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Oncology Clinical Data Specialist(m/w/x)
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- ICD codes
- cancer registry data
- electronic health record systems
- electronic data capture forms
- data management systems
- Large Language Models (LLMs)
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Oncology Clinical Data Specialist(m/w/x)
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- ICD codes
- cancer registry data
- electronic health record systems
- electronic data capture forms
- data management systems
- Large Language Models (LLMs)
About the Company
Flatiron Health
Industry
Healthcare
Description
Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world.
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