University of Miami · 4 hours ago
Data Analyst 1
Miami, FL
Full-time
Onsite
Entry Level
1+ years expThe University of Miami is seeking a full-time Data Analyst 1 to support the Center for Translational Sleep and Circadian Science and The Media Innovation Lab’s research mission. The role involves managing and analyzing large-scale national datasets, applying advanced statistical and machine learning techniques, and developing scalable research applications while ensuring data integrity.
Higher Education
Responsibilities
Performs basic data analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining
Researches best practices and supports developing the solutions and recommendations for the current business operations
Generates reports and analyzes data for internal planning processes and reporting purposes
Maintains databases and dashboards to support the department’s planning needs, goals, and objectives
Provides basic business data interpretation, such as identifying trends or patterns of data sets
Analyzes information in reports to support the department's planning, needs, goals, and objectives
Analyzes data to ensure accuracy and reports any issues to management
Adheres to University and unit-level policies and procedures and safeguards University assets
Oversees data entry and verification, ensures adherence to data entry protocols
Creates the databases related to recruitment, enrollment, and medical data
Designs a system to perform periodic checks to ensure that procedures are followed for data entry and coding and a computerized behavioral checklist to monitor contact between participants and study staff
Works directly with the Primary Investigators to perform all pre-planned statistical analyses
Conducts data acquisition, management, and statistical analysis for large-scale national datasets (e.g., All of Us Research Program, NHANES, CMS claims data) to support departmental research initiatives
Supports NIH- and federally-funded project teams by preparing analytic datasets, ensuring compliance with data use agreements (DUAs), IRB protocols, and NIH data sharing policies
Applies machine learning techniques (e.g., supervised and unsupervised learning, natural language processing) to health and clinical data, supporting predictive analytics and precision medicine initiatives
Develops algorithms and advanced data structures to optimize data processing workflows, particularly for large-volume, high-dimensional healthcare datasets
Utilizes object-oriented programming (e.g., Python, Java) to develop modular, scalable research codebases for clinical informatics projects
Designs and maintains relational and non-relational databases (e.g., PostgreSQL, MongoDB) to store and manage complex biomedical and clinical datasets
Leads the transformation of a Python-based desktop research application into a web-accessible tool using ReactJS, HTML, and CSS, enhancing usability and accessibility for external collaborators
Leverages GitHub for version control, continuous integration/continuous deployment (CI/CD) workflows, and collaborative project management with internal and external research stakeholders
Creates data visualizations, AI model performance dashboards, and analytic flowcharts to communicate sensitivity, specificity, and ROC-AUC metrics across diverse demographic subgroups (e.g., skin tones, gender, age groups)
Performs technical evaluation of AI/ML architectures (e.g., DeepDerm, HAM10000) including training protocols, data preprocessing methods, and domain adaptation strategies (GroupDRO, CORAL, CDANN), benchmarking model performance against human experts
Manages study data under the PI’s supervision and creates computerized data collection forms to ensure integrity and accuracy of data entry
Qualification
Required
Bachelor's Degree in Software Engineering and/or Computer Science
Minimum 1 year of relevant experience required
Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands
Teamwork: Ability to work collaboratively with others and contribute to a team environment
Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders
Ability to clearly communicate research findings through oral presentation and written publication
Ability to work independently and in a collaborative manner with a diverse group of scientists and clinicians
Experience with AI model development
Familiarity with applying AI methods to improve health equity or assessing the impact of AI on health equity
Strong programming skills in R, Python, Bayesian machine learning, etc
Experience using computing clusters (batch processing), cloud computing services, and containerization
Strong skills in computer science
Experience in Artificial Intelligence (Deep learning, Transfer learning, Neural networks)
Benefits
Medical
Dental
Tuition remission
And more
Company
University of Miami
At UM you'll join a diverse and energized academic community.
5001-10000 employees
H1B Sponsorship
University of Miami has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (208)
2024 (151)
2023 (149)
2022 (121)
2021 (95)
2020 (114)
Funding
Current Stage
Late StageLeadership Team
Albertie Regalado
'Canes Science Bowl — Co-Founder and Co-President
Mark McPheron, FALU, CLU, FLMI
Co-Founder and Past President, and current member, University of Miami Cincinnati 'Canes Community
Recent News
Seattle TechFlash
2023-11-22
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