Role overview
Data Scientist
Remote Technical – Data Science / Full Time / Remote
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Topography Health is a first-of-its-kind, physician-focused clinical trials platform. We offer a full stack of tools and services to empower doctors to gather evidence within an existing practice. Our mission is to accelerate clinical research by increasing the investigative capacity of every physician, creating a new world of medicine where patients have seamless access to advanced research. We care deeply about creating data sets that are more inclusive and representative, and we’re determined to change how research is conducted at the community level. We’re backed by Andreessen Horowitz, Bain Capital Ventures, and other great financial and strategic partners.
ABOUT THE ROLE Topography Health stands as a leader in clinical research and healthcare analytics, leveraging cutting-edge technologies and methodologies to create actionable insights. We are in search of a seasoned Data Scientist with a strong background in the healthcare or fintech sectors. This role will champion the creation, refinement, and optimization of algorithms that enhance our processes. Handling unstructured data will be commonplace, and extracting insights pivotal. A critical aspect will be the deployment of machine learning models, with an emphasis on NLP and LLM, particularly tuned to EHR datasets. This position will also necessitate cross-functional collaboration, ensuring alignment with overarching data requirements and high-impact solutions. This role is instrumental in advancing our clinical trials. You will not only develop predictive models but also ensure data integrity by managing and harmonizing data from various sources. You will be involved in intensive collaboration with our clinical researchers and product team, and you will need to stay up to date on the latest in data science and clinical methodologies.
What we're looking for
Leverage and apply cutting-edge developments in NLP and LLMs to analyze clinical notes and various forms of unstructured dataHandle vast amounts of unstructured data, deriving insights that will aid in the identification of potential patients
Utilize ETL processes for large datasets using Python/PySpark and Apache Airflow on cloud platforms like AWS, GCP, or Azure Engage deeply with real-world data sources, including EHR and claims data Implement and deploy machine learning models, emphasizing deep learning and natural language processing techniques, specifically on EHR datasets
Topography is an equal opportunity employer and does not discriminate based on race, age, religion, gender, gender identity, national origin, citizenship status, sexual orientation, disability, political affiliation, or belief. We are committed to creating an inclusive culture.
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