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Postdoctoral Researcher – AI in Digital Health

  • Título Postdoctoral Researcher – AI in Digital Health
  • Función Career Programs
  • Sub función Post Doc & Data Analytics & Computational Sciences
  • Categoría Post Doc - Data Analytics & Computational Sciences(ST5)
  • Ubicación Beerse, Antwerp, Belgium; Netherlands; Boston, United States; England, United Kingdom; France; Spain; Germany; Italy; Switzerland
  • Publicado
  • Identificación requerida (Req ID) 2406224372W
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Descripción

Job Title: Postdoctoral Researcher – AI in Digital Health

Location: The position can be based in Belgium, Netherlands, France, Germany, Spain, UK, Switzerland, Italy and Boston, USA. Remote work options may be considered on a case-by-case basis and if approved by the company.


Description

The Data Science Analytics & Insights team is actively searching for a highly motivated

and visionary postdoctoral researcher, with a primary research focus on innovative

Artificial Intelligence/Machine Learning (AI/ML) algorithms to extract valuable insights

from structured and unstructured multimodal data sources. We are particularly

interested in candidates with expertise in natural language processing (NLP) and a

deep passion for making a meaningful impact through their work. Your contributions will

involve developing and validating AI/ML solutions to solve complex problems across

various therapeutic areas within the organization.


Key Responsibilities:

  • Conceive, develop, and validate AI/ML solutions for high-priority scientific

research projects.

  • Analyse and interpret multimodal data – including speech, text, and actigraphy

data – from various sources.

  • Participate in cross-functional collaborations with internal stakeholders and

external partners.

  • Clearly communicate the state-of-the-art methods and results to diverse audiences

and partners to support decision-making.

  • Publish findings in top-tier journals and conferences.

Calificaciones

Required qualifications:

  • A Ph.D. degree in AI/ML or a related field (e.g., computational linguistics,

computational biology, computational neuroscience, computer science, data

science, applied mathematics, statistics, electrical engineering, signal

processing) obtained within the last 2 years or to be completed within the next 3

months.

  • Proven track record of applying advanced AI/ML techniques, supported by

publications in peer-reviewed journals and conferences.

  • Experience with standard analytical techniques (e.g., logistic regression, support

vector machines, random forest, boosting, ensemble methods) and advanced AI

methodologies (e.g., convolutional neural networks, recurrent neural networks,

attention models, transformers).

  • Experience with basic and advanced NLP techniques (e.g., word2vec, wav2vec,

Whisper, BERT, GPT).

  • Knowledge of statistical methods.
  • Proficiency in one or more programming languages (e.g., Python).
  • Experience with software development tools (e.g., Git).
  • Analytical mindset and critical thinking.
  • Ability to continuously learn and acquire new knowledge and skills.
  • Ability to optimally communicate technical work to a wide and diverse audience,

both in oral and written forms.

  • Ability to work both independently and in a diverse, multidisciplinary team.
  • Passionate about leveraging data to drive scientific innovation.

Preferred (“nice-to-have”) qualifications:

  • Experience in analysing speech and actigraphy data.
  • Experience in analysing biomedical data.
  • Background in biology or a related field (e.g., neuroscience).
  • Expertise in one or more disease areas (e.g., mental health).
  • Familiarity with the processes of drug discovery, safety and development.

SALARY FOR THE USA: $95,000 base per annum

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against based on disability.



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