UHealth IT Data Scientist (H)
at University of Miami
Current Employees:If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the i
Job Overview
Published
Sep 14, 2026
Expires
Dec 13, 2026
Source
University of Miami
Region
IT
Type
Remote / Work From Home
Category
WFH
Experience
3 years
Seniority
Staff
Job Description
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami , please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
The University of Miami Health System (“UHealth”) Information Technology & Systems Department has an exciting opportunity for a full-time UHealth IT Data Scientist.
The UHealth IT Data Scientist provides expertise in data science methodologies, including predictive modeling and machine learning. This incumbent is this position designs and implements advanced analytics solutions while collaborating with various stakeholders across the University of Miami enterprise. The UHealth IT Data Scientist works to define problem statements, develops hypotheses, and builds analytical models that inform business decisions and outcomes. This role requires both independent initiative and collaboration with cross-functional teams to enhance data-driven strategies.
Core Responsibilities
Develops and implements advanced analytical solutions, including predictive and prescriptive models, to support clinical, operational, financial, and technical decision-making.
Collaborates with stakeholders to translate complex data insights into actionable recommendations, ensuring alignment with organizational goals.
Engages in the machine learning development lifecycle, including data acquisition, model development, training, and deployment, ensuring robust and scalable solutions.
Works with external machine learning models, assisting stakeholders in understanding and applying model outputs to real-world scenarios.
Communicates technical concepts and analytical results to non-technical audiences, enhancing the accessibility and impact of data-driven insights.
Participates in cross-functional teams to integrate data science methodologies into workflows and technical products.
Contributes to the development and maintenance of documentation for data extraction, handling, and analysis, ensuring the integrity and quality of data products.
Continuously expands knowledge of healthcare analytics and data science best practices, incorporating new techniques and tools into daily work.
Supports the preparation and maintenance of data products, such as dashboards and interactive reports, collaborating with data engineering teams for deployment.
Engages with the broader enterprise community to promote the use of data science and participate in educational initiatives.
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
Collaborate with academic and medical partners to design, develop, and deploy LLM‑based chatbots and agents that support research‑driven interventions and enhance patient experience.
Develop, implement, and maintain the SCAN360 website, data assets, and web applications.
Co-author presentations and articles on cancer epidemiology and related topics, with academic partners.
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.
MINIMUM QUALIFICATIONS
Master’s degree in relevant field
Certification in relevant specialty or field
Minimum 3 years of relevant experience
Skill in completing assignments accurately and with attention to detail.
Ability to analyze, organize and prioritize work under pressure while meeting deadlines.
Ability to process and handle confidential information with discretion
Skill in collecting, organizing and analyzing data.
Ability to recognize, analyze, and solve a variety of problems.
Ability to exercise sound judgment in making critical decisions.
Any appropriate combination of relevant education, experience and/or certifications 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 Florida's 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. We're the challenge you've 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.
Full time Employee Type
Staff Originally posted on Himalayas
Remote Work Guidelines & Career Insights
Practical advice for succeeding as a remote professional in this role.
Asynchronous Productivity
High-performing remote teams prioritize asynchronous communication. Document your progress clearly in tickets, maintain organized project repositories, and communicate status updates proactively without waiting for real-time meetings.
Home Office & Security
Ensure a private, quiet workstation with a reliable high-speed broadband connection (min 50 Mbps). Maintain compliance with employer cybersecurity policies by utilizing secure password managers, 2FA authentication, and authorized VPN services.
Resume & Application Tips
Tailor your CV specifically to the requirements of UHealth IT Data Scientist (H). Highlight quantifiable achievements from past roles (e.g. revenue growth, efficiency improvements, or software shipped) and showcase proven experience collaborating with remote teams.
Virtual Interview Prep
Test your video and audio hardware before virtual calls. Prepare concise STAR-format stories demonstrating how you manage time independently, handle conflicting priorities across different time zones, and solve complex problems autonomously.
Frequently Asked Questions
Key answers about the application process, remote setup, and compensation for UHealth IT Data Scientist (H).
Is the UHealth IT Data Scientist (H) role 100% remote?+
Yes, this is a fully remote work-from-home position with University of Miami. You can collaborate asynchronously, manage project deliverables, and participate in virtual team meetings from your home office without daily commuting.
What qualifications and experience are needed for UHealth IT Data Scientist (H)?+
Applicants are typically evaluated on 3 years. Key requirements include strong English communication skills, independent problem-solving abilities, and familiarity with modern remote collaboration platforms like Slack, Zoom, and project management tools.
Who is eligible to apply for this job?+
This remote opening welcomes applications from IT and eligible remote regions. Candidates must ensure they meet the work authorization, residency, or independent contractor criteria required by University of Miami.
What is the salary and benefits package for UHealth IT Data Scientist (H)?+
The expected compensation for this role is competitive compensation aligned with global remote market standards. In addition to base compensation, remote positions often provide flexible working hours, home office equipment stipends, and professional growth opportunities.
How do I apply and what should I prepare for the interview?+
Click the "Apply Now" button on this page to visit University of Miami's official application portal. Tailor your resume to highlight relevant achievements, and prepare to discuss your experience working productively in an asynchronous remote environment.
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