Senior Level Research Data Manager Jobs
Senior level research data manager jobs put experienced professionals in charge of data governance strategy, complex study design, and the cross-functional teams that deliver research outcomes at scale. Roles are concentrated in Education, Science & Research, and Healthcare & Medical Services, with a mix of on-site, remote, and hybrid settings, and employers like Invesco, Coleridge, and TransUnion hiring at this level now.
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Research Data Manager
Arizona State University
Campus: Tempe
JR128965
End Date: November 17, 2026
Apply before 11:59 PM Arizona time the day before the posted End Date.
Minimum Qualifications:
Bachelor's degree and seven (7) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.
Job Description:
Position Salary Range: $85,700 - $95,000 per year; DOE
The Research Data Manager supports ASU’s Knowledge Enterprise through the design, implementation, coordination, and stewardship of research data management activities for research projects, initiatives, and operational activities. Working with investigators, research teams, internal stakeholders, and external partners, the position helps to ensure that research data are managed as reliable, secure, accessible, and reusable research assets throughout the research data lifecycle. Additionally, the role promotes consistent data management practices, upholds institutional standards, and supports compliance with sponsor requirements, data sharing expectations, and applicable regulatory frameworks. The Research Data Manager develops, implements, maintains, and improves research data systems, workflows, standards, and documentation that support complex and multidisciplinary research initiatives. This includes coordinating data collection and integration across and within research teams; establishing metadata standards, data dictionaries, file organization guidelines, and documentation practices; and supporting relational databases and data intake pipelines. The role executes data quality, validation, transformation, and quality assurance processes while implementing data management and sharing plans (DMSPs) to promote scientific reproducibility, data stewardship, interoperability, and responsible research data management.
Essential Duties:
- Integrate multi-domain, large-scale datasets from free-ranging nonhuman primates, including single-cell and bulk-tissue multi-omic data, immune phenotyping, social-network phenotypes, longitudinal physiological measures, survival, and reproductive outcomes
- Assist with the development and refinement of data intake pipelines to incorporate complex incoming datasets
- Administer, maintain, and assist in the continued development of PostgreSQL-based relational databases
- Connect laboratory information management systems (LIMS) and downstream sample tracking to the central biorepository database
- Perform data transformations, data wrangling, and SQL queries to bridge the gap between analytical tools and the database architecture
- Support the maintenance, operation, and administration of Application Programming Interfaces (APIs) in collaboration with other data managers and data scientists
- Collaborate on the development of the data discovery and data sharing portal, managing curated metadata releases and compiling relational database content for usability by the internal research group
- Serve as the primary point of contact for data sharing across project cores, sub-projects, and collaborative research team
- Implement rigorous data validation, auditing, standardization, and quality assurance procedures to maintain dataset integrity
- Monitor the operational health of supported data systems and participate in cross-functional technical meetings and project coordination activities
Desired Qualifications:
- Master’s degree plus three or more years of relevant professional experience OR a PhD in the following fields: computational biology, bioinformatics, genetics, genomics, evolutionary biology, quantitative biology, anthropology, aging biology, or a closely related quantitative life sciences or data discipline.
- Experience working in academic research environments on projects focused on evolutionary biology, genetics/genomics, biological aging, or organismal/primate biology.
- Practical experience with relational database management systems, schema building, maintenance, and querying, particularly using PostgreSQL or SQL.
- Experience integrating or connecting Laboratory Information Management Systems (LIMS), biorepository tracking, or sample inventories with central database infrastructure
- Strong, cross-functional communication skills to effectively translate needs between database engineers, principal investigators, and domain scientists.
