Stanford University School of Medicine
Director for Digital Strategy and Library Technology
Stanford University School of Medicine, Stanford, California, United States, 94305
Director for Digital Strategy and Library Technology
Join to apply for the
Director for Digital Strategy and Library Technology
role at
Stanford University School of Medicine . This position has been deemed critical by the School of Medicine and is exempt from the hiring freeze.
Department Information Lane Medical Library accelerates scientific discovery, clinical care, medical education, and humanities through teaching, collaboration, and delivery of biomedical and historical resources. The library is a state‑of‑the‑art medical library within the Medical Student Education group and supports Stanford Medical Center’s research, education, and patient‑care objectives.
Job Purpose Provide strategic leadership and direction by applying technological innovation to develop technical solutions that address complex research challenges. Lead the digital library of knowledge and embed AI/ML expertise into library services to improve access and discoverability of biomedical knowledge.
Core Duties
Lead engagement with faculty and researchers to understand their strategic research goals and needs, identifying technical obstacles and solutions for highly complex research questions.
Advise on research computing efforts in support of research project goals.
Oversee budget and schedule for complex projects in research computing and data analytics, supporting project teams to design, implement, and sustain innovative technical solutions.
Manage adoption of new technologies and methodologies within the research community.
Lead the development of workflow enhancements and ensure robust data processing and analysis frameworks for large, complex data sets.
Develop and manage relationships with external technology partners and vendors.
Lead and mentor a technical staff team, setting strategic direction, recruiting, hiring, evaluating, and maintaining a customer‑service model.
Foster an environment of innovation, encouraging exploration of new tools, technologies, and methodologies.
Stay informed about relevant academic and industry developments, promoting a culture of continuous learning.
Education & Experience (Required) Master’s or PhD degree in computer science, data science, statistics, or a related field, and 7 years of 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 applying data science, machine learning, and advanced computing techniques to solve complex research problems.
Expertise in data science, machine learning methodologies, and tools; proven ability to apply these in research contexts.
Strong programming skills: Python and experience with SQL, Java, JavaScript, or R.
Experience with scaling data processing and understanding of appropriate tools and methodologies.
Familiarity with advanced text and image processing techniques and experience developing full‑stack applications and API integrations.
Exceptional problem‑solving, creativity, and the ability to foresee technological challenges.
Strong leadership and interpersonal skills with the ability to inspire, collaborate, and communicate effectively with diverse stakeholders.
Commitment to continuous learning of emerging technologies.
Service‑oriented leadership style focused on supporting team members.
Ability to manage and execute project budgets.
Exceptional customer‑relationship and consensus‑building skills.
Quick decision‑making to meet team objectives in a collaborative culture.
Desired Qualifications
Expertise in 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, indexing pipelines, schema tuning, and enterprise search platforms such as Solr, Elasticsearch/OpenSearch.
Experience with major cloud providers (GCP, AWS, or Azure) and AI/ML data services.
Knowledge of infrastructure‑as‑code tools like Terraform.
Understanding of ethical AI principles.
Familiarity with biomedical data standards (MeSH, SNOMED CT, PubMed/MEDLINE XML, FHIR).
Experience with digital library technologies (Alma/Primo, Blacklight, Link Resolvers, EZproxy).
Physical Requirements
Constant desk‑based computer tasks.
Frequent sitting and fine‑manipulation.
Occasional standing/walking and writing by hand.
Rarely lifting or carrying objects up to 10 pounds.
University will provide reasonable accommodation to employees with disabilities.
Working Conditions
May work extended hours, evenings, and weekends.
Travel on campus to schools/units as needed.
Work Standards
Interpersonal skills: works well with colleagues and external organizations.
Promotes a culture of safety and communicates safety concerns.
Complies with all university policies and procedures.
Expected pay range:
$208,736 to $230,800 per annum.
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. Campus visits are on a case‑by‑case basis. Please note: Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S.
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Director for Digital Strategy and Library Technology
role at
Stanford University School of Medicine . This position has been deemed critical by the School of Medicine and is exempt from the hiring freeze.
Department Information Lane Medical Library accelerates scientific discovery, clinical care, medical education, and humanities through teaching, collaboration, and delivery of biomedical and historical resources. The library is a state‑of‑the‑art medical library within the Medical Student Education group and supports Stanford Medical Center’s research, education, and patient‑care objectives.
Job Purpose Provide strategic leadership and direction by applying technological innovation to develop technical solutions that address complex research challenges. Lead the digital library of knowledge and embed AI/ML expertise into library services to improve access and discoverability of biomedical knowledge.
Core Duties
Lead engagement with faculty and researchers to understand their strategic research goals and needs, identifying technical obstacles and solutions for highly complex research questions.
Advise on research computing efforts in support of research project goals.
Oversee budget and schedule for complex projects in research computing and data analytics, supporting project teams to design, implement, and sustain innovative technical solutions.
Manage adoption of new technologies and methodologies within the research community.
Lead the development of workflow enhancements and ensure robust data processing and analysis frameworks for large, complex data sets.
Develop and manage relationships with external technology partners and vendors.
Lead and mentor a technical staff team, setting strategic direction, recruiting, hiring, evaluating, and maintaining a customer‑service model.
Foster an environment of innovation, encouraging exploration of new tools, technologies, and methodologies.
Stay informed about relevant academic and industry developments, promoting a culture of continuous learning.
Education & Experience (Required) Master’s or PhD degree in computer science, data science, statistics, or a related field, and 7 years of 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 applying data science, machine learning, and advanced computing techniques to solve complex research problems.
Expertise in data science, machine learning methodologies, and tools; proven ability to apply these in research contexts.
Strong programming skills: Python and experience with SQL, Java, JavaScript, or R.
Experience with scaling data processing and understanding of appropriate tools and methodologies.
Familiarity with advanced text and image processing techniques and experience developing full‑stack applications and API integrations.
Exceptional problem‑solving, creativity, and the ability to foresee technological challenges.
Strong leadership and interpersonal skills with the ability to inspire, collaborate, and communicate effectively with diverse stakeholders.
Commitment to continuous learning of emerging technologies.
Service‑oriented leadership style focused on supporting team members.
Ability to manage and execute project budgets.
Exceptional customer‑relationship and consensus‑building skills.
Quick decision‑making to meet team objectives in a collaborative culture.
Desired Qualifications
Expertise in 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, indexing pipelines, schema tuning, and enterprise search platforms such as Solr, Elasticsearch/OpenSearch.
Experience with major cloud providers (GCP, AWS, or Azure) and AI/ML data services.
Knowledge of infrastructure‑as‑code tools like Terraform.
Understanding of ethical AI principles.
Familiarity with biomedical data standards (MeSH, SNOMED CT, PubMed/MEDLINE XML, FHIR).
Experience with digital library technologies (Alma/Primo, Blacklight, Link Resolvers, EZproxy).
Physical Requirements
Constant desk‑based computer tasks.
Frequent sitting and fine‑manipulation.
Occasional standing/walking and writing by hand.
Rarely lifting or carrying objects up to 10 pounds.
University will provide reasonable accommodation to employees with disabilities.
Working Conditions
May work extended hours, evenings, and weekends.
Travel on campus to schools/units as needed.
Work Standards
Interpersonal skills: works well with colleagues and external organizations.
Promotes a culture of safety and communicates safety concerns.
Complies with all university policies and procedures.
Expected pay range:
$208,736 to $230,800 per annum.
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. Campus visits are on a case‑by‑case basis. Please note: Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S.
#J-18808-Ljbffr