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.
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 planning.in 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.
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 GitLab CI/CD or GitHub 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 experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
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 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.
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.
WORKING CONDITIONS:
May work extended hours, evening and weekends.
Travel on campus to schools/units.
The expected pay range for this position is $169,728 to $194,585 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
WORK STANDARDS (from JDL)
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,
