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Software Developer
2 months ago
We are seeking a highly skilled Software Developer to join our dynamic research team at the Center for Data Science in Emergency Medicine (CDEM) at the Johns Hopkins School of Medicine.
Key Responsibilities- Database Management: Troubleshoot and optimize performance of large-scale SQL databases within Azure using advanced query tuning techniques, ensuring high availability and scalability for healthcare data pipelines.
- Data Standardization: Develop and maintain data dictionaries to standardize data definitions across the team, leading weekly code reviews to ensure adherence to best practices for data cleaning, transformation, and analysis.
- Documentation and Collaboration: Document code using industry-standard tools and maintain a version control system to facilitate collaboration and code rollback if necessary.
- User Story Development: Develop clear and concise user stories and technical documentation for complex data science projects, utilizing data visualization tools to effectively communicate workflows to non-technical stakeholders.
- Machine Learning: Develop and implement machine learning models to predict patient readmission risks or identify potential fraud cases within healthcare claims data.
- Healthcare Application Development: Develop and maintain secure and scalable healthcare applications using frameworks like USCDI that seamlessly integrate with Epic EHR for improved clinical decision support.
- Domain Expertise: Develop expertise in the medical domain by actively acquiring a strong understanding of medical terminology, disease processes, and relevant clinical data, used to effectively analyze and interpret healthcare datasets for AI model development.
- Insight Generation: Translate medical knowledge into actionable insights, acting as a bridge between the medical and data science worlds, and understanding the medical context and implications to translate complex medical information into a format suitable for machine learning algorithms.
- Industry Advancements: Stay abreast of cutting-edge advancements in AI and healthcare technology by attending industry conferences and workshops, and proactively research and integrate these advancements into ongoing projects to improve efficiency and accuracy.
- Mentorship and Training: Mentor junior developers by conducting code reviews, providing constructive feedback, and offering guidance on best practices for designing, developing, and testing healthcare applications, and develop and deliver training sessions on new technologies and healthcare data management tools.
- Innovation and Research: Champion innovative approaches to healthcare software development, conduct research to identify emerging technologies, and propose novel solutions that integrate seamlessly with existing healthcare infrastructure, and present findings and recommendations to leadership to influence the future direction of healthcare software development within the team.
- Education: Bachelor's Degree.
- Experience: Five years related experience.
- Additional Education or Experience: Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.
- Cloud Integration: Experience with cloud integration (Azure preferred).
- Healthcare Data Experience: Prior experience with healthcare data and, in particular, EPIC clarity/caboodle databases.
- Healthcare APIs and Interoperability: Prior experience with common healthcare APIs and interoperability standards including HL7 version 2 and FHIR/SMART on FHIR.
- Advanced SQL Capabilities: Advanced capabilities in SQL-MS SQL (including T-SQL, ability to create views, stored procedures, SSIS packages, user defined functions, etc.).
- Web App Platforms: Experience with web app platforms: Vue.JS or similar JavaScript framework.
- Source Control: Experience with source control: SVN, Git and Gitlow.