1

Python Healthcare Jobs in Florida (NOW HIRING)

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

Python Developer V

Jacksonville, FL · On-site

$46.50 - $64.25/hr

... including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those ... Responsible for development, programming, coding of Information Technology solutions using Python ...

Python Developer V

Jacksonville, FL · On-site

$46.50 - $64.25/hr

... including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those ... solutions using Python to enable Customer Experience applications. • Responsible for ...

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

... Python Developer with strong expertise in developing REST APIs to design build and maintain ... Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ...

We do Consulting Differently BRG Healthcare Analytics professionals bring extensive industry ... Proficiency in additional programming languages ( Python, STATA, SAS, etc.) is considered a plus.

Chewy is looking for a Senior Healthcare Analytics Manager to join our Healthcare Analytics Team ... Python experience is a bonus. * Experience with e-commerce, omni-channel, or retail data (catalog ...

Voloridge Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We ... Python development experience * CI/CD and DevOps experience * Familiarity with financial data and ...

Voloridge Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We ... Python, C#, Typescript, or Node.js (Python strongly preferred)​ * Hands-on LLM integration ...

... Python engineering skills and modern software practices: testing, CI/CD, version control, and API ... complex environments; healthcare exposure - clinical, payer, or life-sciences workflows, or ...

... Python engineering skills and modern software practices: testing, CI/CD, version control, and API ... complex environments; healthcare exposure - clinical, payer, or life-sciences workflows, or ...

next page

Showing results 1-20

Python Healthcare information

See Florida salary details

$9

$43

$64

How much do python healthcare jobs pay per hour?

As of Jun 19, 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.

Is Python useful for doctors?

Python is useful for healthcare professionals, including doctors, for tasks such as data analysis, medical research, and developing healthcare applications. It is widely used in medical informatics and machine learning projects, often requiring knowledge of libraries like Pandas, NumPy, and TensorFlow. Familiarity with Python can enhance a doctor's ability to interpret data and automate routine tasks.

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.

Will AI replace Python coders?

AI is unlikely to fully replace Python healthcare coders, as their role involves complex problem-solving, domain knowledge, and ethical considerations that AI cannot replicate. Instead, AI tools are expected to augment their work, automating routine tasks and allowing coders to focus on more specialized aspects of healthcare data management and software development. Continuous learning and familiarity with AI and healthcare standards are valuable for Python healthcare coders to stay relevant.

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.

What are the applications of Python in healthcare?

Python healthcare professionals use the language for data analysis, machine learning, and developing healthcare applications. It is widely employed in processing medical data, building predictive models, and automating administrative tasks, often utilizing libraries like Pandas, NumPy, and TensorFlow. Proficiency in Python enhances efficiency and innovation in healthcare technology environments.

How is Python code used in healthcare?

In healthcare, Python is used by professionals such as Python Healthcare specialists to analyze medical data, develop algorithms for diagnostics, and automate administrative tasks. Its extensive libraries like Pandas and NumPy facilitate data processing, while frameworks like TensorFlow support machine learning applications in medical research and patient care. Knowledge of data security and compliance standards is also important when working with sensitive health information.

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.

Infographic showing various Python Healthcare job openings in Florida as of June 2026, with employment types broken down into 8% Locum Tenens, 63% Full Time, 27% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $91,119 per year, or $43.8 per hour.

Data Engineer - Healthcare

Inizio Partners

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Posted 15 days ago


Job description

Position - Data Engineer (Python + React, Healthcare Domain)

Location – Tampa/Remote

Number of positions - 2

Overview

We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.

What You'll Do

  • Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)
  • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows
  • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets
  • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms
  • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams
  • Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)
  • Design and optimize data models, warehouses, and data processing workflows
  • Translate healthcare operational and reporting requirements into scalable data solutions
  • Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments)
  • Monitor, debug, optimize, and maintain production data systems and applications
  • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers

Required Skills & Experience

  • Strong hands-on experience with Python for data engineering and backend development
  • Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.)
  • Basic to strong experience with React.js frontend development
  • Experience building scalable ETL/ELT pipelines and production-grade data applications
  • Strong understanding of REST APIs and system integrations
  • Experience working with relational and/or NoSQL databases
  • Experience with data warehousing, data modeling, and large-scale data processing
  • Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred)
  • Ability to work in ambiguous, real-world problem spaces
  • Strong communication skills with technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

Preferred Experience

  • Prior experience in healthcare technology or healthcare systems
  • Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)
  • Experience working with healthcare workflows (clinical, operational, or administrative systems)
  • Exposure to regulated environments (HIPAA, security-sensitive systems)
  • Experience with big data technologies and distributed processing systems
  • Experience building analytics dashboards or data visualization platforms
  • Experience working with enterprise-scale data platforms and pipelines