Post Doc - Cardiac Safety Nams

Johnson & Johnson Johnson & Johnson · Pharma · Beerse, Antwerp, Belgium

Postdoctoral role focused on developing an integrated, regulatory-aligned cardiac safety assessment pipeline by combining scalable models with advanced AI/ML-enabled approaches. The role involves designing and executing experiments using new approach methodologies (NAMs) and generating data to support cardiac safety strategies, with a focus on scientific insight, interpretation, and communication.

What you'd actually do

  1. contribute to the development of an integrated, regulatory-aligned cardiac safety assessment pipeline by combining scalable, population-relevant models with advanced AI/ML-enabled approaches.
  2. designing and executing experiments across a range of complex new approach methodologies (NAMs) and generating high-quality data to support the advancement of cardiac safety strategies.
  3. provide scientific insight, critically interpret findings, and translate results into clear, compelling communications, including peer-reviewed publications and presentations at Johnson & Johnson events, scientific congresses, and symposia.

Skills

Required

  • PhD in Biomedical Sciences or a related discipline
  • background in cardiovascular science
  • functional assays, such as multielectrode array and fluorescence-based assays
  • advanced cell culture techniques, particularly in cardiac models including hiPSC-derived cardiomyocytes in 2D and 3D systems
  • analytical skills, with the ability to interpret and integrate complex datasets using tools such as Excel, GraphPad, Spotfire, or comparable platforms
  • presentation and communication skills
  • ability to collaborate effectively across cross-functional teams
  • ability to work independently, prioritize effectively, and manage multiple responsibilities simultaneously
  • scientific interest in the development and application of New Approach Methodologies (NAMs), including 3D multicellular models and in silico modeling
  • Excellent verbal and written communication skills in English

Nice to have

  • Hands-on experience with innovative in vitro models, such as 3D cultures and/or organ-on-a-chip platforms
  • Familiarity with coding and/or data scripting for scientific data analysis, visualization, or workflow automation
  • Exposure to omics-based approaches, including the generation, analysis, or interpretation of high-dimensional biological datasets
  • Experience with imaging-based techniques and image analysis to support characterization of cellular or tissue models
  • Interest in the application of artificial intelligence and machine learning to biological data analysis, model development, and translational safety assessment

What the JD emphasized

  • regulatory-aligned
  • advanced AI/ML-enabled approaches
  • new approach methodologies (NAMs)

Other signals

  • AI/ML-enabled approaches
  • scalable, population-relevant models
  • advanced AI/ML