Digital Biomarker with focus on Voice/Speech Data Analyst
Basel, CH
vor 5 Tg.

Our offer

  • A permanent contract with the leader in innovation and high-tech engineering consulting
  • A multi-stage model with career opportunities through specialization prospects with over 250'000 consultants around the world and a Group revenue (Altran / Capgemini) of EUR.
  • 17 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D)

  • In Switzerland, Altran employs more than 400 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 amounts of different types of free speech test data in various diseases
  • Help us with your expertise to identify and implement robust solutions for automatic speech recognition, speaker identification and speaker diarization
  • Apply your expertise to build robust and stable algorithms for speech data analysis using acoustic, phonetic, prosodic and lexical features
  • Using these 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 presentations
  • 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
  • 3+ years of experience with analyzing speech data
  • Solid experience with signal processing and statistical analysis in Python, R, Matlab or similar languages
  • Experience with software development and big data infrastructures
  • Knowledge of machine learning techniques for classification, regression, and feature selection
  • Very good analytical and communication skills
  • Self-starting team player with strong and collaborative can-do attitude
  • Fully proficient in English with excellent writing skills
  • Utmost scientific integrity, not afraid to admit uncertainty and mistakes
  • Nice to haves :

  • Experience in a scientific role in the pharmaceutical industry, ideally with clinical studies
  • Previous hands-on clinical experience in Parkinson’s Disease, Autism Spectrum Disorder, Schizophrenia is also interesting
  • Solid experience with deep learning and other machine learning techniques
  • Track record of writing compelling publications in peer reviewed journals
  • Good understanding of regulatory frameworks and compliance implications (e.g., GxP, GDPR)
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