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Remote Kaiser Analyst Jobs (NOW HIRING)

Our Series A was led by Northzone, with participation from General Catalyst, AlleyCorp, Kaiser ... Analyze complex datasets using statistics and ML to surface actionable insights and inform pipeline ...

Enara was founded by people from Stanford, UCSF, Kaiser, ClassPass & Evernote. Our mission is to ... Job Overview * Part-time contractor position with possible future full-time opportunities (Remote)

Virtual Weight Management MD/DO

Bowie, MD · On-site +1

$100 - $135/hr

Enara was founded by people from Stanford, UCSF, Kaiser, ClassPass & Evernote. Our mission is to ... Job Overview * Part-time contractor position with possible future full-time opportunities (Remote)

Remote * Work Type: Remote * Shift: First * Referral Eligibility: Eligible * U.S. Citizenship ... Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS ...

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Remote Kaiser Analyst information

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$31K

$73.3K

$130K

How much do remote kaiser analyst jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote kaiser analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Kaiser Analyst, and why are they important?

To thrive as a Remote Kaiser Analyst, you need strong analytical skills, experience in healthcare data analysis, and a background in health informatics or a related field. Familiarity with tools like SQL, Excel, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is often required. Exceptional attention to detail, problem-solving abilities, and effective communication skills set top performers apart in this role. These competencies are crucial for accurately interpreting complex healthcare data and supporting informed decision-making in remote environments.

How does a Remote Kaiser Analyst typically collaborate with other team members and stakeholders while working off-site?

As a Remote Kaiser Analyst, you will frequently collaborate with cross-functional teams, including healthcare professionals, IT specialists, and project managers, primarily through virtual meetings and digital communication tools. Effective communication is crucial, as you'll be expected to share insights, provide data analysis, and support decision-making processes remotely. You may also participate in regular video conferences, contribute to shared documentation, and use project management platforms to stay aligned with team goals. Building strong virtual relationships and utilizing collaboration technologies are key to success in this role.

What is a Remote Kaiser Analyst?

A Remote Kaiser Analyst is a professional who analyzes data, processes, or systems for Kaiser Permanente, a large healthcare organization, while working remotely. Their responsibilities typically include evaluating healthcare analytics, interpreting patient and operational data, and supporting business or clinical decision-making. They may collaborate with teams across various departments to improve efficiency, compliance, and quality of care using data-driven insights. Remote Kaiser Analysts often utilize specialized software and reporting tools to perform their work and must adhere to privacy and security regulations. Working remotely allows them flexibility in location while still contributing to key organizational goals.
More about Remote Kaiser Analyst jobs
What are the most commonly searched types of Kaiser Analyst jobs? The most popular types of Kaiser Analyst jobs are:
What states have the most Remote Kaiser Analyst jobs? States with the most job openings for Remote Kaiser Analyst jobs include:
Infographic showing various Remote Kaiser Analyst job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 1% Part Time, 1% Temporary, and 15% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
AI Engineer - Data Intelligence

AI Engineer - Data Intelligence

Clarium

Remote

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Why Clarium?
The healthcare industry overspends on its supply chain by over $25B each year, the result of fragmented data, inefficient workflows, and wasted supplies. Clarium is fixing that. Our AI-powered platform, Astra OS, gives hospitals end-to-end visibility into their supply chain operations, automating workflows and surfacing actionable insights so supply chain teams can focus on what matters most: patient care. We're trusted by some of the world's leading health systems, including Yale New Haven Health, Stanford, Geisinger, and Kaiser Permanente.
Founded in 2020, Clarium has raised $43M in total funding. Our Series A was led by Northzone, with participation from General Catalyst, AlleyCorp, Kaiser Permanente Ventures, Texas Medical Center Ventures, and 1984 Ventures.
The Opportunity
AI-powered platforms, like Clarium's, deliver the highest impact when they are supported by high-quality data. As we scale to more health systems and deepen our offering of intelligent, data-driven workflows, the master data enrichment pipeline (the system that classifies and contextualizes every product flowing through a hospital's supply chain) has become a critical growth lever. We're investing in the team and infrastructure to make that layer faster, smarter, and more reliable.
You'll join the Data Products team, a small, unusually senior group responsible for the data assets, data science, and analytics that drive measurable value for our clients. Day-to-day, you'll build and own components of our enrichment pipeline: classification workflows, entity resolution systems, evaluation harnesses, and the production tooling that keeps it all running. You'll work closely with engineers and data scientists who've shipped real ML systems at scale, and your work will feed directly into decisions made by supply chain teams at some of the country's leading health systems.
A rare early-career opportunity to learn fast and own real work from day one. As the first junior hire on the team, you won't be buried under layers of abstraction. You'll work directly alongside people who've done this before, on problems that actually matter. Short feedback loops, real stakes, and the kind of hands-on growth that's hard to find this early in a career. It's the opportunity many of us wish we'd had starting out.
In This Role You Will
  • Build and maintain components of Clarium's master data enrichment pipeline, the system that classifies and enriches every product flowing through our platform
  • Design and own classification and entity resolution workflows that combine deterministic logic and LLMs for production data processing
  • Build and operate evaluation harnesses, label sets, and regression suites (we use Braintrust) to measure and improve pipeline quality with confidence
  • Write production Python and SQL; the majority of your time will be spent in code, not in configuration tools
  • Analyze complex datasets using statistics and ML to surface actionable insights and inform pipeline improvements
  • Proactively audit data for quality issues; find the problems no one else has noticed yet, diagnose root causes, and ship fixes

What You'll Bring
  • Strong Python skills and a track record of writing production code, not just scripts or notebooks
  • Strong SQL, including complex joins, window functions, performance tuning, and data modeling
  • Comfort working in ambiguous environments; you can scope a problem, make a plan, and execute without hand-holding
  • A genuine, non-negotiable commitment to data quality; you treat silent bugs as real failures
  • Ability to go deep on an unfamiliar domain and develop meaningful expertise over time

Nice to Have
  • Experience with LLM integrations, prompt evaluation, or classification at scale
  • Familiarity with eval frameworks such as Braintrust, Promptfoo, or equivalent
  • Prior work in healthcare, supply chain, or another domain where data quality has direct operational consequences

Skills & Tools You'll Use
Need to Know: Python • SQL • PostgreSQL • CI/CD • Production observability
Nice to Know: Temporal • Braintrust • Snowflake • AWS • Sigma
What You Get at Clarium
Target Base Salary Range: $150K - $180K
The base salary Clarium offers may vary depending upon the ultimate scope and responsibilities of the position and on the candidate's job-related knowledge, skills, and experience. The total package will include equity, in addition to a full range of medical and/or other benefits, depending on the position offered. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Incentive Stock Options proportionate to your salary
Fully remote, with a NYC co-working space available; distributed team across multiple time zones with opportunities for in-person time
Unlimited PTO
Top-tier health, vision, and dental benefits
401K
The opportunity to build on a strong foundational team with deep data and engineering roots at a stage where your work genuinely shapes the product
Equal Opportunity Statement
Clarium is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.