Flatiron Health

Role Description Wir suchen eine:n medizinische:n Tumordokumentar:in, der:die uns dabei hilft, unsere Mission zu erfüllen, Leben zu verbessern und zu verlängern, indem wir von den Erfahrungen eines jeden Menschen mit Krebs lernen. Bist Du bereit, den Wandel in der Behandlung von Krebserkrankungen mitzugestalten? Die Tätigkeit wird zunächst auf ein Jahr befristet und kann flexibel von zu Hause aus oder gegebenenfalls nach Absprache in unserem Büro in Berlin erbracht werden. Arbeitest du lieber früh morgens, nachmittags oder abends? Für uns ist alles möglich. Wir möchten Dich dabei unterstützen, die für Dich besten Arbeitszeiten zu wählen. - Du erstellst eigenständig und fristgerecht Krebsregistermeldungen nach ADT/ GEKID-Basisdatensatz an die jeweils zuständigen Landeskrebsregister unter Anwendung von onkologischen Klassifikationen und Dokumentationsstandards. - Du dokumentierst unstrukturierte onkologische Patientendaten aus klinischen Krankenhaus- und Arztpraxissystemen in unser eigens dafür entwickeltes Softwaresystem, einschließlich der komplexen Erfassung, Speicherung und Überprüfung von klinischen Diagnose-, Behandlungs- und Nachsorgedaten. - Du bringst Dein onkologisches Fachwissen ein und erweiterst dies kontinuierlich, um eine detailgetreue und vollständige Dokumentation in einer Vielzahl von klinischen Projekten zu ermöglichen. - Du gibst direktes Feedback zu neuen Funktionen, Tools und Workflows und trägst damit zur inhaltlichen Weiterentwicklung und Qualitätssicherung unserer Softwarelösungen bei. - Du unterstützt uns dabei, schriftliche Arbeitsanweisungen zur korrekten und einheitlichen Dokumentation stetig weiter zu entwickeln. - Du evaluierst Ansätze zur Dokumentation neuer Datenelemente. - Du bist aktiv in die Abläufe für Datenqualität eingebunden. Qualifications - Eine abgeschlossene Ausbildung als Medizinische:r Dokumentationsassistent:in, Medizinische:r Dokumentar:in oder Gesundheits- und Krankenpfleger:in. - Alternativ: Weiterbildung als Study Nurse, Clinical Research Associate (CRA), Clinical Trial Manager:in oder vergleichbare einschlägige Berufserfahrung. - Idealerweise Zertifikat “Tumordokumentar:in”. - Nachgewiesene Erfahrung in der medizinischen Tumordokumentation. - Fundierte Kenntnisse in der Erstellung von Krebsregistermeldungen (unter Berücksichtigung der Landes- und/oder Bundesvorgaben). - Kenntnisse im Umgang mit dem Gießener Tumordokumentationssystem (GTDS/Web-GTDS) oder vergleichbaren onkologischen Dokumentationslösungen sind erwünscht. - Sehr gutes medizinisches Fachwissen in onkologischen Krankheitsbildern. - Sichere Anwendung der medizinischen Nomenklatur und Klassifikation der Krankheiten nach ICD-O und ICD-10. - Basis-IT-Kenntnisse (idealerweise Mac OS) und Offenheit für neue Softwarelösungen. - Sicherer Umgang mit Google-Workspace-Anwendungen. - Ausgeprägte Stressresistenz und die Fähigkeit, auch unter Druck qualitativ hochwertige Arbeit zu leisten. - Hohe Zuverlässigkeit, Kommunikationsfähigkeit und Teamgeist. - Deutsch auf muttersprachlichem Niveau, Englisch Grundkenntnisse. Benefits - Bei Flatiron stehen unsere Mitarbeiter:innen bei allem, was wir tun, im Mittelpunkt. - Wir sind bestrebt, ein inklusives Arbeitsumfeld zu schaffen, das Zugehörigkeit stärkt. - Unsere Teams fühlen sich befähigt, mit Selbstvertrauen wertvolle Beiträge zu unserer Mission zu leisten.

