.Johnson & Johnson Innovative Medicine is recruiting for a Senior Data Scientist in Business Technology located in Titusville, NJ, or Horsham, PA. At J&J Innovative Medicine, what matters most is helping people live full and healthy lives.We focus on treating, curing, and preventing some of the most devastating and complex diseases of our time. Our company provides medicines for an array of health concerns in several therapeutic areas.Our ultimate goal is to help people live healthy lives. The Commercial Data Sciences team is looking for an extraordinary scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients and for Johnson & Johnson.In this role, you will stay on the cutting edge of artificial intelligence, data science, and advanced analytics research through novel project execution and development of algorithms that influence decisions at various levels in the organization, with primary focus on omnichannel sales and marketing optimization, but also including distribution demands, patient/payer analytics, commercial strategy, and related commercially focused model development.The role requires both a broad knowledge of existing AI-type algorithms and the creativity to invent and customize when necessary. You will lead and deliver projects and develop solutions that in turn deliver insights. You will also work closely with matrixed teams across business and technology to understand how best to solve complex problems.QualificationsRequired Qualifications:Ph.D. with 2 years of experience, or M.S. with 5+ years, B.S. with 7+ years of relevant pharma sales & marketing experience, with degree in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related field.Strong working knowledge of machine learning platforms/environments.Experience with practical applications of AI-type algorithms, including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models.Familiarity with large datasets, handling of healthcare relevant datasets, and understanding of data analysis workflows.Proficiency with one or more programming languages such as Python or R.Proficiency with SQL.Experience delivering on data science projects using predictive technologies, data mining and/or text mining.Familiarity with working in a cloud-based technology stack.Familiarity with usage of Generative AI for productivity improvement.Strong communication skills and ability to translate complex methods and results to diverse audiences.Strong ability to establish relationships with business partners and understand their needs
