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Digital Biomarker with focus on Voice/Speech Data Analyst

Altran AG

 
Zürich, Switzerland
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Altran ranks as the undisputed global leader in Engineering and R&D services (ER&D). The company offers clients an unmatched value proposition to address their transformation and innovation needs. Altran works alongside its clients, from initial concept through industrialization, to invent the products and services of tomorrow. For over 35 years, the company has provided expertise in Automotive, Aeronautics, Space, Defense & Naval, Rail, Infrastructure & Transportation, Energy, Industrial & Consumer, Life Sciences, Communications, Semiconductor & Electronics, Software & Internet and Finance & Public Sector.

Now part of Capgemini, Altran Group is the global digital transformation leader for industrial and tech companies with 250’000 consultants worldwide.

Follow your passion in a role where you will be exposed to the technologies and processes that leading global companies utilize, and join our innovative team as,

Digital Biomarker with focus on Voice/Speech Data Analyst

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.

Responsibilities:

  • 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

Requirements:

  • 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)

If your profile matches the requirements of the position, we will contact you within the next fifteen (15) days of submitting your application. Otherwise, please kindly consider that your application is unsuccessful.

Please note, that we only accept applicants with Swiss or EU/EFTA citizenship or applicants with an existing and valid residence and work permit for Switzerland.

Altran is an EEO and Affirmative Action Employer of Females/Minorities/Individuals with Disabilities.

Adresse

Altran AG
Ms Yudishni Mahadeo

Site web http://www.altran.ch

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