2x Junior Data Analysis Expert (ro-959)

Status: 
closed
Location: 
4070 Basel
Start Date: 
2017-08-01
End Date: 
2017-12-29
Deadline: 
2017-07-18 10:30
Hours per day: 
8,00
Hours per week: 
40,00
Workload: 
100%
Assignment: 

Background

We are looking for a number of roles to support the Pharma Research and Early Development (pRED) Digital Biomarker program. This program’s objective is to develop digital biomarkers for Pharma. The program’s focus areas are: 

  1. Design digital biomarkers: Define ways to capture clinical outcomes using sensor data collected from smartphones and wearables 
     
  2. Develop apps and data processing pipeline: Establish processes, software, and infrastructure to handle big data collected from sensors in clinical trials 
     
  3. Deploy digital biomarkers to clinical studies: Generate data to validate approaches and support decision making 
     
  4. Analyse and interpret sensor data: Identify signals for disease severity and progression in sensor data collected from patients in trials 

General information 

  • Start Date: asap
  • End Date: 29.12.2017 (until end of year) 
  • Work Load: 100% 
  • Remote: 1 day per week, prior approval needed. 
  • Extension: Possible, but not approved yet. 
  • Travelling: Limited travel, if the project requires, 0 to 25% possible (Europe & USA for meetings, conferences and workshops) 
  • Department: pRED Informatics (PXIZ) 

Tasks & Responsibilites

 
The successful candidate will be analysing large amounts sensor data collected from smartphones and other wearables in clinical trials to discover digital biomarkers required to assess drug efficacy. 

Requirements: 
  • Very good university degree in mathematics, statistics, natural science or informatics 
  • 3+ years of experience with analyzing big data sets, data visualization (former engineering experience as well as technical know-how shown in the last projects) 
  • Experience with software development and big data infrastructures 
  • Experience with analysing biomechanical and sensor data desirable 
  • Profound knowledge in Python, R, Matlab or similar software packages/languages 
  • Knowledge of MS Office 
  • Excellent analytical and communication skills 
  • Self-starting team player 
  • Fluent in English 
  • German speaking 
  • Working experience in the pharmaceutical industry, ideally with clinical studies