Code4lib
Director for Digital Strategy and Library Technology
Code4lib, Stanford, California, United States, 94305
Stanford University School of Medicine is world-renowned for leading‑edge education, research, patient care, and medical advancements. The Department of Educational Programs and Services (EPS) is home to departments and programs that are central to the educational mission of the Stanford University School of Medicine. We serve all populations of students and trainees who participate in the School's programs: Stanford MD, MS, MSPA, and PhD students; visiting MD students seeking clinical clerkships; postdoctoral scholars and medical fellows; and medical practitioners seeking further professional enrichment. Our goal is to provide a Stanford School of Medicine experience worthy of our students' and trainees' talents, aspirations, and dedication.
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.
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 crowdsourcing pipelines to inform research findings. Lead the development of workflow enhancements.
Manage adoption of new technologies and methodologies within the research community.
Oversee the implementation of robust data processing and analysis frameworks to support cutting‑edge research for managing large, complex data sets.
Documentation / Training:
Use advanced technical and professional knowledge to ensure the organization stays at the forefront of evolving technologies and methodologies in research computing, artificial intelligence, and data analysis.
Partnership / Collaboration:
Develop and manage relationships with external technology partners and vendors, leveraging these partnerships to formulate the team’s capabilities and research support services.
Leadership:
Lead and mentor team of technical staff, setting strategic direction and priorities to support faculty, researchers, and students in achieving their research goals.
Manage technical staff, including recruiting, hiring, developing, evaluating, and setting priorities. Adapt a customer service model for the team and communicate and deliver this model to key stakeholders and partners.
Foster an environment of innovation within the team, encouraging exploration of new tools, technologies, and methodologies to enhance research support capabilities.
Keep informed about relevant academic and industry developments, promoting a culture of continuous learning and adaptation.
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.
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, SNOMED CT, and data formats like PubMed/MEDLINE XML, FHIR.
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.
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 .
Pay Range 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.
How to apply https://careersearch.stanford.edu/jobs/director-for-digital-strategy-and-library-technology-29399
Contact Steve Ebeling sebeling@stanford.edu
#J-18808-Ljbffr
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.
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 crowdsourcing pipelines to inform research findings. Lead the development of workflow enhancements.
Manage adoption of new technologies and methodologies within the research community.
Oversee the implementation of robust data processing and analysis frameworks to support cutting‑edge research for managing large, complex data sets.
Documentation / Training:
Use advanced technical and professional knowledge to ensure the organization stays at the forefront of evolving technologies and methodologies in research computing, artificial intelligence, and data analysis.
Partnership / Collaboration:
Develop and manage relationships with external technology partners and vendors, leveraging these partnerships to formulate the team’s capabilities and research support services.
Leadership:
Lead and mentor team of technical staff, setting strategic direction and priorities to support faculty, researchers, and students in achieving their research goals.
Manage technical staff, including recruiting, hiring, developing, evaluating, and setting priorities. Adapt a customer service model for the team and communicate and deliver this model to key stakeholders and partners.
Foster an environment of innovation within the team, encouraging exploration of new tools, technologies, and methodologies to enhance research support capabilities.
Keep informed about relevant academic and industry developments, promoting a culture of continuous learning and adaptation.
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.
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, SNOMED CT, and data formats like PubMed/MEDLINE XML, FHIR.
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.
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 .
Pay Range 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.
How to apply https://careersearch.stanford.edu/jobs/director-for-digital-strategy-and-library-technology-29399
Contact Steve Ebeling sebeling@stanford.edu
#J-18808-Ljbffr