Applied Researcher - Artificial IntelligenceJob ID: 391716BR
Aug 19, 2024
Location: Ireland
SummaryThe AI & Computational Sciences (AICS) is the dedicated AI and ML team at Novartis Biomedical Research (BR) innovating across the drug discovery continuum. We aim to accelerate discoveries of transformative medicines for patients worldwide. AICS is seeking a highly motivated contributor to the domain of AI/Machine Learning to push the frontier in Life Sciences and drug discovery. At AICS, you will take on a hands-on role at the intersection of science, R&D and real-world impact.
You will be a part of a truly unique organization with an inter-disciplinary team made up of accomplished scientists who are at the forefront of AI in drug discovery. You will have the opportunity to shape the next wave of drug discovery, combining insights from a wealth of data modalities including diverse omics types like genomics, transcriptomics (including spatial and single-cell), proteomics, compound structures, compound activity, protein structures, measurements from cellular experiments and safety studies, histopathology, clinical imaging, and clinical readouts.
About the RoleMAJOR RESPONSIBILITIES: Implement, Validate, and Deliver AI and Deep Learning models to ensure project success.Quickly learn the data science environment important to each project: Compute, Data Management, Data Interpretation, etc.Evaluate and recommend technical approaches (algorithms and architectures) to solve domain data science problems.Evaluate and Communicate critical results to non-data science SMEs.ESSENTIAL REQUIREMENTS: Advanced degree (Master's+) required in a technically relevant program: e.g. Computer Science, Computational Biology/Chemistry, Physics, etc.Solid experience in Python and general AI Modelling/tooling expertise.Extensive experience in developing and training Deep Learning models and familiarity with the state of the art DL architectures.Proven track record of publishing in the domain of AI / Deep Learning or implementing state of the art architectures.Proven ability to work and collaborate with a cross functional, multi-disciplinary team.Proficiency in English (written and oral).NICE TO HAVE: Algorithms and advanced mathematics.Experience with graphs or chemistry data.Experience with multi-modal data is a bonus (e.g. EEG, text, multi-omics (scRNA, transcriptomics, etc)).COMMITMENT TO DIVERSITY & INCLUSION:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
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