Organisation Name: Johnson & Johnsons Family of Companies
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Job Description Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting a Senior Scientist, Computational Biology, in Janssen BioTherapeutics (JBio) located in Spring House, PA but will consider Raritan or Titusville, NJ. At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to create a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. We bring together the best minds and pursue the most promising science. We are Janssen. We collaborate with the world for the health of everyone in it. Learn more at www.janssen.com and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies. Key Responsibilities: Janssen Research & Development (JRD) is searching for a Senior Scientist, Computational Biology to support our drug discovery and development efforts through the design, validation and implementation of machine learning and artificial intelligence models to support early research and development within JBio. This position will be responsible for the design and optimization of machine learning models by integrating heterogeneous data sources including protein sequence and structure, morphological imaging, biophysical properties, toxicology, and various genomic and proteomic datasets. The primary goal is to improve and further develop our predictive analysis pipelines to increase the safety and efficacy of therapeutics and decrease the time needed to progress hit compound to lead compound to compound in clinical trials. Primary responsibilities will include the development, testing and optimization of predictive models using both internal and external datasets in collaboration with structural biologists, computational biologists, molecular biologists, and data scientists. We are looking for candidates with a strong track record in machine learning and artificial intelligence as applied to chemical or biological datasets. Support drug design and development using groundbreaking techniques in machine learning and artificial intelligence. Building machine learning models that effectively learn from heterogenous multi-modal data, e.g. modeling biological effects of compounds on the basis of chemical structure and gene expression, high content image descriptors or other omics data Application and extension of existing models and software solutions for protein based drug design and optimization. Integration of the pipelines into internal expert system together with end-users (chemists, biologists, data scientists) and IT support: to promote transparency, traceability and visual component of the developed technique. Contribute and participate in internal and external presentations, peer-reviewed manuscripts and conference proceedings. Qualifications Education: PhD, with 2+ years of experience in Computer Science, Data Science, Computational chemistry, Bioinformatics or a related quantitative field, preferably with experience of interaction with research chemists or biologists in an academic or industrial setting or equivalent experience required. Experience and Skills: Required: Strong working knowledge of machine learning algorithms such as Random Forest, SVM, neural networks, etc. and/or Natural Language Processing techniques. Experience with machine learning and deep learning implementations using PyTorch, Keras, Tensorflow etc. required. Familiarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL. Experience with enterprise wide model deployment. Advanced working knowledge of molecular modeling, homology modeling, binding site prediction, molecular docking and target prediction techniques. Creativity and non-linear thinking to enable innovative solutions to complex problems. Ability to introduce validate and improve upon existing internal and external solutions / models. Excellent communication, reporting and team interaction skills, self-motivation, proactivity and the ability to work independently. Ability to develop and deliver a presentation on technical data with strong business impact. Desire for continuous learning and the ability to identify, evaluate and implement emerging algorithms and models. Deployment of developed models across the enterprise in a cloud computing environment (AWS, Azure, Google). Preferred Experience in dashboard development using Rshiny, Tableau or SpotFire. Other: Travel up to 10% may be required. 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.
