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Python Healthcare Jobs in Florida (NOW HIRING)

Pinnacle Home Care

Senior Data Analyst

Oldsmar, FL · On-site

$78K - $99K/yr

Join us in our mission of delivering compassionate healthcare where it matters most -- at home ... Use Python to automate data processing, reconciliation, validation, reporting, and other repetitive ...

Pinnacle Home Care

Junior Data Analyst

Oldsmar, FL · On-site

Join us in our mission of delivering compassionate healthcare where it matters most -- at home ... Use Python to automate reporting, data validation, file processing, and repetitive tasks. * Build ...

Inizio Partners

Software Engineer

Daytona Beach, FL · On-site

$60K - $100K/yr

We help healthcare teams spend less time on paperwork and more time caring for patients. Our ... Develop backend services using Node.js, TypeScript, playwright, and Python. * Integrate EHR ...

Inizio Partners

Software Engineer

Daytona Beach, FL · On-site

$60K - $100K/yr

We help healthcare teams spend less time on paperwork and more time caring for patients. Our ... Develop backend services using Node.js, TypeScript, playwright, and Python. * Integrate EHR ...

Inizio Partners

Software Engineer

Daytona Beach, FL · On-site

$60K - $100K/hr

We help healthcare teams spend less time on paperwork and more time caring for patients. Our ... Develop backend services using Node.js, TypeScript, playwright, and Python. * Integrate EHR ...

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Showing results 21-40

All JobsPython Healthcare JobsPython Healthcare Jobs in Florida

Python Healthcare information

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$9

$43

$64

How much do python healthcare jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python healthcare in Florida is $43.81, according to ZipRecruiter salary data. Most workers in this role earn between $36.11 and $49.76 per hour, depending on experience, location, and employer.

What is a Python Healthcare job?

A Python Healthcare job involves using Python programming to develop software solutions in the healthcare industry. This can include data analysis, automation, electronic health record (EHR) management, medical imaging, and AI-driven diagnostics. Professionals in this field work with healthcare data, ensuring compliance with regulations like HIPAA while improving efficiency and patient outcomes. They may collaborate with data scientists, medical professionals, and IT teams to create innovative healthcare tools and applications.

What types of projects or tasks can I expect to work on in a Python Healthcare role?

As a Python Healthcare professional, you may work on projects such as developing data pipelines to handle electronic health records, creating algorithms to analyze patient data, building machine learning models for clinical predictions, or implementing interoperable healthcare applications. You'll often be part of interdisciplinary teams, collaborating with data scientists, clinicians, and IT specialists to translate healthcare needs into effective technical solutions. On a typical day, you might clean and preprocess large datasets, write and optimize Python scripts, and troubleshoot software integration issues. Gaining hands-on experience with healthcare datasets and championing data privacy are also key aspects of the role, making it both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Python Healthcare position, and why are they important?

To thrive in a Python Healthcare role, you need strong programming skills in Python, knowledge of healthcare data standards (like HL7 or FHIR), and experience with data analysis or machine learning, often supported by a degree in computer science, health informatics, or a related field. Familiarity with databases, cloud platforms, and healthcare information systems, as well as certifications in health IT or analytics, are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with clinical and technical teams. These skills are crucial for developing reliable solutions that improve patient outcomes and streamline healthcare operations.

How is Python used in healthcare?

Python healthcare professionals use the language for data analysis, developing healthcare applications, and automating tasks such as processing medical records and imaging data. Its extensive libraries like Pandas, NumPy, and TensorFlow support machine learning, data visualization, and AI-driven diagnostics in medical environments.

What are popular job titles related to Python Healthcare jobs in Florida?

For Python Healthcare jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Python Healthcare jobs in Florida look for?

The top searched job categories for Python Healthcare jobs in Florida are:

Python Healthcare jobs near you
Infographic showing various Python Healthcare job openings in Florida as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 79% In-person, 4% Hybrid, and 17% Remote job distribution, with an average salary of $91,119 per year, or $43.8 per hour.

Forward Deployed Engineer Agentic AI - On site/hybrid

Talent Search PRO

Daytona Beach, FL • On-site

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Forward Deployed Engineer – Agentic AI


Salary: $200,000 – $250,000 + Bonus

Why This Role?
  • Work on enterprise-scale GenAI and Agentic AI initiatives
  • Exposure to Fortune 2000 AI transformation programs
  • High visibility with executive stakeholders and enterprise clients
  • Strong compensation package with bonus eligibility
  • Medical, dental, vision, 401(k) match, paid parental leave, PTO, and disability coverage
About the Role

Seeking a Forward Deployed Engineer to help enterprise clients design, prototype, and scale GenAI and Agentic AI solutions. This role sits at the intersection of engineering, solution architecture, and executive-facing consulting.

You will work directly with senior business leaders and technical teams to rapidly build proof-of-value solutions, architect scalable AI systems, and accelerate enterprise AI adoption across complex environments.

This is a highly hands-on role focused on shipping real AI systems, not presentations.

Responsibilities
  • Partner with enterprise stakeholders to identify AI opportunities and define measurable business outcomes
  • Build rapid proof-of-value and MVP AI solutions using modern GenAI and agentic frameworks
  • Design scalable AI architectures including orchestration, governance, observability, and security controls
  • Develop AI workflows with tool integrations, enterprise data connectivity, and lightweight user experiences
  • Implement RAG architectures, vector search, retrieval strategies, and evaluation frameworks
  • Integrate AI solutions with enterprise platforms including AWS, Azure, GCP, Salesforce, SAP, ServiceNow, and Microsoft ecosystems
  • Support technical discovery sessions, workshops, demos, and executive presentations
  • Create reusable AI accelerators, templates, evaluation suites, and reference architectures
  • Collaborate with engineering, cloud, product, and delivery teams to transition solutions into production environments
Requirements
  • 8+ years of experience in software engineering, AI engineering, solution architecture, or technical consulting
  • Strong experience building enterprise GenAI or Agentic AI solutions
  • Experience with LLM orchestration, tool-calling, planning workflows, and human-in-the-loop systems
  • Hands-on experience with RAG pipelines, vector databases, embeddings, and retrieval evaluation
  • Strong full-stack engineering fundamentals including APIs, integrations, distributed systems, and cloud-native architectures
  • Proficiency in Python and at least one additional language such as TypeScript, Java, or Go
  • Experience with AWS, Azure, or GCP environments
  • Familiarity with CI/CD, containers, observability, and AI governance concepts
  • Strong communication skills with the ability to engage executive stakeholders
  • Bachelor’s degree required
Preferred Background
  • Experience deploying production-grade GenAI systems
  • Consulting or client-facing engineering experience preferred
  • Exposure to AI governance, AgentOps, telemetry, and compliance frameworks
  • Experience within enterprise AI consulting or hyperscaler ecosystems is highly valued
  • Background supporting industries such as financial services, retail, manufacturing, hospitality, or healthcare is a plus
Additional Details
  • Full-time opportunity
  • Bonus eligible
  • Occasional travel required for workshops and client engagements
  • Sponsorship not available
  • Candidates should have fewer than 10 years of total experience preferred by the hiring team