- Experience assisting with automated data intake pipelines, scientific scripting, and working with Application Programming Interfaces (APIs)
- Demonstrated experience developing data validation, quality control/quality assurance (QC/QA) procedures, and metadata auditing for complex incoming datasets
Department Statement:
ASU Knowledge Enterprise advances research, innovation, strategic partnerships, entrepreneurship, and international development. Our success arises from solutions-focused, interdisciplinary research; an entrepreneurial approach that is embedded in every school and department; and a commitment to transform society in a positive way. To learn more about how Knowledge Enterprise is a place for your career to grow, visit the ASU website.
At Research Technology Office, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly, we encourage you to apply anyway. We value your unique background and perspective, and you may be just the right candidate for this position or other roles on our team.
Working at ASU has additional perks and outstanding benefits, which include health, dental, and vision insurance plans; life insurance and disability programs; sick leave and holidays; ASU/UA/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to ASU recreation and cultural activities; and more.
To estimate the value of your total compensation, please visit the ASU Compensation Estimator.
Instructions to Apply:
Current employees, student workers seeking staff opportunities, and students applying for student worker positions must apply directly through the Workday Jobs Hub. To be considered, your application must include all of the following attachments:
- Cover letter
- Resume or CV
Multiple documents may be uploaded in the attachments section. Alternatively, applicants may combine all required materials into a single PDF for submission. Please ensure uploaded documents are clearly labeled and include your name. Please ensure your resume includes all employment information in month and year format, for example 6/04 to 8/14, along with job title, job duties, and employer name for each position. Your resume should clearly demonstrate how your experience and background meet the minimum and desired qualifications for this position. Incomplete applications or missing required materials may not be considered.
Important:
Do not withdraw your application to make edits. Once an application is withdrawn, it cannot be edited, reactivated, or replaced with a new submission. If you have questions or need assistance, please contact The Office of Human Resources Talent Acquisition before the posting close date. Graduate Assistant, Intern and part-time positions are counted as half time for experience equivalency, meaning one year equals six months of experience. Only electronic applications will be accepted for this position. By submitting an application, you confirm that the information provided is accurate and complete.
ASU Statement:
Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 100,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions inclusive excellence, and welcomes students from all fifty states and more than one hundred nations across the globe. ASU is a tobacco-free university.
For details visit the ASU wellness page.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other basis protected by law.
Notice of Availability of the ASU Annual Security and Fire Safety Report:
In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources. ASU’s Annual Security and Fire Safety Report is available online. You may request a hard copy of the report
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Senior Level Research Data Manager Jobs: Frequently Asked Questions
How do I get a senior level research data manager job?
Employers hiring at the senior level look for demonstrated ownership of large-scale data management workflows, experience leading teams or mentoring junior staff, and a record of translating complex data requirements into operational systems. Proficiency with regulatory standards such as CDISC, GDPR, or FDA data guidelines strengthens candidacy significantly. Tailoring your application to show strategic impact, not just task execution, is what separates senior candidates from the field.
Which companies hire senior level research data managers?
Companies hiring senior level research data managers right now include Invesco, Coleridge, and TransUnion, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from large academic medical centers, pharmaceutical companies, contract research organizations, and government-funded research institutions that manage ongoing, complex data infrastructure.
Are there remote senior level research data manager jobs?
Yes, though availability varies by employer and study type. About 40% of senior level research data manager openings are remote or hybrid as of November 2026, reflecting the increasing adoption of cloud-based data platforms in research settings. Roles tied to clinical site coordination or on-site laboratory systems are more likely to require in-person presence.
What makes a research data manager role senior level?
Senior level research data manager roles are defined by ownership of end-to-end data strategy, not just execution of defined tasks. Responsibilities typically include designing data management plans, setting quality standards across studies, overseeing data governance compliance, and mentoring junior data managers. The scope extends to stakeholder communication with principal investigators, sponsors, or regulatory bodies, requiring both technical depth and organizational leadership.
Which industries hire the most senior level research data managers?
Senior Level research data manager roles concentrate in Education, Science & Research, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate under strict regulatory and data integrity requirements, making experienced professionals who can own compliance and lead data operations essential.