Role Description In the position of Data Science, you will have the opportunity to join the Analytics team and develop an AI-based tool capable of mapping specific hospital data, such as departments and units of measurement, to standardized vocabularies, ensuring data consistency and interoperability. - Develop and contribute to the realization of an AI-based tool for mapping hospital data to standardized vocabularies. - Analyze data from various healthcare facilities and identify methods for normalization and standardization. - Design and implement data mapping logic between specific hospital system information and shared standards. - Collaborate with technical teams and healthcare stakeholders to understand requirements and improve data quality. Qualifications - Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or related fields. - Knowledge of major programming languages, preferably Python. - Experience in developing AI and Machine Learning solutions, with a particular interest in NLP/LLM models. - Familiarity with mapping techniques, data transformation, and data integration. - Knowledge of relational databases and NoSQL. - Excellent command of the English language. Company Description Dedalus is committed to providing an engaging and rewarding work experience that reflects the passion we put into our mission of helping doctors and nurses deliver better care in the communities they serve. - We promote a culture where employees are encouraged to learn, innovate, and enhance cooperation and clinical processes. - We aim to make a significant difference for millions of people worldwide. - Our company is diverse and consists of 7,600 people across more than 40 countries. - We work together to innovate and improve healthcare opportunities for millions of patients globally. You can submit your application until: July 27, 2026. Our Diversity & Inclusion Commitment defines Dedalus's approach to ensuring respect, inclusion, and success for all our people and the communities we operate in.

Role Description Join us as our Chief Data Architect at Dedalus, one of the World’s leading healthcare technology companies, based remotely anywhere in Europe, to do the best work of your career and make a profound impact in providing better care for a healthier planet. Reporting to the Chief Technology Officer, you will own the architecture and technical direction of Dedalus’s data platform end-to-end starting with key assets: - De-identified European clinical data repository - The data plane tied to the company-wide agentic AI strategy i.e. semantic data layer, event trace and audit architecture. A primary early objective is to design these as three interconnected programmes with independent timelines based on what is already in place, removing mutual blocking and accelerating overall AI readiness. The vision is for the Enterprise Data platform to be comprised of much more than this, including additional internal knowledge and capabilities. This is a senior individual contributor and leadership role. The person in this role will: - Work hands on with engineering teams across products to refine and validate architectural decisions and deliver against them. - Define and implement technology choices across the data stack: processing engines, analytical platforms (Databricks, Snowflake, or equivalent), vector stores, streaming infrastructure, and governance tooling. - Define the semantic layer that enables AI agents to query clinical data with consistent, domain-appropriate vocabulary across ORBIS’s fragmented product estate. - Define the medallion architecture (bronze/silver/gold) and be responsible for the data pipelines for phenotypic and, eventually, genotypic data to support precision medicine use cases from 2028 onwards. - Design and own a data fabric with lakehouse architecture providing: read-by-reference access across application systems without requiring full data transformation; a medallion model for progressive data refinement. Qualifications - Substantial experience building data platforms in regulated healthcare or life sciences. - Demonstrated experience architecting platforms that integrate heterogeneous diagnostic data domains. - Lived experience with GDPR/DSGVO as an architectural constraint. - Familiarity with the MDR/SaMD regulatory landscape. - Production hands-on experience with modern data stack components: Databricks and/or Snowflake, streaming infrastructure (Kafka or equivalent), dbt or similar transformation tooling. - Experience designing medallion architectures (bronze/silver/gold) and read-by-reference data access patterns. - Strong opinions on when Databricks vs Snowflake vs Spark vs something else is the right choice, and why. - Understanding of data infrastructure for AI systems. - Experience designing platforms intended to be consumed by third parties. - Credibility with engineers — not as a manager, but as someone who has done the work. Requirements - Experience designing platforms intended to be consumed by third parties: schema versioning, backward compatibility, deprecation policy. - Working knowledge of healthcare interoperability standards (FHIR R4/R5, DC4H, HL7 v2/v3). - Experience setting technical direction across multiple product lines and geographies. Desirable Requirements - Direct experience with genomic or multi-omics data management, governance, and storage architecture. - Experience architecting or contributing to a federated learning or privacy-preserving ML infrastructure in a healthcare context. - Experience working within or alongside a clinical trial matching or real-world evidence platform. - Previous experience in a PE-backed or pre-IPO technology company navigating capital markets scrutiny of data strategy. - Familiarity with EU AI Act Annex IV technical documentation requirements for high-risk AI systems. Benefits - Engaging, rewarding work experience. - Encouragement to learn and innovate. - Culture of diversity and inclusion.

Role Description The Oncology Data Specialist-Certified is responsible for complete and accurate abstracting of cancer data in accordance with the American College of Surgeons requirements and the Florida Cancer Data system. The incumbent identifies applicable cases for inclusion in the registry (case-finding), abstract and lifetime follow-up of cancer cases diagnosed and/or treated at Tampa General Hospital. This position also assists with various department activities including but not limited to: - Tumor conferences - Cancer Committee meetings - CoC preparation for accreditation and survey - RCRS submissions - FCDS reporting Qualifications - Associate's Degree in Arts or Science - Oncology Data Specialist-Certified: If currently enrolled in an approved program, you must obtain certification within the first year of employment Requirements - Minimum of one year cancer registry abstracting experience in a Commission on Cancer (CoC) approved Cancer Registry - Experience with Cancer Registry Software (CNEXT/Oncology)

Role Description Are you an iPhone user looking for flexible remote work that fits around your schedule? We're recruiting participants for an exciting AI data collection project. You'll record short first-person (egocentric) videos using your own iPhone while completing normal daily activities. These recordings help train next-generation artificial intelligence systems used in computer vision, robotics, and human activity recognition. This is a flexible independent contractor opportunity where you can complete recordings from your own home, workplace, or other appropriate environments while following project guidelines. What You'll Do - Record high-quality first-person videos using your iPhone and a headset. - Perform everyday activities naturally while recording. - Upload recordings through the project platform. - Follow recording instructions and quality standards. - Re-record activities if requested during quality review. - Meet submission deadlines. - Maintain confidentiality and comply with all project requirements. Examples of Recording Activities - Cooking and meal preparation - Cleaning and household chores - Laundry and organizing - Grocery shopping - Walking indoors or outdoors - Gardening - Property maintenance - Warehouse or retail work - Restaurant kitchen tasks - Hotel housekeeping - Delivery or logistics activities - Office or administrative work Compensation Compensation is based on approved recording hours that meet the project's quality requirements. - $3.00 USD per approved hour - Approved hours are reviewed and reported weekly. - On average, approximately 45 minutes of every recorded hour is typically approved, provided recordings meet project quality standards. Hiring Process - Online application - Device compatibility verification - Internet and hardware testing - Digital agreement and consent forms - Training - Sample video submission - Quality approval - Project activation Requirements - Applicants must be at least 18 years old. - Own a compatible iPhone. - Have reliable internet access for uploading recordings. - Be comfortable recording daily activities from a first-person perspective. - Be able to follow written instructions carefully. - Be available to record a minimum of 3 hours per day. - Successful participants will also: - Produce steady, clear recordings. - Follow all recording guidelines. - Record in suitable lighting whenever possible. - Submit recordings on time. - Respect privacy requirements. - Avoid recording confidential or sensitive information. - Produce authentic, unstaged recordings. - Keep both hands visible for at least 60% of each recording.