Stanford University-posted 3 months ago
$138,402 - $163,985/Yr
Full-time • Mid Level
Stanford, CA
Educational Services

Stanford University is seeking a Software Developer that is passionate about biomedical informatics and leveraging AI to enhance healthcare. The successful candidate will contribute to the expansion and upgrading of the data environment at Stanford School of Medicine, focusing on large-scale data mining and predictive analytics. Responsibilities include integrating diverse data sources such as radiology and pathology imaging, genomics, electronic health records (EHR), and real-time location systems into the clinical data warehouse, ensuring the creation of coherent biomedical datasets that are Findable, Accessible, Interoperable, and Re-usable. Join us in our mission to improve human health through innovative technology and research collaboration.

  • Conceptualize design, implement, and develop solutions for complex system/programs independently.
  • Work with a variety of users to gain information, and develop intra-system tradeoffs between different users, as necessary; interact with a diverse client base and outside vendor contacts.
  • Document system builds and application configurations; maintain and update documentation as needed.
  • Provide technical analysis, design, development, conversion, and implementation work.
  • Work as a project leader, as needed, for projects of moderate complexity.
  • Serve as a technical resource for applications.
  • Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment.
  • Follow team software development methodology.
  • Mentor lower level software developers.
  • Other duties may also be assigned.
  • B.S in Software Engineering, Biotech, or related program (IT background).
  • Experience working in IT infrastructure development and software development front and back end.
  • Fluency in SQL, Python and R.
  • Familiarity with Cloud computing paradigm and platforms like Google Cloud or Azure.
  • Experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes.
  • Experience with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases.
  • Familiarity with LLMs, NLPs, ML, other AI technologies.
  • Experience with Epic Clarity, SQL, tools and data warehouses.
  • Experience with FHIR Interoperability Solutions.
  • Comprehensive rewards package including health insurance, retirement plans, and paid time off.
  • Flexible work arrangements.
  • Professional development opportunities.
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