Qureos Mentor

Vanderbilt University

<div>About the Work Unit :
 
Our research mission is to transform the discipline of nursing through research, practice and partnerships and to contribute to the social advancement and health of Tennessee, the nation, and the world. Vanderbilt School of Nursing (VUSN) supports the development of innovative research programs within VUSN that align strategically with other Vanderbilt University initiatives and that address national priorities to promote and protect health. The Center for Research Development and Scholarship supports many activities related to pre-award and post-award, federal and non-federal grant submission and other scholarship activities.
Key Functions and Expected Performance :
Study Operations and Execution
<ul><li>Independently develop and implement comprehensive operational plans to execute complex clinical research protocols.
</li><li>Design and optimize site-specific workflows to ensure efficiency, protocol fidelity, and timely study completion.
</li><li>Conduct protocol-required procedures, including cognitive and functional assessments, and participant visits.
</li><li>Lead recruitment and retention efforts using data-informed strategies to achieve enrollment targets.
</li>Identify and resolve operational challenges proactively while coordinating multidisciplinary teams and study stakeholders. 
<li>
</li></ul>Regulatory Compliance, Safety and Data Integrity
<ul><li>Ensures full compliance with funding sources, HIPAA, IRB, and institutional requirements.
</li><li>Prepare and manage IRB submissions, amendments, continuing reviews, and reportable events.
</li><li>Implement safety monitoring processes, including timely identification and reporting of adverse events.
</li><li>Maintain audit-ready regulatory documentation and oversee sponsor monitoring visits.
</li>Manage secure data systems (e.g., REDCap), including database development, access controls and quality assurance reviews. 
<li>
</li></ul>Research Development, Education and Scholarly Contribution
<ul><li>Contribute to grant submissions through feasibility assessments, recruitment planning, regulatory strategy, and data management planning.
</li><li>Participate in the development of abstracts, presentations, and scholarly dissemination materials.
</li><li>Develop instructional and training materials using adult learning principles and instructional design frameworks.
</li><li>Deliver educational presentations to research participants, community partners, and internal stakeholders.
</li>Maintain subject-matter expertise through continuing education and provide informal mentorship to junior research staff. 
<li>
</li></ul>Education, Certifications and License :
<ul><li>Bachelor's degree required
</li><li>Master's degree preferred in related field 
</li></ul>Experience and Skills :
<ul><li>Minimum 5 years of experience in a research setting is required.
</li><li>Experience managing the coordination of complex schedules is necessary .
</li><li>Experience with research informed consent/assent processes is preferred .</li></ul></div>

Senior Clinical Research Specialist

<div>Position Summary:
The Education Design and Informatics (EDI) team within the Office of Health Sciences Education at
 
Vanderbilt University School of Medicine (VUSM) is seeking an experienced Analytics Engineer with
 
an inquisitive and analytical mindset to join our team.
The Analytics Engineer designs and maintains curated datasets and data models that support
 
educational analytics, dashboards, and AI-enabled learning tools and predictive analytics across
 
VUSM. The role involves building reproducible, version-controlled data transformation workflows
 
that convert raw educational data into analysis-ready structures while ensuring data quality,
 
governance, and transparency. A key responsibility is creating and maintaining Power BI dashboards
 
and visualizations for educational leaders, administrators, and faculty that align with
 
institutional competency frameworks and strategic goals. The Analytics Engineer collaborates with
 
AI engineers, software developers, and cross-institutional stakeholders to enable predictive
 
modeling, experimentation datasets, and learner-facing insights embedded in digital learning
 
workflows. This position contributes to Vanderbilt&rsquo;s broader precision education and AI-enabled
 
learning strategy by translating educational questions into measurable data indicators and staying
 
current with evolving data governance and analytics practices.
This role offers opportunities to contribute to nationally recognized research in precision
 
education and to develop expertise at the intersection of data engineering, artificial
 
intelligence, and medical education within one of the nation&rsquo;s leading academic medical centers.
This position reports administratively and functionally to the Director of Education Design and
 
