Job
Description
Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with the data42 strategy. - Be a data subject matter expert (SME), understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements, conversion to common data models and standards, FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies using AI models for RWD analysis across the Research Development Commercial continuum. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains for priority disease areas to execute complex and critical business problems with quantified business impact. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science. - Extensive experience in Statistical and Machine Learning techniques. - Proficiency in tools and packages like Python, SQL, and exposure to dashboard or web-app building. - Knowledge in data standards e.g. OHDSI OMOP, FHIR HL7, and other data standards. - Strong collaboration skills with stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in the industry and area of work. - Optional experience in Biomedical Research and development in pharma is a bonus. Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If you need accommodation, please send an e-mail to [email protected] and let us know your request and contact information. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,
