Manager, Data Science Informatics and Health Data Science

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The University of Miami/UHealth Department of Informatics and Health Data Science has an exciting opportunity for a full time Manager Data Science to work in Miami FL.

The Manager Data Science supports the Department Chair in managing and coordinating data science initiatives across the Department of Informatics and Health Data Science (DIHDS) and the Media and Innovation Laboratory (The MIL). The Manager applies advanced analytics artificial intelligence machine learning predictive modeling and related data-driven technologies to support the departments strategic priorities across Research Education Clinical Innovation Service/Outreach/Policy/Ethics and Venture.

A major departmental priority is the development and implementation of large-scale multidisciplinary research initiatives supported by the National Institutes of Health (NIH) the Advanced Research Projects Agency for Health (ARPA-H) and other federal foundation and industry sponsors. The Manager works closely with the Chair faculty investigators engineers technical teams and collaborators across the University of Miami to address the data architecture integration analytics modeling infrastructure and reporting requirements of complex multi investigator and multi-institutional projects.

The Manager also supports key departmental engineering and innovation initiatives including the continued development implementation evaluation and advancement of the MIL Agentic Data Scientist (MILADS) and other AI-enabled research collaboration with departmental leadership and internal and external partners the Manager contributes technical expertise to the development validation translation and potential commercialization of innovative products and technologies.

Core responsibilities:
Conducts initial assessments and data analyses to identify and quantify/qualify recommended opportunities for improvement.

Serves as a business change agent leading process re-engineering activities/project.

Manages the daily activities of the team responsible for identifying business trends and problems through big data analysis.

Oversees the interpretation of results using a variety of techniques ranging from simple data aggregation via statistical analysis to complex data mining.

Manages the design and implementation of big data solutions for the organization utilizing big data tools.

Applies and integrates statistical mathematical predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources.

Develops infrastructure systems that connect internal data sets.

Manages analysis of large quantities of data and presents insights and predictions to support management planning execution and monitoring of business decisions.

Manages team budget and project staffing assignments.

Establishes and continuously assesses the effectiveness of the internal controls within the unit and compliance with University policies and procedures.

Ensures employees are trained on controls within the function and on University policy and procedures.

Department Specific Functions:

Manages and coordinates the departments data science portfolio in alignment with the strategic priorities of DIHDS The MIL the Miller School of Medicine and the University of Miami.

Works closely with the Department Chair faculty investigators engineers and research teams to translate scientific operational and population-health questions into defined data science projects analytical plans technical requirements and measurable outcomes.

Supports the development of large-scale NIH ARPA-H and other externally sponsored proposals by contributing to study design data strategies preliminary analyses technical plans analytic workflows infrastructure requirements budgets and related application components.

Provides ongoing data science and analytical support for funded studies including data acquisition ingestion cleaning harmonization integration documentation analysis visualization and reporting.

Manages data science personnel analysts consultants and other technical contributors assigned to departmental research education engineering and innovation initiatives.

Coordinates the development and application of advanced analytical methods including statistical analysis predictive modeling machine learning classification time-series analysis causal inference feature engineering and model-performance evaluation.

Supports the design development implementation evaluation and continued advancement of MILADS and related artificial intelligence and agentic-AI tools that accelerate data ingestion analysis interpretation reporting and research translation.

Develops and maintains scalable and reproducible data science workflows analytical pipelines reusable code data dictionaries technical documentation dashboards visualization tools and reporting systems.

Establishes and maintains departmental practices for evaluating the accuracy reliability fairness reproducibility transparency interpretability privacy security and practical value of statistical models and AIenabled solutions.

Collaborates with University information technology data-governance cybersecurity privacy compliance and research-administration teams to ensure that departmental data science activities comply with institutional policies sponsor requirements and applicable regulations.

Provides data science support for research protocols progress reports manuscripts conference presentations technical reports demonstrations and other scholarly or professional products.

Supports the departments education and workforce-development activities by developing workshops guided working sessions technical resources and mentoring opportunities that strengthen data literacy computational skills and the responsible use of artificial intelligence.

Coordinates data science contributions to departmental programs such as MILADS NHLBI-funded PRIDE biomedical informatics digital health precision medicine and other research and educational initiatives.

Supports key engineering initiatives by coordinating data requirements analytical methods model development technical validation documentation and performance evaluation across multidisciplinary project teams.

Supports the departments Venture vertical by contributing data science expertise to the design development testing validation and translation of innovative products platforms prototypes and technologies.

Collaborates with University technology-transfer resources and external partners to support product commercialization intellectual-property development industry engagement and the transition of research innovations into scalable solutions.

Develops and maintains collaborations with academic units healthcare organizations technology companies community partners government agencies and other external stakeholders to expand access to data expertise technologies funding and translational opportunities.

Evaluates emerging data science machine-learning generative-AI and agentic-AI technologies and recommends appropriate tools platforms methodologies and investments for departmental consideration.

Establishes performance indicators and evaluation frameworks to measure the utilization effectiveness scientific contribution operational value scalability and impact of departmental data science initiatives.

Performs other duties consistent with the scope responsibilities qualifications and strategic priorities of the position.

This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.

Core Qualifications:
Bachelors degree in relevant field required.

Minimum 3 years of relevant experience required.

Operational Management: Optimizes day-to-day operations and processes for efficiency and effectiveness.

Organizational Development: Ability to implement strategies to improve organizational effectiveness engagement and manage change.

Financial Oversight: Knowledge of financial operations and management.

Team Leadership: Ability to create and maintain a cohesive and productive team environment build positive working relationships and work collaboratively with others.

Technical Proficiency: Skilled in using office software technology and relevant computer applications.

Communication: Strong verbal and written communication skills to convey ideas clearly and persuasively.

Any relevant education certifications and/or work experience may be considered.

The University of Miami offers competitive salaries and a comprehensive benefits package including medical dental tuition remission and more.

UHealth-University of Miami Health System South Floridas only university-based health system provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center we are proud to serve South Florida Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching research and patient care. Were the challenge youve been looking for.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

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