• In this role, you will operate as a scientific leader within the Research Sciences (RS) organization, supporting our Scientific Engagement and Applied Research (SEAR) function, innovating and translating predictive modeling approaches—such as digital twins and other advanced simulation frameworks into decision grade solutions for pharmaceutical and academic partners. • Lead the design, development, and validation of advanced predictive modeling solutions, for digital twins and other patient-level simulation approaches, in clinical development and adjacent use cases (e.g., trial design, cohort selection, endpoint prediction, treatment effect estimation, etc.)) • Advance a methodological strategy against existing and future use cases for applied AI in RWD/RWE by appropriate application of machine-learning, deep learning, causal inference, and multimodal modeling approaches • Ensures that prediction models are scientifically rigorous, clinically grounded, and aligned to decision-oriented use cases • Serve as a scientific lead in client engagements, working closely with our Life Sciences Partnership team to apply, or proactively develop, Flatiron’s modeling strategies and solutions to biopharma clinical development needs • Translate complex methodological concepts into clear, decision-relevant insights for technical and non-technical stakeholders through presentations, reports and other modes of engagement • Act as the organization’s external scientific engagement lead for predictive modeling and applied AI, representing the company at national and international conferences, industry forums, and through publications and scientific communications • Lead authorship of abstracts, manuscripts, and external publications, establishing Flatiron as a leader in applied AI and predictive modeling • Develop and disseminate training on the application of predictive models and applied AI solutions to multiple cross-functional partners in a highly matrixed environment • Partner with Product, Engineering, and Data teams to shape reusable capabilities into existing or novel scalable platforms for predictive analytics

• Work closely with study leads to design client-facing real-world oncology studies with high quality study protocols and statistical analysis plans • Collaborate with statistical programmers to ensure accurate implementation of analyses in accordance with study specifications • Assist in interpretation and presentation of study findings through study reports and presentations to clients • Contribute to discussions with cross-functional stakeholders, including oncologists and project managers, to execute and deliver on projects in an accurate, effective, and timely manner • Continue to develop your understanding of epidemiological and statistical approaches for analyzing observational real-world data and deepen your understanding of cancer biology, therapies, and outcomes across multiple major tumor types

Role 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? 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. - Developing and updating data curation instruction documents as well as data capture forms for multiple solid tumour types and hematologic malignancies. - Helping to develop and refine ML and LLM enabled curation methods. - Supporting data quality and control activities, including maintenance and improvement of existing QA processes. - Planning feasibility and initial testing of novel data points or new data extraction approaches. - Contributing to product development by synthesizing data and feedback to provide insights about the abstraction process. - Supporting quality assurance on dataset deliverables and data analyses. - Collaborating with a cross-functional team including technical, partnerships, and product managers, product designers, data privacy experts, research scientists, and clinical professionals. - Weighing tradeoffs and clearly communicating data-driven recommendations to influence cross-functional stakeholders. - Providing clinical expertise to support the processing and harmonisation of structured data points. Qualifications - Certified as a study nurse, physician, or other form clinical professional, or have a comparable professional education. - Bachelor's or master's degree in health sciences, biology, molecular medicine, or a related applied science. - Education as a nurse with additional training or several years of clinical work in oncology/haematology. - Familiarity with all aspects of how cancer is managed, from diagnosis until cessation of treatment. - Fluent in cancer terminology as well as in general German medical terminology. - Experience with the presentation of clinical data (e.g. ICD codes, cancer registry data) and treatment pathways in oncology care. - Familiarity with electronic health record systems, electronic data capture forms, or other data management systems. - Strong communication skills, including the ability to communicate clinical issues effectively with a diverse team. - Exceptional attention to detail and pragmatic in the search for solutions. - Enjoy working in a fast-paced, cross-functional and international environment. - Fluent in German (C-level, mandatory requirement) and very good English proficiencies (minimum requirement B2-level). Requirements - Strong interest in Large Language Models (LLMs) and experience in applying them to data processing (optional). Benefits - Our people are at the center of everything we do. - We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity.

• Work with a cross-functional team of Flatiron internal and external committee members to review research requests by research partners. • Ensure applications demonstrate interest of the UK public and generate patient benefit. • Attend regular committee meetings and review applications both in person and asynchronously. • Provide feedback to researchers on applications to access Flatiron Health UK RWD products. • Approve summaries of decisions and outcomes of meetings to be drafted and published on Flatiron Health UK’s website.

• Build, update, and perform quality assurance (QA) on Flatiron regimen content in OncoEMR based on NCCN Chemotherapy Order Templates • Migrate and customize Flatiron regimen content for Flatiron customers as part of our new clinical content services offering designed to help practices keep their regimen libraries current and up to date with the latest evidence-based regimens • Map Flatiron regimen content in Flatiron Assist, our oncology-specific clinical decision support platform • Maintain up-to-date tracking and status of all regimen work • Review project status with Clinical Oncology team management and colleagues as appropriate • Adhere to all build and maintenance policies, procedures, and quality standards • Proactively communicate challenges and escalate appropriately to ensure that assigned projects are completed in a timely manner

• In this role, you'll work with Flatiron’s Unstructured Data Processing team to identify protected health information (PHI) in patient medical images and flag that information for removal. • Follow detailed instructions regarding internal policies and procedures for reviewing data and completing image redaction. • Provide feedback to our team about the software that you are using to help us to improve our processes and tools for doing this work efficiently and effectively. • Be expected to consistently complete a high volume of predefined tasks in a timely manner. • Accurately track your time and report any barriers to efficient work in a timely manner.

