Data Scientist - Drug Design & Augmented Intelligence

Johnson & Johnson (Beerse VAN, België) 18 dagen geleden gepost
Data Scientist - Drug Design & Augmented Intelligence Key words: medicinal chemistry, biology, biosignatures, data sciences, drug discovery, augmented intelligence, imaging Introduction Within the Discovery Technology and Molecular Pharmacology (DTMP) within Discovery Sciences (DS) group, we provide sophisticated technology support to drug discovery projects in Janssen, the High Dimensional Biology Drug Discovery Sciences (HDBDDS) department is responsible for comprehensive analyses of high-dimensional datasets and MultiTask and DeepLearning machine learning applied to small molecule 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. Activities cover the integration of information from the broadest possible spectrum of data sources (chemical structure, microscopy images and omics, …) to accurately infer biological activities of millions of chemical compounds, and to apply these predictions to advise projects. Janssen is looking for a candidate with a track record in DeepLearning and chemical synthesis lab experience to reflect and discuss a medicinal chemistry test and design cycle in discussion with medicinal chemists colleagues. The aim is to support this by an augmenting disease area insights and data analytics. The usage of biosignatures, chemistry data, as other data insights will be used for suggesting novel compounds to make. Our mission is to make diversity & inclusion our way of doing business. We will advance our culture of belonging where open hearts and minds combine to unleash the potential of the brilliant mix of people, in every corner of Johnson & Johnson. Responsibilities In the context of the latter task, the department is opening a position for a full time data science and machine learning position for biosignature molecule design. The goal will be to focus on the creation and application of deep learning approaches to advise medical chemistry projects, also by using high-dimensional imaging data (biosignatures)! The full time position will do world-class research on biosignatures and molecule designs. This will enable hit expansions and phenocopy strategies (replace antibody biosignature response by a small molecule biosignature response). This will also include the incorporation of high-dimensional datasets to identify interventional strategies for neurological, cardiovascular and metabolic, infectious, immunological or oncological diseases. The candidate will be responsible for Capturing success criteria from chemical and biological project partners within therapeutic areas to impact a portfolio project 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 deep learning biosignature and generative approaches to produce meaningful conclusions and to advise decision making Combining internal and external/vendor biosignature concepts in context of an R&D design-make-test cycle improvement. Collaborate with colleagues from biosignature, screening, biology, therapeutic areas, and strategic functions to improve business impact and scientific excellence! Work closely together with medicinal chemistry colleagues on disease area projects that result in impact within the project teams, as well as an improvement of the various deep learning modules Work with informatics and statistics colleagues to offer the resulting analysis and visualization solutions to partners Contributing to the scientific weight of the department by authoring peer-reviewed papers and presenting at relevant conferences Qualifications Qualifications and skills PhD in machine learning with Master level training in organic chemistry, of PhD in organic chemistry with master level training in machine learning or interdisciplinary training in related quantitative fields (for example a few years of post-doctoral experience in an academic or industrial setting); or equivalent -omics (like disease signatures via transcriptomics or imaging) expertise Confirmed experience with organic chemistry or medicinal chemistry, to drug design hit generation, lead optimization, or ADME/Tox optimization of small molecules, with a hypothesis driven experimental or clinical follow-up Proven experience with disease- or tox-signatures and how to isolate relevant response signatures for challenge objectives at hand. Sophisticated programming and scripting skills that enable the development of functional prototypes Experience with Python Experience with Docker/Kubernetes deployments Experience with frameworks, like PyTorch, Keras, Tensorflow Experience with -omics data analytics Excellent communication, reporting and teamwork skills, self-motivation, proactivity and the ability to work independently Track-record of peer-reviewed or computer science proceeding publications in related data analytics and/or application domains. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Primary Location Belgium-Antwerp-Beerse- Organization Janssen Pharmaceutica N.V. (7555) Job Function R&D Requisition ID 2105943779W

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Data Scientist - Drug Design & Augmented Intelligence

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