{"id":3191957,"url":"https://alion.io/job/oclc-associate-research-scientist","title":"Associate Research Scientist","company":{"id":1799194,"name":"OCLC","domain":"yourcloudlibrary.com","url":"https://alion.io/company/yourcloudlibrary","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":202000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":398},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Knowledge Graph","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-29T08:04:10Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Together we make breakthroughs possible.\nAt OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You’lllearn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.\nWhy join OCLC?\nOCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.\nWe know the best ideas don’t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We’re committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.\n\nFree use of our on-site fitness center, gym sports, group exercise classes, and game room\n\nOnsite catering and cafeteria subsidized by OCLC\n\nHealth and wellness events\n\nWork environments with individual and team spaces and the latest technology tools\n\nPaid parental leave and adoption assistance\n\nTuition reimbursement and Public Service Loan Forgiveness eligibility\n\nCompany-subsidized pricing on local tickets and memberships\n\nJoin us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.\nThe job details are as follows:\nWe're growing our Research Insights team at OCLC Research, and we're looking for an associate research scientist to join us. You'll work alongside two senior research scientists and two data and software engineering professionals, contributing to projects that help libraries navigate technology transformation, changing institutional and organizational landscapes, and support research, teaching, and learning.We're looking for an enthusiastic generalist: someone ready to dive into a range of qualitative, quantitative, and technical projects. You'll draw on large, complex datasets, often OCLC's own data, sometimes collected elsewhere, but you'll also conduct interviews, run surveys, synthesize literature, and help design studies from the ground up. You'll turn what you find into research that matters to library leaders and practitioners, and you'll share that work directly with the people who use it through blog posts, reports, and webinars.\nThis position is a great fit if you have demonstrated research experience across methods, a working knowledge of library work, and the curiosity and flexibility to pick up whatever skills a given project requires, including quantitative and technical skills.\nMajor Responsibilities\nContribute to research projects across the full lifecycle, from framing questions and designing studies to collecting, analyzing, and communicating results\nWork with a mix of qualitative and quantitative methods, matching the approach to the research question rather than a single toolkit\nUtilize generative AI tools to assist and augment the research process - in particular to create data preparation and analysis workflows that can be verified and repeated.\nAnalyze datasets using Python, R, statistical tools, or qualitative analysis methods as the project requires, partnering with technical staff on data access and quality where needed\nBuild your knowledge of library cataloging systems, metadata standards, and library work, and apply that knowledge to research design\nExplore how linked data and AI-enabled discovery and workflow tools are reshaping metadata and library operations\nCo-author blog posts, reports, and briefs that translate research findings for a library audience\nRepresent OCLC in webinars and other external communications\nBring new tools and methods to the team as you continue building your skills\nMinimum Requirements\nA master's degree in a relevant field (library and information science, social science, data science, or related); a doctorate is not required but is encouraged\nDemonstrated experience across the research lifecycle, from ideation to completion\nComfort with at least one area of research methods (qualitative, quantitative, or technical), and a genuine willingness to learn others\nClear writing and communication skills, with the ability to make research accessible to a library audience\nThe ability to work on-site in Dublin, Ohio, three days a week\nPreferred - not required\nA working knowledge of library cataloging systems, library operations, or library work more broadly\nComfort working with large datasets in Python, R, or similar tools\nExperience with relational databases\nPrior experience working in a library setting\nInterest in linked data, knowledge graphs, or AI-enabled discovery and workflow tools\nExperience writing for a professional, non-academic audience\nExperience presenting at webinars or conferences\nWhy OCLC Research\nAt OCLC Research, you'll join a team that connects research to practice for libraries worldwide. You'll have the support of an experienced team, access to OCLC's data and member library network, and the chance to shape work that helps library leaders make the case for the value they provide.\nWork arrangement\nThis is a hybrid role based at OCLC headquarters in Dublin, Ohio, with three days on-site and two days remote each week.\nWorking Conditions: Normal office environment.\nADA/EAA: The above statements cover what are generally believed to be the principal and essential functions of this job. 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