Oncology Clinical Data Specialist

About the role

You are a kind, passionate, and collaborative problem-solver who values the opportunity to think beyond the way things are in the realm of cancer data. You will own the end-to-end ownership of complex clinical data extraction and curation for multiple solid tumour types and hematologic malignancies, ensuring that high quality data directly benefits cancer patients and researchers. In this position, you act as the clinical bridge between raw electronic medical records and structured datasets that drive real-world evidence. You will develop and refine machine learning and LLM-enabled curation methods while actively contributing to product development through data synthesis and feedback. Your work will involve weighing tradeoffs and clearly communicating data-driven recommendations to influence cross-functional stakeholders. You will collaborate daily with a multidisciplinary team including software engineers, data scientists, oncologists, and privacy experts to keep the extended team updated on work progress.

Key facts

What you'll do

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 to improve extraction accuracy and efficiency.

Support data quality and control activities, including maintenance and improvement of existing QA processes, clarifying guidance, correcting errors, and refining standard operating procedures to build and maintain high quality data sets.

Plan feasibility and initial testing of novel data points or new data extraction approaches to address evolving clinical questions.

Contribute to product development by synthesizing data and feedback to provide insights about the abstraction process, supporting development of the abstraction tool and leveraging machine learning and automation.

Support quality assurance on dataset deliverables and data analyses to ensure consistency, accuracy, and compliance with project standards.

Collaborate with a cross-functional team including technical experts such as software engineering and data science, partnerships and product managers, product designers, data privacy experts, research scientists, and clinical professionals.

Present your work processes and results to keep your direct and extended team up to date with work progress and emerging insights.

Weigh tradeoffs, for example upside and downside for different options, and clearly communicate data-driven recommendations to influence cross-functional stakeholders and decision-making.

Provide clinical expertise to support the processing and harmonisation of structured data points, ensuring clinical accuracy and relevance.

Experience with electronic health record systems, electronic data capture forms, or other data management systems to navigate complex data landscapes.

Demonstrate strong ownership of data lifecycle from extraction through to delivery, maintaining meticulous attention to detail throughout.

Apply pragmatic problem-solving skills to balance ideal clinical standards with feasible implementation constraints in fast-paced environments.

Engage proactively with international stakeholders, reflecting the global scope of Flatiron's oncology ecosystem and mission.

Requirements

You are certified as a study nurse, physician, or other form clinical professional, or you have a comparable professional education, or you have a bachelor's or master's degree in the fields of health sciences, biology, molecular medicine, or a related applied science, or you have education as a nurse with additional training or several years of clinical work in oncology/haematology.

You are familiar with all aspects of how cancer is managed, from diagnosis until cessation of treatment, and fluent in cancer terminology as well as in general German medical terminology.

You have experience with the presentation of clinical data (e.g. ICD codes, cancer registry data) and the treatment pathways in oncology care.

You have familiarity with electronic health record systems, electronic data capture forms, or other data management systems.

You have strong communication skills, including the ability to communicate clinical issues effectively with a diverse team of software engineers, product managers, and other technical staff.

You demonstrate exceptional attention to detail but you are also pragmatic in the search for solutions.

You enjoy working in a fast-paced, cross functional and international environment and are able to react with flexibility to ambiguity.

You are fluent in German (C-level, mandatory requirement) and have very good English proficiencies (minimum requirement B2-level).