Data Scientist Bascom Palmer Eye Institute Miami, FL

Data Scientist 3 Full Time Bascom Palmer Eye Institute Miami, FL page is loaded## Data Scientist 3 Full Time Bascom Palmer Eye Institute Miami, FL locations:
Miami, FLtime type:
Full time posted on:
Posted Todayjob requisition :
R##
** Current Employees:
** If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click  to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this .The University of Miami, Bascom Palmer Eye Institute, has an exciting full time opportunity for a Data Scientist for the Department of Research in Miami, Florida.  

The Data Scientist 3 is a subject matter expert at using large data sets to find opportunities for product and process optimization, using models to test the effectiveness of different courses of action. In addition, uses a variety of data mining and analysis methods, using a range of data tools, building and implementing models, using and creating algorithms and creating and running simulations.

Moreover, the Data Scientist 3 provides recommendations to drive business results with data-based insights, and influences a wide range of stakeholders and functional teams.

** CORE JOB FUNCTIONS
*** Collaborates with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
* Leads the development of a state-of-the-art data portal for the storage, management and analysis of multidimensional and diverse datasets.
* Leads the development of pipelines and workflows for the integration of publicly available datasets with the developed infrastructure
* Performs active project management to develop the Data Portal and other tools, coordinating the timely implementation of user requirements, technical specifications and user feedback
* Leverages state-of-the-art big data and AI approaches and develops computational algorithms and workflows for the identification of novel targets and appropriate prioritization
* Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
* Leads the assessment of effectiveness and accuracy of new data sources and data gathering techniques.
* Develops custom data models and algorithms to apply to data sets.
* Uses predictive modeling to increase and optimize customer experiences, operational efficiencies, and other business outcomes.
* Leads different functional teams to implement models and monitor outcomes.
* Develops processes and tools to monitor and analyze model performance and data accuracy.
* Adheres to University and unit-level policies and procedures and safeguards University assets.

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
*
* Education:

Doctorate degree in relevant field required

Experience:

Minimum 7 years of relevant experience required    Certification and Licensing:  Refer to department description for applicable certification requirements

Knowledge, Skills and Abilities:

* 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.
** Department Specific Functions
**** Development and optimization of AI models for diagnosis**:
Lead the development, training, and deployment of advanced deep learning models for ocular disease diagnosis, improving accuracy and accessibility of clinical tools.

** Big data integration and processing**:
Coordinate the management, curation, and analysis of large-scale multimodal datasets (Optical Coherence Tomography/OCT, fundus, slit lamp), ensuring data quality and readiness for machine learning pipelines.

** Applied image enhancement for clinical utility**:
Implement and supervise advanced image processing and quality enhancement workflows to maximize diagnostic reliability and algorithm performance.

** Collaboration and team leadership**:
Coordinate cross-functional teams of fellows, researchers, healthcare professionals, and data scientists integrating artificial intelligence solutions into clinical and research settings while mentoring junior scientists.

** Innovation in computational methods**:
Apply and adapt big-data analysis techniques, large language models, and specialized machine learning models to identify novel diagnostic opportunities and improve workflow efficiency.

This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department.…