Research Data Manager

Job title: Research Data Manager

Job Profile:

IT Data Infrastructure Analyst 4

Job Family:

IT Data Infrastructure

Time Type:

Full time

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 Profile Summary: Owns complex issues and transforms them into scalable solutions and work products; plans and leads the design, building and maintenance of platforms and enterprise solutions across IT systems.

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

Working Environment:

• Climate-controlled office setting, subject to extended periods of being in a stationary position.
• Regular use of standard office equipment, including but not limited to computer workstation/laptop (keyboard, monitor, mouse), printer, fax, calculator, copier, telephone, and associated computer/technology peripherals.
• Prepare written correspondence and reports.
• Move items weighing up to 20 pounds.

Department Statement:

Each year since 2016, ASU has been named the most innovative school in the nation, recognizing the university's culture of groundbreaking research and partnerships, as well as its commitment to helping students thrive in college and beyond. U.S. News and World Report has named ASU as the most innovative university all twelve years the category has existed.

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

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

Driving Requirement:

Driving is not required for this position.

Location

Campus: Tempe

Funding:

Grant Funded

Relocation Assistance – For information about schools, housing child resources, neighborhoods, hospitals, community events, and taxes, visit

ASU’s comprehensive benefits package is a key part of your total compensation. Visit the ASU Compensation Estimator

Employment Verification Statement:

ASU conducts pre-employment screening which may include verification of work history, academic credentials, licenses, and certifications.

Background Check Statement:

ASU conducts pre-employment screening for all positions which includes a criminal background check, verification of work history, academic credentials, licenses, and certifications. Employment is contingent upon successful passing of the background check.

Fingerprint Check Statement:

This position is considered safety/security sensitive and will include a fingerprint check. Employment is contingent upon successful passing of the fingerprint check.