Inside Higher Ed is hiring: Director for Digital Strategy and Library Technology

Director for Digital Strategy and Library Technology Stanford University School of Medicine is seeking a Director of Digital Strategy and Library Technology to lead daytoday management of technical functions and provide strategic leadership for Lane Medical Librarys digital library of knowledge. The role involves strategic leadership, AI and machine learning application, and integration of technology to support research, education, and clinical care. Provide strategic leadership and direction by applying technological innovation to develop technical solutions that address complex research challenges. Advise on research computing efforts in support of research project goals. Oversee budget and schedule for complex projects in research computing and data analytics. Design, implement, and support innovative technical solutions, including machine learning algorithms, text and image processing techniques, API programming, custom fullstack applications, automated web scraping, advanced workflows and crowdsourcing pipelines. Manage adoption of new technologies and methodologies within the research community. Oversee implementation of robust data processing and analysis frameworks to support cuttingedge research. Documentation and Training: Use advanced technical and professional knowledge to keep the organization at the forefront of evolving technologies and methodologies in research computing, artificial intelligence, and data analysis. Partnership and Collaboration: Develop and manage relationships with external technology partners and vendors, leveraging these partnerships to formulate team capabilities and research support services. Foster an environment of innovation, encourage exploration of new tools, technologies, and methodologies, and promote continuous learning and adaptation. Masters 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, proficiency in Python and experience with SQL and one or more general-purpose languages (e.g., Java, JavaScript, R). Experience with data processing at scale, including deep understanding of appropriate tools and methodologies. Familiarity with advanced text and image processing techniques, and experience developing and deploying full-stack applications and API integrations. Commitment to continuous learning and staying abreast of the latest technologies and methodologies in research computing. Demonstrated ability to manage and execute project budgets. Experience 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. Knowledge of 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., Practical experience with major cloud providers (GCP, AWS, or Azure) particularly their AI/ML and data services. Understanding of ethical AI principles and their practical application in research and clinical environments. Familiarity with biomedical data standards and ontologies (MeSH, SNOMED CT, PubMed/MEDLINE XML, FHIR). Experience with digital library technologies, discovery layers, link resolvers/OpenURL proxy servers. Constantly perform deskbased computer tasks. Rarely use a telephone, lift/carry objects up to 10lb. University will provide reasonable accommodation for employees with disabilities. May work extended hours, evenings, and weekends. Travel on campus. All interpersonal skills, promote safety culture, and comply with all university policies. Additional benefits include a comprehensive rewards package as described on the Cardinal at Work website. 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. Fulltime