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Jörg Kurt Wegner
661 followers -
I am a collaboration, innovation, chemistry, drug design, computer science, and structural biology geek.
I am a collaboration, innovation, chemistry, drug design, computer science, and structural biology geek.

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Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery.
https://doi.org/10.1016/j.chembiol.2018.01.015

In both academia and the pharmaceutical industry, large-scale assays for drug discovery are expensive and often impractical, particularly for the increasingly important physiologically relevant model systems that require primary cells, organoids, whole organisms, or expensive or rare reagents. We hypothesized that data from a single high-throughput imaging assay can be repurposed to predict the biological activity of compounds in other assays, even those targeting alternate pathways or biological processes. Indeed, quantitative information extracted from a three-channel microscopy-based screen for glucocorticoid receptor translocation was able to predict assay-specific biological activity in two ongoing drug discovery projects. In these projects, repurposing increased hit rates by 50- to 250-fold over that of the initial project assays while increasing the chemical structure diversity of the hits. Our results suggest that data from high-content screens are a rich source of information that can be used to predict and replace customized biological assays.
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Flaming dragon...
Have a great day😊
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Dear all, we have an open position, please forward and distribute. Thanks, cheers /.Joerg

Link: https://goo.gl/NzR8Nw

‘Caring for the world, one person at a time’... inspires and unites the people of Johnson & Johnson. We embrace research and science - bringing innovative ideas, products and services to advance the health and well-being of people. Employees of the Johnson & Johnson Family of Companies work with partners in health care to touch the lives of over a billion people every day, throughout the world.

Janssen Pharmaceutica joined the Johnson & Johnson group in 1961. Today, Janssen Pharmaceutica is one of the most innovative pharmaceutical companies in the world. Our research and development centre develops products for a wide range of disease areas, such as mental disorders, neurological problems, infectious diseases, immunological disorders, cancer, and cardiovascular and metabolic conditions.

Within the Discovery Sciences group, which provides advanced technology support to drug discovery projects in Janssen, the Computational Sciences department is responsible for comprehensive analyses of high-dimensional datasets. The position as Drug Discovery Data Scientist will be opened on the Beerse campus, which is the largest R&D center for small molecules within the entire Janssen group, investing over 1 billion euros each year in R&D.

Activities cover the integration of information from the broadest possible spectrum of datasources (chemical structure, microscopy images and omics, …) to comprehensively infer biological activities of millions of chemical compounds, and to apply these predictions to inform projects. In addition, the team designs and supports the execution of the generation of high-dimensional datasets (from cytometry or various sequencing approaches) from patient-derived material. The team is also responsible for the use of these data for the identification of potential mechanisms of disease and targets of intervention and the subpopulations of patients these mechanisms apply to.

In the context of the latter task, the department is opening a position for a Drug Discovery Data Scientist, who will focus on the analysis and interpretation of high-dimensional datasets to identify interventional strategies for neurological, cardiovascular and metabolic, infectious, immunological or oncological diseases. As Drug Discovery Data Scientist you will be responsible for:

the translation of questions of disease experts in the therapeutic areas and wet lab colleagues, to a quantitative analysis formulation
the design and execution of targeted analysis approaches to link processed molecular and cellular data at scale to pathophysiological processes or clinical outcome, to produce actionable conclusions and to inform decision making
the development and internalization of rigorous state-of-the-art approaches for integrative data analysis, and build-out and leveraging of collaborations with leading academic and industrial scientific teams in life, computational and data sciences
work with informatics and statistics colleagues to offer the resulting analysis and visualization solutions to the project teams
contributing to the scientific weight of the department by authoring peer-reviewed papers and presenting at relevant conferences
Qualifications

PhD in Computational Biology or any related quantitative field with direct exposure to multidisciplinary biology or clinical context with ideally a few years of post-doctoral experience in an academic or industrial setting
demonstrated experience with linking high-dimensional molecular data, to phenotypic or clinical outcomes in constellations that led to hypothesis driven experimental or clinical follow-up
advanced programming and scripting skills that enable the development of functional prototypes
excellent communication, reporting and team interaction skills, self-motivation, proactivity and the ability to work independently
What’s in it for you…?

“Caring for the world, one person at a time…”

As an employee we consider you as our most valuable asset. We take your career seriously. As part of a global team in an innovative environment your development is key and our day-to-day responsibility. Through e-university, on the job training,various projects and programs, we ensure your personal growth.

Our benefits make sure we care for you and your family now and in the future.

Primary Location

Europe/Middle East/Africa-Belgium-Antwerp-Beerse

Organization

Janssen Pharmaceutica N.V. (7555)
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Love the visual
New, short blog post with an idea I may hope for some help of from my graphs and linked data friends.
Awesome graphic as Graphs
Awesome graphic as Graphs
kerfors.blogspot.com
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Job opening Intel - large-scale drug discovery - https://goo.gl/PRAcQp
Folks, please distribute! Thanks ;)

Intel together with research partners and pharmaceutical companies is collaborating on developing a system for large-scale drug discovery based on privacy-preserving machine learning techniques. We are currently looking for a software engineer, ideally with a background in machine learning, especially privacy-preserving approaches, to work on this project. This project is situated within Intel’s Health & Life Sciences Group (HLS), part of Intel’s Data Center Group (DCG). Location: Leuven, Belgium.
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Beautiful, beautiful quote. #science #pasteur via Educational Innovations
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We like our #JNJ  crowd and are a proud part of it ;)
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No, 'drug space' scientists alone will not be able to handle exponential data growth
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