Inside Higher Ed · 3 weeks ago
Director for Digital Strategy and Library Technology
Stanford, CA
Full-time
Hybrid
Director/Executive
$209K/yr - $231K/yr
7+ years expStanford University School of Medicine is renowned for its education and research, and is seeking a Director for Digital Strategy and Library Technology. This role involves providing strategic leadership and technical direction for Lane Medical Library, focusing on integrating AI solutions to enhance biomedical research and education.
Digital MediaEducationHigher EducationJournalismRecruiting
No H1B
U.S. Citizen Only
Responsibilities
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. 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
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
Develop and manage relationships with external technology partners and vendors, leveraging these partnerships to formulate team's capabilities and research support services
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
Qualification
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
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
Preferred
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)
Benefits
Career development programs
Tuition reimbursement
Family care resources
Superb retirement plans
Generous time-off
Excellent health care benefits
Hundreds of health or fitness classes at our world-class exercise facilities
Free commuter programs
Ridesharing incentives
Discounts and more
Company
Inside Higher Ed
Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2022-01-10Acquired
2006-08-31Series Unknown
Leadership Team
Stephanie Shweiki
Director, Foundation Partnerships
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