Informatics.
About the Work Unit:
The Office of Health Sciences Education (OHSE) administers the degree programs of the Vanderbilt
 
University School of Medicine (VUSM) and supports its mission to catalyze impactful discovery,
 
servant leadership, and lifelong learning. OHSE staff provide comprehensive support across academic
 
program administration, educational design and informatics, student services, and financial and
 
operational oversight.
In alignment with VUSM&rsquo;s commitment to excellence, OHSE works to prepare future leaders in the
 
health professions who are equipped with the knowledge, skills, and judgment needed to deliver
 
safe, effective, ethical, and patient-centered care. Our students are encouraged to think
 
critically, foster innovation, and understand the broader systems and social factors that shape
 
health outcomes&mdash;empowering them to advocate for positive change in both local and global
 
communities.
The Education Design and Informatics (EDI) team serves as the technology, data, and analytics arm
 
of OHSE, building and maintaining the digital infrastructure, learning platforms, dashboards, and
 
AI-enabled tools that support the educational mission. The Analytics Engineer joins a
 
multidisciplinary EDI team that includes software developers, instructional designers, an applied
 
AI engineer, and data specialists. Vanderbilt&rsquo;s institutional strengths &mdash; including a top-tier
 
health system, deep research infrastructure, enterprise Databricks and Epic EHR environments, and a
 
strong commitment to innovation in medical education &mdash; provide a uniquely rich
 
foundation for this work. 
<div> 
Key Functions and Expected Performance:
<ul><li>Update and optimize VUSM&rsquo;s cloud-based data architecture to support ongoing scalability, efficiency, and security standards
</li><li>Build and maintain processes that support data transformation, workload management, data
</li></ul>structures, dependency and metadata
<ul><li>Support monitoring and alerting processes to ensure uptime of infrastructure
</li><li>Identify, design, and implement internal process improvements such as automating manual
</li></ul>processes and optimizing data delivery
<ul><li>Manage and communicate data visualization plans to internal team and stakeholders
</li><li>Collaborate with Development team on architectural decisions
</li><li>Perform data analysis required to troubleshoot data related issues and assist in the
</li></ul>resolution of data issues.
<ul><li>Design and maintain curated datasets that support educational analytics, dashboards, and AI
</li></ul>feature development
<ul><li>Develop and improve canonical tables and views representing learners, competencies, curricular
</li></ul>experiences, assessments, progression metrics, and other medical education concepts
<ul><li>Align data models with standard medical education frameworks and ontologies (e.g., AAMC
</li></ul>competency frameworks, EPA/milestone mappings) to ensure interoperability and
 
