Scheduled Hours

37.5

Position Summary

The data management and sharing specialist (DMSS), reporting to the head of data services in the University Libraries, is a shared position between the Libraries and Digital Intelligence & Innovation Accelerator (DI2). The DMSS will be responsible for guiding research data sharing efforts at WashU, including collaboration and coordination with research data sharing stakeholders across campus, user outreach and consultation, oversight of data management planning services, repository management support and development, and curation and management of research datasets and tools that support resource sharing.

Job Description

Primary Duties & Responsibilities:

• Researches Data Sharing services, coordinates research data sharing efforts between stakeholders and service providers on campus (e.g., Becker Medical Library, OVCR, etc.). Provides consultations to users on data sharing and curate research datasets. Coordinates and manages guidance in the DMPtool, reviews data management plans, and provides outreach and instruction to campus on data management planning and data management best practices.
• Contributes to the management and development of WURD by evaluating and improving workflows, researching ways to improve access to data collections.
• Coordinates the development and management of research resource sharing tools, management of data collection in cooperation with services providers, and management of data and access tools.
• Trains and stays informed on new and emerging technologies, methodologies and implementation strategies relating to research data. Recommends and communicates new solutions in a professional manner to faculty and staff.
• Performs other duties as assigned.

Working Conditions:
Job Location/Working Conditions

• Normal office environment

Physical Effort

• Typically working at desk or table
• Repetitive wrist, hand or finger movement

Equipment

• Office equipment

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Bachelor's degree

Certifications:

No specific certification is required for this position.

Work Experience:

Relevant Experience (2 Years)

Skills:

Big Data Management, Data Sharing, Generative AI, Large Language Models (LLMs), Machine Learning

Driver's License:

A driver's license is not required for this position.

More About This Job

Preferred Qualifications

• Three years of experience with data management, sharing and curation, including technical aspects.
• Demonstrated knowledge of the CURATE(D) method for dataset review.

Preferred Qualifications

Education:

Master's degree - Information Science/ Computer Technology

Certifications:

No additional certification beyond what is stated in the Required Qualifications section.

Work Experience:

No additional work experience beyond what is stated in the Required Qualifications section.

Skills:

Apple Applications, Communication, Data Collection Methods, Deadline Management, JavaScript, Learning New Technologies, Linux, Mac OS X Development, NoSQL, Professional Services Delivery, Project Organization, Python (Programming Language), Relational Database Management, R Programming, Structured Query Language (SQL), Teamwork, Training Presentations, VM (Operating System), Windows Applications, XML User Interface Language (XUL)

Grade

G13

Salary Range

$65,900.00 - $112,700.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Questions

For frequently asked questions about the application process, please refer to our