Postdoctoral Researcher - AI in Digital Health

Johnson & Johnson Johnson & Johnson · Pharma · NEUSS, Germany

Postdoctoral researcher focused on developing and validating AI/ML solutions for digital health, with expertise in speech analysis and NLP, to extract insights from multimodal data.

What you'd actually do

  1. Conceive, develop and validate AI/ML solutions for high-priority scientific research initiatives.
  2. Analyse and interpret complex multimodal datasets, including speech, text, and actigraphy data, originating from diverse sources.
  3. Collaborate closely with cross‑functional internal teams and external partners to address research objectives.
  4. Clearly communicate the state-of-the-art methods and results to diverse audiences and partners to support informed decision-making.
  5. Disseminate research findings through publications in leading peer‑reviewed journals and top‑tier conferences.

Skills

Required

  • PhD in AI/ML or a closely related field
  • Proven track record of applying advanced AI/ML techniques
  • Experience with classical analytical methods
  • Experience with modern AI approaches
  • Hands-on experience with foundational and advanced NLP and speech technologies
  • Solid understanding of statistical methods
  • Proficiency in Python
  • Experience with Git
  • Strong analytical mindset and critical thinking skills
  • Demonstrated ability to rapidly learn new concepts, methods and technologies
  • Excellent communication skills
  • Ability to work independently while also contributing effectively within a multidisciplinary team
  • Strong motivation and passion for leveraging data and AI/ML to drive scientific innovation

Nice to have

  • Experience analysing speech and actigraphy data in research or applied settings
  • Experience working with biomedical or clinical datasets
  • Experience working with digital health technologies
  • Experience in precision medicine
  • Background in biology or a related discipline
  • Domain expertise in one or more disease areas
  • Familiarity with drug discovery, safety assessment and clinical development processes

What the JD emphasized

  • publications in peer-reviewed journals and/or top-tier conferences
  • foundational and advanced NLP and speech technologies
  • speech and actigraphy data

Other signals

  • develop innovative AI/ML algorithms
  • extract meaningful insights from structured and unstructured multimodal data
  • expertise in speech analysis and natural language processing
  • translating advanced analytics into real‑world impact
  • develop and validate advanced AI/ML solutions