Reimagine the infrastructure of cancer care within a technology and science community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. We're looking for a detail-oriented professional to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. This contract position will require up to 40 hours of work each week and is expected to last for 4-5 months, with a possibility of being extended. Are you ready to be the next changemaker in cancer care? What You'll Do In this role, you'll work with Flatiron’s Unstructured Data Processing team to identify protected health information (PHI) in patient medical images and flag that information for removal. You’ll also: - Follow detailed instructions regarding internal policies and procedures for reviewing data and completing image redaction - Provide feedback to our team about the software that you are using to help us to improve our processes and tools for doing this work efficiently and effectively - Be expected to consistently complete a high volume of predefined tasks in a timely manner - Accurately track your time and report any barriers to efficient work in a timely manner Who You Are You're a kind, passionate and collaborative problem-solver who values the opportunity to think beyond the way things are. In addition, you're a self-motivated, independent worker with an eye for detail. You have experience with the healthcare industry and understand the importance of maintaining patient privacy. You value the chance to make an important impact. - You have a high comfort level with technology - You have a demonstrated attention to detail and are able to follow instructions, policies, and procedures consistently and efficiently - You have experience with data entry, including strong typing skills - You have experience independently managing time and workload to meet deadlines and expectations as communicated for your role - You have consistent access to a secure, high-speed internet network - You are comfortable with remote work Where You’ll Work In this remote position, you have the freedom to choose your preferred work location while aligning your working hours with your team's. For further details on our hybrid work approach and remote work type, please visit the how we work website. Hourly Rate: $16

Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. We're looking for a part-time (20 hours/week) Abstraction Training Developer 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? What You'll Do In this role, you'll take training content from concept to polished delivery, building out well-scoped learning solutions in industry-standard authoring tools that enable our abstractors to process unstructured data at the highest quality and efficiency. In addition you will: - Build and publish training content in WalkMe and Articulate Rise 360 (and other authoring tools) from documented training drafts and specifications, ensuring technical accuracy, visual consistency, and adherence to established design standards - Support the administration of our Docebo Learning Management System, including user management, course configuration, and troubleshooting - Triage, investigate, and resolve ZenDesk tickets related to learning content, LMS access, and learner support - Ensure all training assets are properly deployed, tracked, and maintained within our learning ecosystem - Collaborate with the Abstraction Training Managers to understand content requirements and deliver high-quality, polished learning solutions on schedule - Identify and implement opportunities to improve the efficiency of content development workflows and learning platform administration Who You Are You're a dedicated technical specialist with deep expertise in modern authoring and learning management tools. You're a self-starter who takes pride in delivering polished, well-executed work and who thrives in roles where you can focus on execution rather than strategy. You're resourceful, detail-oriented, and passionate about creating learning experiences that work. In addition you have: - Expert-level proficiency in WalkMe and Articulate Rise 360 - Experience administering a Learning Management System—Docebo experience is highly desirable; experience with another LMS is acceptable - Strong knowledge of SCORM standards and e-learning best practices - Excellent project management and organizational skills, with the ability to manage multiple content builds simultaneously - A detail-oriented mindset and commitment to delivering polished learning solutions - Comfort working independently and asynchronously - A flexible schedule that allows for a minimum of 2 hours of overlap with U.S. Eastern Time (ET) business hours Extra Credit: - A degree or certification in instructional design, especially with focus on digital learning - Demonstrated experience scoping and delivering cross-functional training solutions for technical or complex subject matter - Experience troubleshooting and supporting learners in an LMS environment - Experience building training content for adult learners with a portfolio of work samples for review Where You'll Work In this remote position, you have the freedom to choose your preferred work location while aligning your working hours with your team's. For further details on our hybrid work approach and remote work type, please visit the how we work website. Hourly Rate: $50 Preferred Primary Location: NY Office An important note on compensation The pay range for this position is based on the preferred primary location of the role which is listed above. If you are applying to this role at a location that is not the preferred primary location, please keep in mind the salary range may vary and may fall outside of what is listed. Base pay offered may vary depending on job-related knowledge, skills, and experience.

• Build and publish training content in WalkMe and Articulate Rise 360 (and other authoring tools) from documented training drafts and specifications, ensuring technical accuracy, visual consistency, and adherence to established design standards • Support the administration of our Docebo Learning Management System, including user management, course configuration, and troubleshooting • Triage, investigate, and resolve ZenDesk tickets related to learning content, LMS access, and learner support • Ensure all training assets are properly deployed, tracked, and maintained within our learning ecosystem • Collaborate with the Abstraction Training Managers to understand content requirements and deliver high-quality, polished learning solutions on schedule • Identify and implement opportunities to improve the efficiency of content development workflows and learning platform administration