Sr. Software Developer

Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading the integration of large‑scale biomedical data sources—such as radiology and pathology imaging, genomics, and electronic health records (EHR)—into Stanford's clinical data warehouse. The Sr. Software Developer will design, implement, and maintain both front‑end and back‑end solutions for healthcare applications, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR) and applying AI tools like natural language processing (NLP) and machine learning (ML).

The position offers the opportunity to contribute to cutting‑edge healthcare research while mentoring junior engineers and overseeing critical projects.

• Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications.
• Contribute to all phases of a project, including systems analysis, program design, development, and implementation, and serve as project lead for some projects.
• Oversee testing, debugging, change control, and documentation for major projects.
• Lead and mentor professional staff, leading all phases of application development projects.
• Engage in long‑term strategic planning in collaboration with staff and project leadership.
• Define complex application development administration and programming standards.
• Oversee support, maintenance, operation, and upgrades of applications.
• Troubleshoot and resolve complex technical problems.
• Review the physical design of existing systems for optimizing performance.
• Lead projects for special systems and application development in areas of complex problems.
• Work with other technical professionals to develop standards and implement best practices.
• Provide innovative programming and analysis.
• Mentor junior software developers.
• Other duties may also be assigned.

• BS in Software Engineering, Biostatistics, Bioinformatics, or a research‑related program.
• Experience performing data analysis and visualization work in a healthcare research or clinical setting.
• Fluency in SQL, Python, and R.
• Strong knowledge of cloud platforms such as Google Cloud, Azure, or AWS.
• Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes.
• Experience with CI/CD tools such as Git Lab CI/CD or Git Hub Actions.
• Solid programming skills and experience in scripting.
• Experience with data transformation and workflow tools such as dbt, Airflow, or WDL.
• Strong knowledge of database architecture best practices.
• Strong interpersonal and communication skills to interact with technical and non‑technical stakeholders.
• Excellent writing and analytical skills.
• Five years of experience collaborating as a computational biologist or biostatistician.
• Experience with common data models like OMOP, PCORnet, or i2b2.
• Experience with ontologies, terminologies, UMLS, or Semantic Web.
• Familiarity with cloud computing paradigm.
• Experience working in a medical school environment, and with HIPAA PHI and other clinical EHR databases.
• Familiarity with LLMs, NLP, ML, and other AI technologies.

Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience.

• Ability to quickly learn and adapt to new technologies and programming tools.
• Demonstrated experience in designing, developing, testing, and deploying applications.
• Strong understanding of data design, architecture, relational databases, and data modeling.
• Thorough understanding of all aspects of the software development life cycle and quality control practices.
• Ability to define and solve logical problems for highly technical applications.
• Strong communication skills with both technical and non‑technical clients.
• Demonstrated experience leading activities on structured team development projects.
• Ability to select, adapt, and effectively use a variety of programming methods.
• Ability to recognize and recommend needed changes in user and/or operations procedures.

• Constantly…