DIGITAL BIOMARKER - VOICE/SPEECH DATA ANALYST

  • Altran Technologies
  • Basel, BS, Switzerland
  • 18/05/2020
Full time Data Science Data Analytics Big Data Statistics

Job Description

  • A permanent contract with the leader in innovation and high-tech engineering consulting

  • A multi-stage model with career opportunities through specialization prospects, as well as with over 50'000 consultants around the world and revenue of EUR. 3.3 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D)

    In Switzerland, Altran employs more than 300 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva

Your role

For our client, a multinational healthcare company, we are currently looking for a well experienced and highly motivated Digital Biomarker with focus on Voice/Speech Data Analyst

  • Analyze huge amount of different types of free speech test data in various diseases
  • Support the development of robust and stable solutions for voice/speech data analysis using acoustic features
  • Using analyses, establish the biological, clinical and patient relevance of sensor data collected in clinical studies
  • Drive the understanding of the data analysis results by clinical development programs through the development of compelling narratives and presentation
  • Support the development of publications to establish the results in the scientific community

Your profile

  • University degree in mathematics, statistics, engineering, natural science or informatics
  • At least 3+ years of experience with analyzing speech data
  • Profound knowledge in algorithm development
  • Experience in a scientific role in the pharmaceutical industry, ideally with clinical studies
  • Good understanding of regulatory frameworks and compliance implications (e.g. GxP, GDPR)
  • Profound knowledge with signal processing in Python, R, Matlab or similar software packages/languages
  • Track record of writing compelling publications in peer reviewed journals
  • Experience with software development and big data infrastructures
  • Fluent English knowledge incl. excellent writing skills