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FLFlatiron Health

Oncology Clinical Data Specialist(m/w/x)

Berlin
Vollzeitmit HomeofficeBerufserfahren

Extracting structured/unstructured clinical data for cancer patients and researchers. Oncology/haematology clinical documentation experience required. Refining ML/LLM curation methods, creating data capture forms for various tumor types.

Anforderungen

  • Kind, passionate, collaborative problem-solver
  • Team player
  • Clinical/data documentation experience in oncology/haematology
  • Certified study nurse, physician, or clinical professional
  • Comparable professional education
  • Bachelor's or master's degree in health sciences, biology, molecular medicine, or related applied science
  • Education as a nurse with additional training or clinical work in oncology/haematology
  • Familiarity with cancer management from diagnosis to treatment cessation
  • Fluent in cancer terminology
  • Fluent in general German medical terminology
  • Experience with clinical data presentation (e.g., ICD codes, cancer registry data)
  • Experience with treatment pathways in oncology care
  • Familiarity with electronic health record systems
  • Familiarity with electronic data capture forms
  • Familiarity with other data management systems
  • Strong communication skills
  • Ability to communicate clinical issues effectively with diverse teams
  • Exceptional attention to detail
  • Pragmatic in search for solutions
  • Enjoy working in fast-paced, cross-functional, international environment
  • Ability to react with flexibility to ambiguity
  • Fluent German (C-level)
  • Very good English proficiencies (B2-level)
  • Strong interest in Large Language Models (LLMs)
  • Experience applying LLMs to data processing

Aufgaben

  • Extract complex structured and unstructured clinical data
  • Ensure high-quality data for cancer patients and researchers
  • Develop and update data curation instruction documents
  • Create data capture forms for various tumour types and malignancies
  • Refine ML and LLM enabled curation methods
  • Support data quality and control activities
  • Maintain and improve existing QA processes
  • Clarify guidance and correct errors
  • Refine standard operating procedures
  • Plan feasibility and initial testing of new data points
  • Contribute to product development with data insights
  • Support development of abstraction tools
  • Leverage machine learning and automation
  • Ensure quality assurance on dataset deliverables
  • Conduct data analyses
  • Collaborate with cross-functional teams
  • Present work processes and results to team
  • Weigh tradeoffs and communicate data-driven recommendations
  • Provide clinical expertise for data processing
  • Support harmonisation of structured data points

Berufserfahrung

  • ca. 1 - 4 Jahre

Ausbildung

  • Abgeschlossene BerufsausbildungODER
  • Bachelor-Abschluss

Sprachen

  • Deutschfließend
  • Englischverhandlungssicher

Tools & Technologien

  • ICD codes
  • cancer registry data
  • electronic health record systems
  • electronic data capture forms
  • data management systems
  • Large Language Models (LLMs)
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