Oncology Clinical Data Specialist (m/f/d)

Job description

We’re looking for a Clinical Data specialist to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care? Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centres in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group. What You'll Do In this role, you will be responsible for working with the clinical and product teams to execute on and further develop our end-to-end data extraction processes. This includes extracting complex structured and unstructured clinical data from electronic medical records, ensuring high quality data that benefit cancer patients and researchers. In addition you will: Develop and update data curation instruction documents as well as data capture forms for multiple solid tumour types and hematologic malignancies, respectively, and their diagnostic and therapeutic areas Help to develop and refine ML and LLM enabled curation methods Support data quality and control activities, including maintenance and improvement of existing QA processes, clarifying guidance, correcting errors and refining standard operating procedures in order to build up and maintain high quality data sets Plan feasibility and initial testing of novel data points or new data extraction approaches Contribute to product development by synthesizing data and feedback to provide insights about the abstraction process (e.g., to support development of our abstraction tool and leverage machine learning and automatisation) Support quality assurance on dataset deliverables and data analyses Collaborate with a cross-functional team including technical (e.g., software engineering, data science), partnerships and product managers, product designers, data privacy experts, research scientists, and clinical professionals. By presenting your work processes and results, you keep your direct and extended team up to date with your work progress Weigh tradeoffs (e.g., upside/do…