Research Data Systems Analyst

Research Data Systems Analyst

Required Qualifications (as evidenced by an attached resume):
Bachelor's degree (foreign equivalent or higher). Four (4) years of full-time experience in clinical research informatics or information technology. Experience working in a hospital, medical center, or research setting. Experience with data collection and analysis. Experience working in consulting, training, and/or supporting end-users.

Preferred Qualifications:
Five (5) years of full-time experience in clinical research informatics or information technology (or an equivalent combination of education, training, and experience). Experience in REDCap or OnCore. Experience with MySQL or other RDBMS. Experience in data modeling, data architecture, data integration technologies, and/or complex data environments. Experience in JavaScript, Python, PHP, or another modern scripting language.

Brief Description of Duties:
The Research Data Systems Analyst leads efforts to provide technical and information systems-related development and support services to research teams and other initiatives as part of Stony Brook University's Clinical and Translational Science Center (CTSC). Working with diverse, multidisciplinary teams, the incumbent will utilize information architecture and software development best practices to document, analyze, and translate research workflow needs into various technical designs and informatics solutions. These activities will assist in driving the CTSC’s core mission of accelerating clinical research discoveries and their application to patient care, “from bench to bedside.” The incumbent will apply biomedical informatics (BMI) technical standards, methodologies, and principles in such areas as data capture, data integration, and data analytics and visualization to advance program needs, objectives, and outcomes. Solutions may include but are not limited to building complex data capture workflows, designing data monitoring dashboards, and implementing interoperability interfaces, both within and outside of existing development platforms. This position involves interfacing with multiple levels of the Stony Brook University Enterprise, including faculty, research support staff, and senior leaders, and will work within the Research Computing, Informatics, & Innovation team under the Chief Research Information Officer.

Duties:

• Work closely with diverse stakeholders (including clinicians, investigators, leadership, and research support staff) to define requirements and devise database technology solutions that meet client needs, follow best practices, and comply with institutional policies and regulations.
• Exercise technical leadership to plan and carry out successful development projects, adhering to coding standards and validation practices to ensure high-quality solutions.
• Utilize technical and problem-solving skill sets to troubleshoot database design issues and coordinate enhancements, both individually and in collaboration with other team members.
• Automate repetitive tasks to achieve operational efficiency through the use of scripting, routines, stored procedures, etc. Build automated workflows to support the extract-transform-load (ETL), cleaning, and validation of data as needed.
• Work with counterparts at surveillance sites to coordinate continuous data quality processes, provide access to the central data repositories, troubleshoot data quality issues, and develop visualization and dashboards for meeting operational and site performance monitoring requirements.
• Collaborate with team members on database modeling and other technical functions to support and advance the objectives of the CTSC.
• Collaborate with team members to create and maintain documentation, including changelogs, technical specifications, and SOPs.
• Provide consultation, training, and support to users of clinical research information systems as needed.
• Assist in the administration of clinical research information systems to ensure stability, security, and performance.
• Identify workflow and technical issues for process improvement and change management. Scope out new technologies as needed, perform proof of concept testing, and make recommendations to the team.
• Maintain list of open queries and communicate list to group in weekly meetings. Contribute to presentations for both internal and external audiences. May provide oversight, mentorship, and cross-training to other analysts on the team.
• Non-essential: Stay informed about new technologies, practices, and industry trends through community lists, publications, and conferences.
• Other duties as assigned.

Special Notes:
The Research Foundation of SUNY is a private educational corporation. Employment is subject to the Research Foundation policies and procedures, sponsor guidelines and the availability of funding. FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption.

For this position, we are unable to sponsor candidates for work visas.

Resume/CV and cover letter should be included with the online application.

Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws.

If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA.

In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed here.

Visit our WHY WORK HERE page to learn about the total rewards we offer.

SUNY Research Foundation: A Great Place to Work.

The starting salary range (or hiring range) to be offered for this position is noted below, it represents SBU’s good faith and reasonable estimate of the range of possible compensation at the time of posting.