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Contractual Public Health Informatics Jobs in California

Apex Informatics

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... public health * Excellent communicator who is able to explain complex analytical approaches in layman terms. * Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, Statistics or ...

Stanford University

Biostatistician 2

Stanford, CA · On-site

$115K - $134K/yr

The center employs various methodologies, including health informatics, predictive analytics, and community-engaged research, to address pressing public health issues like chronic diseases and mental ...

Stanford University

Biostatistician 2

Stanford, CA · On-site

$115K - $134K/yr

The center employs various methodologies, including health informatics, predictive analytics, and community-engaged research, to address pressing public health issues like chronic diseases and mental ...

Chapa-De

Leader of Data and Analytics

Auburn, CA · On-site

$118K - $140K/yr

Bachelor's Degree in Health Informatics, Data Analytics, Information Technology, or related field ... We comply with California Department of Public Health Requirements. This may include, but not ...

Chapa-De

Leader of Data and Analytics

Auburn, CA · On-site

$118K - $140K/yr

Bachelor's Degree in Health Informatics, Data Analytics, Information Technology, or related field ... We comply with California Department of Public Health Requirements. This may include, but not ...

Chapa-De

Leader of Data and Analytics

Auburn, CA

$118K - $140K/yr

Bachelor's Degree in Health Informatics, Data Analytics, Information Technology, or related field ... We comply with California Department of Public Health Requirements. This may include, but not ...

IEHP

Data Governance Analyst

Rancho Cucamonga, CA · On-site

... Health Informatics, Information Systems, Data Management, or a related field • In lieu of the ... public health plan in the country, and for the fourth year in a row, certified as A Great Place To ...

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All JobsContractual Public Health Informatics JobsContractual Public Health Informatics Jobs in California

Contractual Public Health Informatics information

Is health informatics in high demand?

Health informatics professionals, including those in contractual public health informatics roles, are in high demand due to the increasing reliance on electronic health records, data analysis, and health technology systems. The field offers growth opportunities as healthcare organizations prioritize data-driven decision making and digital transformation, often requiring skills in data management, coding, and health IT tools.

What are the most commonly searched types of Public Health Informatics jobs in California?

The most popular types of Public Health Informatics jobs in California are:

What cities in California are hiring for Contractual Public Health Informatics jobs?

Cities in California with the most Contractual Public Health Informatics job openings:

Contractual Public Health Informatics jobs near you

Healthcare Data Scientist (RWD)

Medeloop

San Francisco, CA • On-site

Full-time

Posted 21 days ago

Job description

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research. This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration across product, AI, and customer teams.

Internally, you will partner closely with Medeloop's AI research and product teams to design and execute real-world evidence analyses, evaluate the performance of our clinical research agents, and apply your scientific expertise to improve how our platform reasons about healthcare data. Externally, you will serve as an embedded data scientist for our partner institutions, working directly with clinicians, researchers, and life sciences organizations to scope research questions, deliver high-quality evidence, drive adoption of the platform, and expand each customer's use of Medeloop over time. This is a highly technical role centered on analytical reasoning, statistical rigor, and scientific problem-solving. Your work will directly influence both the intelligence of our AI systems and the real-world impact they create for healthcare and life sciences organizations.

Role & Responsibilities

  • Build and execute real-world evidence analyses to answer complex healthcare and biopharma questions using large-scale claims and EHR data.
  • Write high-quality, scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate rigorous, reproducible research outputs.
  • Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data, reasoning carefully about bias and limitations.
  • Work directly with Medeloop's AI research agents, reviewing and challenging their analytical outputs, and partner with AI and product teams to improve how agents translate research questions into high-quality analyses.
  • Partner with customer institutions: scope their research questions, deliver evidence, drive adoption, and help expand how each institution uses Medeloop.
  • Communicate analyses, assumptions, and limitations clearly to internal teams, scientific stakeholders, and customers, translating technical findings into plain-language insight.
  • Help shape the analytical foundations and evaluation frameworks behind the next generation of AI-driven clinical research tools.
Requirements
  • PhD, or a Master's degree minimum plus 5+ years of industry experience, in a quantitative-health field (biostatistics, epidemiology, clinical trials, public health, health informatics, or health economics). PhD preferred; strong industry experience can substitute for the doctorate.
  • Strong grounding in real-world data/evidence (RWD/RWE) methodology, with domain experience in biostatistics, epidemiology, clinical trials, or public health.
  • Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS).
  • Experience with large healthcare datasets, such as claims or EHR data (clinical coding systems, ICD/CPT/RxNorm), assumed to come with an RWE background.
  • Track record of producing rigorous, research-grade analyses, reports, or publications; comfort working with messy, high-dimensional data.
  • AI/ML experience required, with clear evidence of hands-on use; comfortable reviewing code and reasoning about model outputs.
  • Strong communicator; customer-facing experience preferred (trainable for the right analytical candidate).
Nice to Have
  • Experience working directly with customers and in a sales capacity.
  • Industry background strongly preferred over consulting (industry candidates preferred over consultants).