Job opportunities for high content analysis at Janssen EU & US


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The Janssen Pharmaceutical companies of Johnson & Johnson currently have 8 new positions in Computational Sciences, of which 2 are for scientists working on high-content image and data analysis, based in Beerse (Belgium) and Spring House (PA, USA).

These scientists will join our high content imaging team and develop new computational methodologies to exploit high content imaging data for drug discovery, mode of action studies, and target identification. They will also work closely with the IT and machine learning teams to help evolve our software platform for high content analysis.

Our computational sciences team participates in drug discovery projects, from target identification to preclinical development. We identify innovative treatments across our therapeutic areas (oncology, neuroscience, infectious disease, immunology, and cardiovascular & metabolic disease) in close collaboration with biologists and chemists.

We are looking for scientists with a talent for the analysis of high-dimensional datasets using state-of-the-art data science methods, and a passion for finding innovative therapeutics to treat diseases with high unmet medical needs, such as Alzheimer’s Disease, cancer, or infectious diseases such as Hepatitis.

Qualifications: ● PhD in quantitative sciences (e.g. computer science, (bio)statistics, machine learning)
● Background in analysis of high dimensional, multivariate data (e.g. high content imaging, flow cytometry, single cell analysis) ● Minimum 1 year of applied experience in a pharmaceutical, biological or biomedical research environment ● Basic knowledge of cell biology and biochemistry ● Skillful communicator able to facilitate understanding between biologists and data scientists ● Oriented towards achieving drug discovery goals in a multidisciplinary team ●

For more details and to apply, go to: jobs.jnj.com,
with Requisition ID 1805706114W (EU) or 1805706117W (US)

Or if you have questions, please do contact me at egustin@its.jnj.com.