domain relevance
<ul><li>Maintain comprehensive documentation of key data views and catalog table definitions within
</li></ul>Databricks to ensure data transparency, governance, and accessibility across teams.
<ul><li>Build transformation workflows that convert raw data into analysis-ready structures
</li><li>Implement version-controlled data transformations using tools such as dbt, SQL-based pipelines
</li></ul>and Databricks workflows
<ul><li>Ensure datasets are reproducible, documented, and auditable
</li><li>Monitor data quality, completeness, and consistency across sources
</li><li>Build and maintain Power BI dashboards and reporting views used by educational leadership,
</li></ul>program administrators, and faculty
<ul><li>Collaborate with stakeholders to understand analytic needs and to define meaningful
</li></ul>visualizations and metrics
<ul><li>Ensure that dashboards align with institutional competency frameworks and educational goals
</li><li>Iteratively refine dashboards and reporting views based on end-user feedback, evolving
</li></ul>programmatic needs, and emerging data sources
<ul><li>Work with the Applied AI Engineer to create feature-ready datasets supporting predictive
</li></ul>models and AI applications
<ul><li>Collaborate with stakeholders in VUIT, VUSM, and VUMC IT to facilitate secure cross-
</li></ul>institutional exchange of educational datasets
<ul><li>Collaborate with software developers to expose analytics datasets to VSTAR and related
</li></ul>applications
<ul><li>Support development of learner-facing insights and faculty analytics embedded in digital
</li></ul>learning workflows
<ul><li>Design and implement intervention signals and early warning indicators to support timely
</li></ul>learner support
<ul><li>Help design experimentation datasets for evaluating educational interventions and AI tools
</li><li>Contribute to evaluation frameworks that assess the effectiveness and impact of AI- enabled
</li></ul>educational tools and interventions
<ul><li>Translate educational questions into data models and measurable indicators
</li><li>Contribute to Vanderbilt&rsquo;s broader strategy for precision education, learning analytics, and
</li></ul>AI-enabled education
<ul><li>Maintain clear documentation of data models, transformations, and metrics
</li><li>Stay current with evolving approaches to educational analytics, data modeling, and data
</li></ul>governance
<ul><li>Support grant-related activities including preparation of pilot data, data architecture
</li></ul>documentation for proposals, and reporting on funded projects 
</div> 
Supervisory Relationships:
<div>This position does not have supervisory responsibility and reports administratively and
 
functionally to the Associate Director, Education Design and Informatics 
 
 
 
Education and Certifications:
<ul><li>Bachelor&rsquo;s degree or above in Computer Science, Data Science, Informatics, Information
</li></ul>Systems, Health Informatics, or related technical field OR a comparable combination of on-the-job
 
experience and technical training is necessary.
</div><div>Experience and Skills:
<ul><li>5 years of experience with data engineering, analytical data modeling, data transformations,
</li></ul>or analytics engineering is necessary.
<ul><li>5 years of experience working in education, healthcare, or another complex regulated
</li></ul>environment is preferred.
<ul><li>5 years of experience with Python, including object-oriented programming, is highly preferred.
</li><li>Advanced SQL skills and experience designing complex queries and transformations is highly
</li></ul>preferred
<ul><li>Demonstrated skills with NoSQL databases (e.g., for unstructured assessment data or document
</li></ul>stores) is preferred
<ul><li>Demonstrated experience working with cloud-based data platforms or modern data warehouses
</li></ul>(Azure, AWS, GCP, Databricks, Snowflake) is highly preferred
<ul><li>Excellent oral and written communication skills with a keen sense of stakeholder engagement is
</li></ul>highly preferred
<ul><li>Ability to translate stakeholder questions into structured datasets and metrics is highly
</li></ul>preferred
<ul><li>Experience supporting and working with cross-functional teams in a dynamic, collaborative
</li></ul>environment is highly preferred
<ul><li>Demonstrated ability to work with non-technical domain experts and navigate complex
</li></ul>organizational structures is preferred
<ul><li>Experience supporting machine learning or feature engineering workflows is highly preferred
</li><li>Experience with designing data models for dashboards and reporting through dimensional
</li></ul>modeling techniques is highly preferred
<ul><li>Experience building or supporting dashboards in tools such as Power BI, Tableau, or similar
</li></ul>platforms is preferred
<ul><li>Experience with continuous integration/continuous delivery automation and version control
</li></ul>(Git) in Bitbucket, GitLab, GitHub, or Azure DevOps is preferred
<ul><li>Experience with REST data services, APIs, and microservices is preferred
</li><li>Experience working with regulated or sensitive datasets (FERPA, HIPAA-adjacent environments)
</li></ul>is preferred
<ul><li>Familiarity with competency-based education or learner progression frameworks is preferred
</li><li>Familiarity with ethical considerations in educational data use, algorithmic fairness, or
</li></ul>responsible AI practices is preferred</div></div>

Senior Analytics Engineer

Join Vanderbilt University and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Vanderbilt University

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Senior Clinical Research Specialist

Senior Analytics Engineer