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Python Healthcare Jobs in California (NOW HIRING)

SuperDial

Forward Deployed Engineer

Burlingame, CA · On-site

$125K/yr

We're looking for a Forward Deployed Engineer with strong Python experience and a product mindset ... Bonus: experience in AI, LLMs, or healthcare tech (especially RCM) * Bonus: startup or 0→1 ...

US Bank

Credit Risk Python Architect

Los Angeles, CA

$111.61K - $131.30K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... Our benefits include the following: * Healthcare (medical, dental, vision) * Basic term and ...

US Bank

Credit Risk Python Architect

San Francisco, CA

$111.61K - $131.30K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... Our benefits include the following: * Healthcare (medical, dental, vision) * Basic term and ...

Hinge Health

Health Economist

San Francisco, CA

The Opportunity Healthcare costs are rising, and employers and health plans need proof that digital ... Fluent programming skills in R, SQL, and/or Python for data manipulation, statistical analysis, and ...

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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 California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 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.
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Python Healthcare jobs near you

Data Scientist (Python | LLM | AWS)

Purple Drive Technologies

Los Angeles, CA • On-site

Full-time

Posted 26 days ago

Job description

Overview:
Role Summary:
We are seeking an experienced Data Scientist with hands-on expertise in analytics, machine learning, and cloud technologies. The ideal candidate will design and implement data-driven solutions using Python, AWS, and modern DevOps tools, while collaborating with business teams to deliver actionable insights-preferably within the healthcare domain.
Key Responsibilities:
  • Develop and deploy predictive models for classification, regression, NLP, and deep learning use cases.
  • Work on large language model (LLM) applications and data pipelines.
  • Analyze structured and unstructured data to derive insights and recommendations.
  • Collaborate cross-functionally to translate business needs into data science solutions.
  • Implement workflows using CI/CD, Docker, and Terraform for scalable deployment.
  • Maintain GitHub repositories and contribute to reusable data science assets.
  • Build and visualize data stories to communicate findings to stakeholders.

Required Skills & Experience:
  • Strong proficiency in Python (end-to-end data workflows).
  • Experience with LLMs, NLP, and deep learning frameworks.
  • Familiarity with AWS services such as Bedrock, DynamoDB, S3, and Fargate.
  • Experience with Docker, Terraform, and Infrastructure as Code.
  • Exposure to Node.js, React, and modern web technologies.
  • Solid database and SQL knowledge.
  • Strong communication and storytelling skills.
  • Prior experience in healthcare or healthcare sales preferred.

Apply