Senior Data Scientist, Clinical Informatics at Valo Health | Torre

Senior Data Scientist, Clinical Informatics

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Full-time

Legal agreement: To be defined

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Hybrid (New York, New York, United States)
Posted over 2 years ago

Responsibilities


Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Valo Health is looking for a Senior Clinical Informatics Data Scientist to join our team. In this role, you will be a core member of a team of data scientists and engineers building a powerful computational platform for advancing the discovery and development of new medicines. You will develop solutions and execute complex initiatives that leverage real-world data to address challenging computational problems alongside partner scientists in epidemiology, statistical genetics, computational biology, and machine learning. If you are ready to join a dynamic and innovative startup environment and contribute to the reinvention of drug discovery and development, we want to hear from you! Responsibilities: - Develop clinical concepts, medical code mappings, and data dictionaries for real-world data types. - Define and implement data harmonization standards and curation strategies for real-world patient data products. - Lead the development and maintenance of user-driven tools/packages to generalize data processes and automate data transformation in real-world data studies and machine learning projects. - Collaborate with pre-clinical data science and clinical teams to define data requirements, reconciling research needs with real-world data collection practices and utilization. - Contribute to writing reports and presentations to non-technical internal audiences and external clients. - Work in an agile manner to create high-quality, analysis-ready data sets and products to be used across the organization. - Articulate and break down large problems into solvable pieces, prioritizing critical-path problems. - Champion and adopt shared coding standards, participate in code review, and provide regular updates of your work and input into the work of your colleagues.