Job Category: Data Analysis
🩺 About Promptly Promptly is revolutionizing healthcare by creating the first patient-centered global evidence network. Our mission? To determine if every patient receives the best possible treatment. We enable real-world data sharing and monetization, collaborating with a network of partners to generate insights from harmonized datasets. These datasets are enhanced with patient-reported data and digital biomarkers, all within a secure, privacy-focused environment. Operating across 10 countries, we're dedicated to improving healthcare quality and reducing costs for thousands daily through Real World Evidence.
🎯 The Role: Medical Data Lead As Medical Data Lead, you will spearhead the structuring and standardization of healthcare data using models like OMOP Common Data Model (CDM) and HL7/FHIR. Working closely with technical and clinical teams, you'll ensure high-quality data harmonization to support real-world data research and healthcare innovation. This remote role is perfect for a healthcare professional with a solid grasp of clinical workflows, data structures, and interoperability.
✅ What You’ll Do (Responsibilities)
- Lead the harmonization of healthcare data, ensuring consistency, accuracy, and compliance with industry standards.
- Support internal product development, promoting scalable and efficient data processing.
- Manage and optimize ETL processes for integrating new data partners.
- Collaborate with data partners to understand their data processing and sharing methods, identifying valuable data elements for the network.
- Review and update policies on codification standards and interoperability in healthcare.
- Contribute to the development and adoption of federated models for data sharing and research, ensuring secure and efficient collaboration.
- Provide clinical insights to enhance data structuring, coding, and standardization efforts.
- Work with internal and external stakeholders to drive the adoption and effective use of OMOP-based data models.
⭐ What We’re Looking For (Requirements)
- A background in healthcare, medicine, nursing, pharmacy, public health, biomedical informatics, or a related field.
- Understanding of healthcare data, electronic health records (EHRs), claims databases, and clinical registries.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills with the ability to translate clinical concepts into data requirements.
✨ Nice to Have
- Experience working with technical teams on data structuring and standardization.
- Previous work with different EHRs, Laboratory Information Management Systems, or Electronic Data Capture (EDC) systems.
- Familiarity with OMOP CDM and standard healthcare terminologies (e.g., SNOMED CT, LOINC, RxNorm, ICD).
- Experience in data modeling, ETL processes, and SQL.
- Prior work in clinical research, epidemiology, or health outcomes research.
📍 Location
🎁 Benefits and Perks
- Ownership: Define your own career pathway.
- Growth Opportunity: Join a fast-growing team making a real impact on healthcare.
- Work Environment: Work with a talented team from top healthcare, startup, and multinational companies.
💰 Financial Benefits:
- Competitive salary
- Annual bonus
- Annual allowance for training
- Equity compensation via our ESOP (available to all team members)
- Private health insurance
- Allowance for home-office equipment
🌱 Non-Financial Benefits:
- Equal opportunity and inclusive environment
- Flexible work schedule
- Flexible vacation policy
- Corporate events (all-hands, retreats, etc.)
⚙️ Recruiting Process
- Initial Interview: Meet with your future manager and/or team members to discuss Promptly and the role.
- Technical Assessment: Complete a test task or business case, depending on the position.
- Additional Interview (if needed): A third interview may be conducted for further clarity.
- Offer Stage: Receive your offer and join our team!
- Reference Checks: We may perform reference checks to validate your background and experience.
If you're excited about using your clinical expertise to transform healthcare data, we encourage you to apply!