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.
Duties include:
- 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
DESIRED QUALIFICATIONS:
- 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
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor’s degree and five years of relevant experience, or a combination of education and relevant experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Expertise in designing, developing, testing, and deploying applications.
- Proficiency with application design and data modeling.
- Ability to define and solve logical problems for highly technical applications.
- Effective communication skills with both technical and non-technical clients.
- Ability to lead activities on structured team development projects.
- Ability to select, adapt, and effectively use a variety of programming methods.
- Knowledge of application domain.
PHYSICAL REQUIREMENTS*:
- Constantly perform desk-based computer tasks.
- Frequently sit, grasp lightly/fine manipulation.
- Occasionally stand/walk, writing by hand.
- Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds.
- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
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