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Director for Digital Strategy and Library Technology

Job in Stanford, Santa Clara County, California, 94305, USA
Listing for: Digital Library Federation
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Department Information

Stanford University School of Medicine’s 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 which supports Stanford Medical Center’s research, education, and patient care objectives. Lane Library supports its mission to accelerate scientific discovery in part by curating a collection of print and digital knowledge resources relevant to the in-depth research, graduate-level education, and clinical patient care performed by the Stanford Medicine community and its affiliated hospitals and clinics.

We are proud of our rich history dating back to 1882.

Job Purpose

Provide strategic leadership and direction by applying technological innovation to develop technical solutions that address complex research challenges. Achieve mission and goals through the management of staff. Reporting to the Associate Dean for Knowledge Management, Stanford Medicine is seeking a to lead day-to-day management of technical functions and provide strategic leadership for Lane Medical Library’s digital library of knowledge. Lane Medical Library provides 24/7 digital access to an extensive collection in clinical medicine, biomedicine, and public health to support biomedical education, research, and clinical care for Stanford School of Medicine and Hospitals.

The Director for Digital Strategy and Library Technology will provide technical leadership and strategic direction, expertise in AI solutions to transform how the medical library facilitates discovery, access, and use of biomedical knowledge. This position sits at the intersection of data science, information management, and health sciences research, embedding advanced AI/ML expertise into library services to accelerate evidence-based medicine by improving resource discoverability and accessibility within a complex research landscape and fast‑paced clinical environment.

Excellent organization and communication skills are required to manage and direct the integration of quickly evolving technology into research, education, and clinical workflows, often requiring solutions that combine multiple computational tools and techniques in addition to collaboration outside of the library. Analysis of user feedback will inform proposals for new computational approaches, tooling and training to better meet researcher and learner needs.

While a library or information science degree is not required, the successful candidate will combine highly specialized technical expertise and knowledge of AI/ML with excellent interpersonal skills, enabling effective and time‑sensitive collaboration to partner with faculty, clinicians, researchers, and library staff. The Director for Digital Strategy and Library Technology will join Lane’s senior leadership team and play a key role in positioning Lane Medical Library as a leader in responsible AI adoption within an academic health sciences and broader biomedical community.

This position will be based on the Stanford campus and will be considered for an option of telecommuting from the Bay Area (hybrid of working 2-3 days on‑site), subject to operational need.

Core Duties Researcher Engagement
  • 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.
Solutions Development
  • Oversee budget and schedule for complex projects in research computing and data analytics. Support research needs by overseeing teams engaged in projects and operations to design, implement, and support innovative technical solutions. Areas could include machine learning algorithms, text and image processing techniques, API programming, custom full‑stack applications, automated web scraping, advanced workflows and crowd sourcing pipelines to inform research findings. Lead the development of workflow enhancements.
  • Manage adoption of new…
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