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Data Science In Healthcare Jobs in California (NOW HIRING)

Jj

Manager, Data Science - Oncology

San Diego, CA · On-site +1

Our strength in healthcare innovation empowers us to build aworld where complex diseases are ... Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ...

Cogitativo, Inc.

Senior Data Scientist

Berkeley, CA · On-site

$160K - $200K/yr

We are a different kind of Data Science company, singularly focused on improving our healthcare system for all stakeholders - especially patients. Based in Berkeley, California, Cogitativo is a ...

Arine

Senior Data Scientist

San Francisco, CA

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services ... We combine cutting edge data science, machine learning, AI, and deep clinical expertise to ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

In this role, you will deeply immerse yourself with the team of data scientists in data collection and analysis, develop compelling, synthesized recommendations for senior leadership, and be involved ...

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Data Science In Healthcare information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data science in healthcare jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science in healthcare in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

Can a data scientist work in healthcare?

A data scientist can work in healthcare by analyzing medical data, developing predictive models, and supporting clinical decision-making. Skills in machine learning, statistical analysis, and familiarity with healthcare data standards like HIPAA are important for this role.

Who has more salary, a doctor or a data scientist?

Generally, doctors tend to have higher salaries than data scientists, especially in specialized medical fields. Data scientists in healthcare can earn competitive salaries, particularly with advanced skills in machine learning and healthcare analytics, but overall, medical doctors often have higher compensation due to their extensive training and responsibilities.

Is 30 too late for data science?

Data science in healthcare is accessible at any age, including at 30, especially with relevant skills in programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training, making age less of a barrier than skill and experience.

How can data science be used in health care?

Data science in healthcare involves analyzing large datasets to improve patient outcomes, optimize treatment plans, and enhance operational efficiency. Healthcare data scientists use tools like machine learning and statistical models to identify patterns, predict disease trends, and support clinical decision-making.
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What job categories do people searching Data Science In Healthcare jobs in California look for? The top searched job categories for Data Science In Healthcare jobs in California are:
Data Science In Healthcare jobs near you

Manager, Data Science

Inland Empire Health Plan

Rancho Cucamonga, CA • On-site

$154K - $204K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Job description

Overview
What you can expect!
Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!
The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including Generative AI), leadership experience, health care domain knowledge preferably in the managed care space, and the ability to align AI-driven solutions with business strategy. The Manager, Data Science enables the development of production-grade ML models, building GenAI applications (LLMs, RAG pipelines, prompt engineering, finetuning, multimodal models), and drives measurable business outcomes.
Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.
Additional Benefits
Perks
IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.
  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance

Key Responsibilities
  1. Leadership & Strategy
    • Lead and mentor a team of data scientists, ML engineers, and AI specialists.
    • Define and execute the roadmap for AI/ML and Generative AI initiatives across the enterprise.
    • Partner with business and technology stakeholders to identify AI use cases that create measurable value.
    • Advocate for responsible AI practices, ensuring solutions are ethical, explainable, secure, and compliant.
  2. Technical & Delivery
    • Oversee development of advanced ML models and AI systems (predictive, prescriptive, and generative).
    • Design and implement GenAI solutions, including LLM fine-tuning, embeddings, retrieval-augmented generation (RAG), and prompt optimization.
    • Drive end-to-end MLOps practices: model training, evaluation, deployment, monitoring, and lifecycle management.
    • Ensure scalability and performance of AI solutions within enterprise data platforms.
    • Collaborate with data engineering to optimize data pipelines for AI workloads.
  3. Innovation & Research
    • Stay at the forefront of GenAI, multimodal AI, and emerging ML techniques to evaluate their
      relevance and application.
    • Foster a culture of experimentation, rapid prototyping, and "fail-fast and pivot" approaches.
  4. Hire, train, and manage support staff, while monitoring and evaluating outcomes. Conduct performance reviews of each team Member within IEHP guidelines.
  5. Perform any other duties as required to ensure Health Plan operations and department business needs are successful.

Qualifications
Education & Requirement
Required:
  • At least ten (10) years of experience, which should include a minimum of seven (7) years of experience in data science & ML and at least five (5) years in a leadership/managerial role
  • Proven track record in leading AI/ML projects from conception to production
  • Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps setups
  • Direct experience in Managed Care and Healthcare analytics, including claims data, care management, utilization, risk adjustment, member engagement, or related areas
  • Exposure to multimodal AI (text, image, audio, video) applications
  • Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads
  • Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
    • Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred

Key Qualifications
  • Familiarity with basic principles of distributed computing and/or distributed databases
  • Knowledge of one or more business/functional areas. Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required
  • Familiarity with data governance, model interpretability, bias mitigation, and AI ethics
  • Strong analysis and critical thinking skills. Excellent communication and interpersonal skills
  • Strong programming skills in Python, PyTorch/TensorFlow, LangChain, Hugging Face, or equivalent framework
  • Ability to manipulate large datasets and using database and general-purpose programming language (R, Python, JavaScript, or other big data frameworks, Java, SQL)
  • Demonstrable ability to quickly understand new concepts all the way down to the theorems, and to come out with original solutions to mathematical issues
  • Ability to multi-task while maintaining careful attention to detail. Ability to handle multiple projects, data input, and strong problem-solving capability. Independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities
  • Expertise in Generative AI (LLMs, transformers, embeddings, vector databases, RAG, fine-tuning, and prompt engineering). Strong business acumen and ability to translate technical solutions into executive-level impact stories.

Start your journey towards a thriving future with IEHP and apply TODAY!
Work Model Location
This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday - Thursday onsite in Rancho Cucamonga, CA.)
Willingness to be on call occasionally to attend to technical issues outside of normal business hours
Pay Range
USD $154,128.00 - USD $204,214.40 /Yr.

Apply