Location: Beerse, Belgium

External link: https://jobs.jnj.com/jobs/1805706114W?lang=en-us

Type: Industry

Job Description

Requisition ID: 1805706114W

Janssen Research & Development seeks to drive innovation and deliver transformational medicines for the treatment of diseases in six therapeutic areas: neuroscience, cardiovascular diseases and metabolism, infectious diseases, immunology, oncology and pulmonary hypertension. In these areas, Janssen aims to address and solve unmet medical needs through the development of small and large molecules, as well as vaccines. The Janssen campus in Beerse (Belgium) has a unique ecosystem covering the complete drug development life cycle, with all capabilities from basic science to market access on one campus. The integrated environment of our campus gives our people the chance to experience many different aspects of drug development throughout their career. It has a successful track record of over sixty years of drug discovery and development and is one of the most important innovation engines of the Janssen group worldwide.
Developing innovative therapeutics to treat diseases like Alzheimer’s disease, various types of cancers and infectious diseases like Hepatitis B, influenza is our passion. In this endeavor, we are seeking to recruit new talent for the comprehensive analyses of high-dimensional datasets using state-of-the-art data science methods applied to drug discovery programs. The position will be opened on the Beerse campus, which is the flagship R&D center for small molecules within Janssen, investing over 1 billion euros each year in R&D.
For this organization we are looking for 2 High Content Imaging (HCI) data analysis Scientists in Beerse (Belgium) or Springhouse (US).
Primary responsibilities
  • Collaborate closely with biologists and chemists across different therapeutic areas to support drug discovery projects from target identification to preclinical development
  • Keep up to date with scientific literature on data analysis for high content imaging and other information rich technologies
  • Develop new methodologies and tools to exploit high content imaging data to enhance drug discovery mode of action studies and target identification
  • Collaborate with the IT department to setup a software platform for high content analysis


Skills and experience
Required experience
  • PhD in a quantitative science (computer science, (bio) statistics, machine learning)
  • Analysis of high dimensional / multivariate (omics) data such as high content imaging data, flow cytometry, single cell data
  • Minimum of 1 year applied experience in pharma / biomedical sciences
  • Basic knowledge in cell biology and biochemistry
  • Analysis of high content imaging data
  • Experience with more complex models (3D / organoids, mixed cell cultures / primary cell cultures)
  • Background in cell biology / medicinal chemistry / drug discovery / (bio)statistics
  • Experience working in a screening and/or profiling environment such as high throughput screening or genomic screening
  • Publication record and/or contribution to software tools for biological data analysis
  • Experience in (lab) experimental design and assay development
  • Experience in any of these techniques
    • Thorough knowledge of a relevant programming language such as R, Python, matlab, KNIME
    • Experience with technologies used for the analysis of large datasets in a HPC environment, such as cloud or cluster computing
    • machine learning, including techniques such as deep learning (for example using Tensorflow)
    • tools for image analysis such as CellProfiler, Columbus, Acapella, ImageJ, Fiji
    • Experience with Linux, git, Jupyter notebooks
Characteristics / skills
  • Good communication to facilitate understanding between biologists and data analysts
  • Goal oriented to ensure that the biologist’s question gets answered

Primary Location
Janssen Pharmaceutica N.V. (7555)
Job Function
Requisition ID