Sr. Software Developer

Sr. Software Developer at Stanford University summary:

The Sr. Software Developer at Stanford University leads the design, development, and integration of complex healthcare software solutions that incorporate biomedical data sources such as genomics and EHR. This role emphasizes AI technologies like NLP and ML to enhance clinical data usability and supports healthcare research by maintaining secure, FAIR-compliant data applications. The position also involves mentoring junior developers, overseeing project life cycles, and collaborating with multidisciplinary teams in a medical research environment.

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).

Key responsibilities include applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position offers the opportunity to contribute to cutting-edge healthcare research while mentoring junior engineers and overseeing critical projects.

Duties include:

• 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. Serve as project lead for some projects.

• Oversee testing, debugging, change control, and documentation for major projects.

• Lead and mentor professional staff, as necessary, working on all phases of application development projects.

• Engage in long-term strategic  collaboration with staff and project leadership.

• Define complex application development administration and programming standards.

• Oversee the support, maintenance, operation, upgrades of applications.

• Troubleshoot and resolve complex technical problems.

• Review the physical design of existing systems for optimizing performance.

• Lead projects, as necessary, 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.

• May mentor junior software developers.

* - Other duties may also be assigned

DESIRED

QUALIFICATIONS:

• BS in Software Engineering, Biostatistics, Bioinformatics or research-related program

• Experience performing data analysis in research analyses 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 with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases

• Familiarity with LLMs, NLPs, ML, and other AI technologies

EDUCATION & EXPERIENCE (REQUIRED):

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