Data Scientist - Real World Data

4 - 8 years

0 Lacs

Posted:14 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a passionate individual excited by the potential of Real-World Data (RWD) and AI, you have the opportunity to join the data42 team at Novartis and contribute to the discovery of groundbreaking medical insights. At Novartis, the data42 platform provides access to high-quality preclinical and clinical data, along with RWD, enabling the development of advanced AI/ML models and health insights by a global team of data scientists and engineers. **Role Overview:** As an RWD SME / RWE Execution Data Scientist at Novartis, your focus will be on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will play a crucial role in understanding patient populations, biomarkers, and drug targets, thereby accelerating the development of life-changing medicines. **Key Responsibilities:** - Collaborate with R&D stakeholders to implement scalable data and technology solutions aligned with the data42 strategy. - Serve as a data Subject Matter Expert (SME) in Real World Data (RWD) and its diverse modalities, vocabularies, and non-traditional forms. - Contribute to data strategy implementation including data quality frameworks, regulatory requirements, and integration with enterprise catalog. - Define and execute advanced analytical approaches and research methodologies to support the use of AI models for RWD analysis. - Stay updated with emerging trends and drive the development of advanced analytic capabilities for data42. - Work collaboratively across various business domains and therapeutic areas to solve complex business problems. **Qualifications Required:** - PhD or MSc. in a quantitative discipline with expertise in artificial Intelligence / Machine Learning. - 8+ years of experience in Data Science or 4+ years post-qualification in case of PhD. - Proficiency in Statistical and Machine Learning techniques, tools like Python, R (optional), SQL, and exposure to dashboard building using PowerBI, R-Shiny, Flask. - Knowledge of data standards such as OHDSI OMOP, FHIR HL7, and experience with big data programming and cloud platforms like AWS, DataBricks, or SnowFlake. - Strong communication and collaboration skills to work effectively in matrix collaboration environments. At Novartis, the commitment is to foster an inclusive work environment and build diverse teams reflective of the patients and communities served. If you are ready to contribute to creating a brighter future by collaborating, supporting, and inspiring breakthroughs that change patients" lives, consider joining the Novartis Network and exploring suitable career opportunities within the organization. Please refer to the company handbook for details on the benefits and rewards offered to help you thrive both personally and professionally.,

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