Education & Experience (Required):
Master's or PhD degree in computer science, data science, statistics, or a related field and 7 years of relevant experience, or combination of education and relevant experience. At least 3 years of leadership experience with complex research projects and supervisory experience preferred.

Knowledge, Skills and Abilities (Required):
* Demonstrated success in leading teams to apply data science, machine learning, and other advanced computing techniques to solve complex research problems.
* Expertise in data science, machine learning methodologies, and tools, with a proven ability to apply these in a research context.
* Strong programming skills, with proficiency in Python and experience with SQL and one or more general-purpose languages (e.g. Java, JavaScript, R).
* Demonstrated experience preferred with data processing at scale, including a deep understanding of the appropriate tools and methodologies for various scenarios.
* Familiarity with advanced text and image processing techniques, and experience developing and deploying full-stack applications and API integrations in a research setting.
* Exceptional problem-solving skills, creativity in developing customized solutions, and the ability to foresee and navigate future technological challenges.
* Strong leadership and interpersonal skills, with the ability to inspire, influence and motivate and mentor a diverse team, foster collaboration, effective working relationships and communicate effectively with a wide range of stakeholders.
* Commitment to continuous learning and staying abreast of the latest technologies and methodologies in research computing.
* Service-oriented leadership style, with an emphasis on supporting and developing team members and facilitating the success of researchers with varying levels of technical expertise.
* Demonstrated ability to manage and execute project budgets.
* Exceptional customer relationship and consensus building skills.
* Ability to identify and escalate complex issues quickly and make decisions that meet team objectives in a collaborative culture.

Desired Qualifications:
* Demonstrated expertise designing, deploying, and operating AI/ML solutions for information discovery and access including large language models, NLP, embeddings, vector/semantic search, RAG pipelines, knowledge graphs, and recommender systems.
* Familiarity with traditional information retrieval and search engineering, including indexing pipelines, schema, relevance tuning, query expansion, learning-to-rank, and operation of enterprise search platforms (e.g. Solr, Elasticsearch/OpenSearch).
* Practical experience with major cloud providers (GCP, AWS or Azure) particularly their AI/ML and data services.
* Familiarity with infrastructure as code tools like Terraform to manage and provision cloud resources programmatically.
* Understanding of ethical AI principles and their practical application in a research and clinical environment.
* Familiarity with biomedical data standards and ontologies used in health sciences, such as MeSH (Medical Subject Headings), SNOMED CT, and data formats like PubMed/MEDLINE XML, FHIR (Fast Healthcare Interoperability Resources).
* Experience with digital library technologies including discovery layers (e.g. Alma/Primo, Blacklight), link resolvers/OpenURL proxy servers (EZproxy).

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 the job.

Working Conditions:
* May work extended hours, evening, and weekends.
* Travel on campus to schools/units.

Work Standards:
* 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, http://adminguide.stanford.edu.

The expected pay range for this position is $208,736 to $230,800 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 (https://cardinalatwork.stanford.edu/benefits-rewards) 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.

Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
* Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
* A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
* A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
* Discovery and fun. Stroll through historic sculptures, trails, and museums.
* Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!

We pride ourselves in being a culture that encourages and empowers you.

*The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

*Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

*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.

Please note: Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S.