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Scientist - Computational Biology

Scientist - Computational Biology

Locations: Beerse, Belgium
Functions: Informatics
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Job Description

Requisition ID: 1805706109W

Computational Biologist Single Cell Analysis

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.

Single cell profiling has been identified as one of the core areas for research at the Janssen Beerse campus, both from a wet lab (experimental setup) as a dry lab (analytics) perspective. The Computational Sciences group has invested heavily in developing both wet-lab and dry-lab facilities for single cell profiling. Various technologies that capture single-cell information are operational within the team: high-content imaging, mass cytometry, and last but not least single cell transcriptomics (10xgenomics and other approaches). The major driver behind this investment is the increasing need for characterization of (immune) cell populations in the various therapeutic areas (neuro-inflammation, (auto-)immune diseases, immuno-oncology, infectious diseases).

We are looking for an enthusiastic candidate to join the European Computational Sciences team, with the primary aim of providing single cell analytics support to drug discovery projects. The successful candidate will have a broad bioinformatics experience with a good working knowledge of genetics / pathway biology and deep scientific expertise in a number of disciplines including high-dimensional omics technologies and data analysis, methodologies for drug discovery and reverse translation. Furthermore, as the immune system plays a pivotal role in the progression of many diseases, working knowledge of immunology is a plus. While the position will be based in Beerse (Belgium), it will support global teams in the different therapeutic areas. As this line of work is inherently interdisciplinary, we are searching for a candidate that will drive internal (R&D IT, statistics and computational biology teams within the therapeutic areas) and external
collaborations (academic and industry).
The successful candidate will:

* work closely with therapeutic area teams to understand where bioinformatics approaches can best impact their scientific and technical challenges.
* play a key role in the interactions with other omics experts in functional and therapeutic areas (statistics, oncology, immunology, infectious diseases, neuroscience).
* work collaboratively with wet lab, IT and statistical specialists to deliver processes, tools and techniques to solve scientific problems.
* collaborate with industry and academia, and exploit external resources, to find the most effective solutions to complex biological problems.
* develop and apply single cell and multi-omics analysis methods to target identification, validation and biomarker discovery projects.
* build and steer development of small prototype tools for bench scientists to access and visualize project data.
* be responsible for written and verbal communication of study results to project teams, including proposals for further experiments to validate key findings.


* PhD in bioinformatics, biostatistics, computational biology or similar. Alternately, a PhD in molecular biology, immunology, etc. combined with a very strong record of high-throughput data analysis, supported by publications in this area.
* Post-doctoral experience as well as exposure to wet lab activities in an academic or industrial setting is a plus.
* Ability to analyze and interpret complex omics datasets (e.g. microarrays, next-generation sequencing, flow cytometry, mass spectrometry proteomics, etc.). Pre-existing single cell analysis experience is a strong advantage but not a hard requirement.
* Proficiency in appropriate programming languages and software (R,Python)
* Strong written and oral presentation capabilities, with a convincing record of peer-reviewed publications and presentations at scientific conferences.
* Ability to clearly articulate scientific and operational concepts of biomarker research across functions, levels, and disciplines.
* High intrinsic motivation in combination with strong scientific curiosity and a high level of autonomy.
* Strong interpersonal skills and ability to work productively in a highly dynamic environment.
* Strong team orientation, highly collaborative and results-oriented.
* Good planning, prioritization, problem solving, and organizational skills.
* Knowledge and understanding of the regulatory, legal and operational requirements of sample collection and data handling for omics analyses in clinical studies is a plus.

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

Scientist - Computational Biology

Contract Type: 
Permanent contract
Engineer, R&D Engineer
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