Research Data Stewardship Specialist at Oregon Health & Science University in Portland, Oregon

Job Description:

Oregon Health & Science University

Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or aaeo@ohsu.edu.


Research Data Stewardship Specialist

US-OR-Portland

Job ID: 2024-29490
Type: Regular Full-Time
# of Openings: 1
Category: Faculty/Provider
Portland, OR (Marquam Hill)

Overview

• Provides instruction related to research data management, data sharing, and rigor and reproducibility, including co-directing a graduate-level course on practices that impact scientific rigor and reproducibility.
• Develops and delivers educational opportunities and outreach that increases awareness of and engagement with research data best practices and innovations.
• Answers reference questions and provides expert advice to research investigators, staff, and learners related to rigor and reproducibility, open science, ethical data practices, and compliance with funders’ policies.
• Provides support and professional development opportunities that grow Library staff’s knowledge about research data management and data sharing.
• Builds and sustains relationships with research communities at OHSU to inform and grow Library services.
• Contributes to the creation, outreach, and sustainability of tools and resources that support research data management and data sharing.
• Represents the Library on cross-institutional committees and initiatives and ensures multi-directional knowledge sharing.
• Fosters an inclusive and diverse atmosphere, including in pedagogical approaches, reference consultations, and teamwork.
• Contributes to the Publishing and Data Services team by creating, evaluating, and advancing new ideas and initiatives.
• As a faculty member, creates and contributes to scholarship and research; engages in service to institutional, regional, national, and international professional organizations and initiatives.

Responsibilities

• Relevant graduate degree, such as a Ph.D. in a biomedical or clinical research area, master's degree in library/information science (MLS), or other related areas of study.

• Substantial knowledge of quantitative or mixed-methods research methodologies in a health sciences or biomedical domain.

• Knowledge of experimental methods, data management and sharing, and reporting practices that contribute to rigor and reproducibility.

• Solid and applied grasp of statistical methods and data analysis techniques.

• Proficient in using at least one programming language for data analysis. Can clean, manipulate, and visualize data independently.

• Familiarity with common administrative research workflows, such as Institutional Review Board (IRB) review, Data Management Plans (DMPs), or Data Use Agreements (DUAs).

• Pedagogical training or experience delivering instruction to adult learners.

• Ability to communicate complex ideas to a wide variety of audiences.

• Experience cultivating and growing connections with communities, such as researchers and adult learners,

• Proven ability to work effectively and collaboratively across diverse disciplines and levels of expertise.

• Demonstrated problem-solving skills; ability to manage multiple, shifting priorities.

Qualifications

• Experience working in a biomedical or clinical research lab setting.
• Specialized knowledge of experimental methods, data management and sharing, and reporting practices that contribute to rigor and reproducibility in a specific research area, such as structural biology, behavioral neuroscience, or computational biology.
• Demonstrated ability to establish and grow strategic relationships within biomedical and health science research communities.
• Knowledge of emerging technologies used in research, such as generative artificial intelligence (GAI).
• Knowledge of issues, practices, and technology that can support antiracist, anticolonial, and/or inclusive practices and outcomes in research, and teaching and learning, such as the CARE Principles for Indigenous Data Governance and inclusive citation practices.
• Knowledge of data de-identification practices.
• Experience in grant writing.

PI239585199

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