Data Scientist

Summary Do you love data technology and science Are you passionate about transformative AI Are you seeking meaningful impact at the intersection of healthcare data and innovation Join the data42 team at Novartis as a Data Scientist RWD In this role you ll work on advanced data science initiatives leveraging our global data42 platform a secure environment housing high-quality multimodal preclinical clinical and external real-world data RWD including genetic omics and imaging data You ll drive discovery and development of life-changing medicines by driving the integration of AI ML approaches across biomedical research and drug development If you are enthusiastic about unlocking health insights from diverse Real-world data this is your opportunity As a scientific expert you will - Champion advanced analytics and AI ML applications to mine RWD including genetic and imaging modalities for novel clinical and translational insights - Work with researchers to answer complex scientific questions like biomarker discovery digital phenotype identification and accelerating scientific insights including moonshot goals such as indication finding exploration and expansion - Work on methodology advancement and strategic projects across disease areas across the Research Development and Commercial continuum integrating multimodal data for maximum impact Major accountabilities execute AI ML projects focused on mining RWD including but not limited to genomic and imaging modalities for exploratory and hypothesis-driven analysis Co-create analytic solutions with stakeholders in R D Biomedical Research and external partners Drive capability development for integrating new RWD with genetic modalities e g GWAS polygenic risk scores and imaging analytics e g radiomics deep learning on medical images within real-world evidence projects Work in multidisciplinary teams to generate scientific impact and foster a collaborative entrepreneurial environment Support feasibility design and conduct of scientific evidence generation studies using RWD including external control arm development and innovative in-silico trials Advocate and communicate data-driven strategies influencing internal and external stakeholders to advance patient outcomes and Novartis R D vision Working knowledge of generative AI and how it may be leveraged to create applications solutions in support of evidence generation Represent Novartis data42 in internal and external forums to share innovations and insights Participation in Hackathons Minimum Requirements Qualifications PhD MD or equivalent advanced degree in a quantitative field computer science genetics statistics biomedical engineering epidemiology etc 5 years in quantitative data science roles within life sciences including deep experience in AI ML applied to RWD including but not limited to genomics omics and medical imaging Strong programming skills in Python R optional SQL Spark and analytics platforms HPC Databricks etc Deep understanding of evidence generation methodologies advanced analytics and pharmaceutical product development lifecycle Proven expertise in integrating and analysing multi-modal RWD for medical evidence generation including data fusion Skills Desired Data Science Advanced Machine Learning Artificial Intelligence Real world data Claims EHR EMR Registries Surveys etc including it s technical modalities -omics GWAS Imaging Modality Radiology Pathology Digital Imaging Experience in Statistical Analysis Evidence Generation in early and late phase drug discovery development Commercial is a bonus Data engineering skills required to enable genAI solutions in support of evidence generation good to have Languages English Skills Desired Clinical Data Management Data Architecture Data Governance Data Integration Data Management Data Profiling Data Quality Data Science Data Strategy Master Data Waterfall Model