Senior Data Analyst (DevOps Engineer)

Novartis Biomedical Research is seeking an experienced and highly motivated data and MLOps scientist/engineer/wizard to help us push the frontiers of data science and machine learning for Life Sciences and drug discovery. Within the Research Informatics division on Biomedical Research, you will take on a hands-on data scientist 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/ML 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 various omics datasets (genomics, transcriptomics, proteomics), spatial omics technologies, compound structures, protein sequences and structures, compound activity, protein structures, measurements from cellular experiments and safety studies, histopathology, clinical imaging, and clinical readouts. This is a senior individual contributor role and will require demonstrated and current hands-on experience in Python, R, cli/shell scripting, diverse ML workflows, who can perform under minimum supervision in a highly collaborative environment. Algorithms, Computer Programming, Computer Science, Computer Vision, Data Science, People Management, R&D (Research And Development), Solution Design, Waterfall Model