Clinical Science Data Analyst - Sensor Data

Salary
Competitive
Posted
04 Dec 2018
Closes
13 Jan 2019
Ref
896013-P
Contract Type
Contract

Reference Number:         896013-W,

Type of placement:           Contract, 12+ months, high chances for extension

Location:                             Basel, Switzerland

 

Main Responsibilities:

  • Project manage Digital Biomarker Data Analysis efforts in different neurodegenerative diseases like e.g. Multiple Sclerosis, including the development of presentations, posters and journal manuscripts
  • Support the clinical interpretation of the Data Analysis results and the preparation of results for physicians
  • Support the development of data analysis roadmaps
  • Review, challenge and consolidate and present data analysis results from the Digital Biomarker Data Analysis team to the clinical development programs
  • Drive the understanding of the data analysis results by clinical development programs through the development of compelling narratives and presentations
  • Drive the publication of results and the presentation of data analysis results at conferences

Qualifications and Experience:

Must Haves

  • Very good university degree (PhD level) in medicine, statistics, engineering, natural science or informatics
  • 3+ years of clinical science experience, ideally in Multiple Sclerosis or related conditions
  • Experience in experimental/clinical study design
  • Track record of analyzing data sets and data visualization
  • Strong publication record
  • Excellent analytical and communication skills; ability to communicate data analyses in lay terms to very diverse and heterogeneous audiences
  • Understanding of theoretical underpinnings of relevant data analysis methods
  • Self-starting team player
  • Highly efficient user of MS Office, excellent PowerPoint slide writer
  •  Excellent in English; excellent writing skills
  • Relevant working/residency permit or Swiss/EU-Citizenship required

Nice to Haves

  • Conceptual understanding of deep learning and other machine learning techniques
  • Experience with sensor data streams; experience with biomechanical (e.g. movement data such as accelerometer, gyroscope), speech, ECG, and/or EEG data would be highly desirable
  • Experience in a scientific role in the pharmaceutical industry, ideally with clinical studies
  • Experience with remote patient monitoring
  • Experience with signal processing

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