthcare Data Scientist Germany , Leipzig , 04107

  1. Technical Project Execution: You will be part of several project teams in Leipzig, London, Singapore, Shanghai, aiding/guiding them in tasks related to technical infrastructure. That includes CATI/CAWI programming (mainly in LimeSurvey), methodological counsel, setting up processes (R scripts) for data export, processing and storage, implementing automated quality control and creating a variety of excel-based tools for content teams and project management.

  2. Data Analysis: You will also support or lead script-based analysis of projects, conducting statistical analyses / modelling and implementing different kinds of deliverable in collaboration with the content team. These include Excel and PowerPoint-based results and web-based solutions like RShiny or Tableau apps. Most projects will be healthcare-related.


The candidate should ideally possess the following skills/relevant experiences:
- Good command of the R language (ideally with background in dplyr, tidyr, ggplot2, shiny), or extensive experience in data analysis using any other language (e.g. Python) and willingness to learn R
- High proficiency in using PowerPoint and Excel (formulas, pivoting)
- Willingness to build up and extend knowledge in different side skills like: Web languages (HTML, JavaScript, CSS, PHP), VBA, SQL
- Ability to manage tasks with a high degree of organization, conscientiousness, self-sufficiency and pro-activity
- Highly analytical thinker, enjoy intellectual challenges
- Exceptional command of written and spoken English

You will be able to demonstrate:
- Excellent people skills, with the ability to motivate teams and work well with people across all levels in the organization
- High business acumen with versatility to think inside and outside of the box
- Ability to work independently and among teams, in a fast paced team structure
- Superior communication skills
- Highly self-aware, flexible and focused on solutions
- Highly analytical, organized and meticulous
- Versatile and able to think inside and outside of the box
- Able to work in a fast pace team structure


Retirement plan   

Other Details

Employement Type
: Full-time
Experience Level
: Associate
Job Category
: Data Analyst
Education Level
: Unspecified
Closing Date
: December 31, 2021