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Python Healthcare Jobs (NOW HIRING)

Comagine Health

Sr. Healthcare Data Analyst

Sacramento, CA · Remote

$93.70K - $118.20K/yr

Advanced coding proficiency in SAS, SQL, R, Python, or similar languages is a must. Key ... on healthcare data interpretation and use Apply advanced statistical methods and programming ...

Saransh Inc

Health Care Data Engineer

New York, NY · On-site

$125.30K - $150.40K/yr

Python, PySpark, and SQL for big data processing * Data lakes (Iceberg format), ETL (Informatica ... Experience with healthcare data and leading data teams * Agile development experience * Strong ...

Noblesoft Solutions

Python Developer V

Jacksonville, FL

$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 ...

Vergence

Senior Tableau/Python Developer

Springfield, IL · On-site

$120.40K - $162K/yr

The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive ...

Vergence

Senior Tableau/Python Developer

Springfield, IL

$120.40K - $162K/yr

The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive ...

Noblesoft Solutions

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 ...

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How much do python healthcare jobs pay per hour?

As of May 31, 2026, the average hourly pay for python healthcare in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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 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 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.
More about Python Healthcare jobs
What cities are hiring for Python Healthcare jobs? Cities with the most Python Healthcare job openings:
What are the most commonly searched types of Python Healthcare jobs? The most popular types of Python Healthcare jobs are:
What states have the most Python Healthcare jobs? States with the most job openings for Python Healthcare jobs include:
What job categories do people searching Python Healthcare jobs look for? The top searched job categories for Python Healthcare jobs are:
Python Healthcare jobs near you
Infographic showing various Python Healthcare job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 10% As Needed, 33% Full Time, 4% Part Time, 1% Temporary, and 49% Contract. Highlights an 70% Physical, 10% Hybrid, and 20% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Healthcare Programmer

nLeague Services

Nashville, TN

Other

Posted 18 days ago

Job description

Job ID:  65671

Position:  Epidemiologist

Client: TN DOH(Tennessee Department of Health)

Location: 710 James Robertson Parkway 7th Floor Andrew Johnson Tower   Nashville,  Tennessee    37243

Duration: 12+ Months (On-Site)

This posting is for TN residents only with a requirement to attend in-person staff meetings at least once monthly. Business Location: Andrew Johnson Tower, 710 James Robertson Parkway, Nashville, TN 37243.

This position is in the Office of Informatics & Analytics (OIA) within the Tennessee Department of Health. The primary responsibility of the Epidemiologist will be to advance data analytics information for a range of audiences. This individual will primarily work to expand our capabilities supporting the Controlled Substance and Monitoring Database (CSMD), Tennessee’s Prescription Drug Monitoring Program (PDMP) data. We are seeking a skilled and analytical professional to join our public health surveillance and prevention team as an Epidemiologist focused on prescription data. The epidemiologist will collect, manage, and analyze data related to prescription drug use, misuse, and overdose to support evidence-based public health responses. The role includes producing actionable insights from the Controlled Substance and Monitoring Database (CSMD) Tennessee’s prescription drug monitoring programs (PDMP). Utilizing CSMD data, Hospital Discharge data, and Vital Statistics data for data linkage.

Duties may include:

  • Support evaluations of overdose prevention and interventions such as prescribing limits, naloxone distribution, and provider education programs.
  • Create provider education materials in support of prevention activities
  • Produce a report specific to buprenorphine and create visualization products for dissemination.
  • Collaborate with public health officials, program staff, and external partners to develop actionable insights.
  • Perform statistical analysis to identify trends, hotspots, and risk factors for drug overdose.
  • Create dashboards and reports for internal and external stakeholders.
  • Work with epidemiologists, program managers, and healthcare providers to inform prevention and intervention efforts.
  • Ensure data quality, security, and confidentiality in line with HIPAA, applicable data governance policies and other regulations.
  • Contribute to grant applications, research studies, and presentations as needed.

Qualifications:

Required:

  • Master’s degree in public health, Epidemiology, Biostatistics, Data Science, or related field.
  • Minimum of 2 years of experience in public health and analytics.
  • Proficiency in analytical and visualization tools (e.g., R, SAS, Stata, Python, and Tableau).
  • Strong SQL skills and familiarity with relational databases.
  • Experience linking different datasets.
  • Ability to communicate complex data findings to non-technical audiences.
  • Knowledge of public health data sources and overdose surveillance systems.

Apply