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Remote Core Measures Data Abstractor Jobs in Chicago, IL

Rundoo

Senior Data Scientist

Chicago, IL · On-site +1

$201K - $248K/yr

This is a remote role with a strong preference for candidates based in SF or NYC . You will report ... Paid Take Home (~4-6 hours) - This is the core of the interview. We'll share more information about ...

MustardSeed PMO

PMO Data Analyst

Chicago, IL · Remote

Remote, US Only About the Role: MustardSeed is seeking a PMO Data Analyst to help turn project data ... Measure how long key decisions and approvals take to make and help quantify the cost of delay so ...

MustardSeed PMO

PMO Data Analyst

Chicago, IL · Remote

Remote, US Only About the Role: MustardSeed is seeking a PMO Data Analyst to help turn project data ... Measure how long key decisions and approvals take to make and help quantify the cost of delay so ...

MustardSeed

PMO Data Analyst

Chicago, IL · Remote

Remote, US Only About the Role: MustardSeed is seeking a PMO Data Analyst to help turn project data ... Measure how long key decisions and approvals take to make and help quantify the cost of delay so ...

Anomalix

Remote Consulting Engineer

Chicago, IL · On-site +1

Install and configure Core Security software products at a customer location or by remote access ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

Anomalix

Remote Consulting Engineer

Chicago, IL · Remote

Install and configure Core Security software products at a customer location or by remote access ... Intermediate to expert level skills (2-5 years) with SQL Server Data Tools to create SSIS packages ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

... core data and system platforms. Qualifications: 8+ years of relevant analytical experience ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

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How much do remote core measures data abstractor jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for remote core measures data abstractor in Chicago, IL is $26.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $32.93 per hour, depending on experience, location, and employer.

How much does a cardiovascular data abstractor make?

A cardiovascular data abstractor typically earns between $15 and $25 per hour, depending on experience, location, and employer. Many roles are remote and may require familiarity with electronic health records and data management tools.

Can abstractors work remotely?

Yes, remote core measures data abstractors can perform their duties from home, often using electronic health records and data management tools. Remote work arrangements are common in this role, requiring strong attention to detail and familiarity with healthcare data systems.

What are some of the common challenges faced by Remote Core Measures Data Abstractors?

Remote Core Measures Data Abstractors often face challenges related to interpreting diverse clinical documentation across multiple healthcare providers and ensuring complete, accurate data abstraction in accordance with ever-evolving regulatory requirements. Staying organized and managing time effectively is essential when working remotely to meet tight submission deadlines. Additionally, collaborating virtually with clinical teams and quality departments requires strong communication skills and proactive follow-up. Overcoming these challenges not only ensures compliance but also contributes to the overall quality improvement efforts of the organization.

What are the key skills and qualifications needed to thrive in the Remote Core Measures Data Abstractor position, and why are they important?

To thrive as a Remote Core Measures Data Abstractor, you need in-depth knowledge of medical terminology, healthcare standards, and experience in data abstraction or chart review, often supported by a healthcare degree or clinical background. Familiarity with electronic health records (EHRs), core measure abstraction software, and certifications such as Certified Health Data Analyst (CHDA) are highly valued. Strong attention to detail, time management, and effective written communication are essential soft skills for this detail-oriented and remote-based role. These competencies ensure the accurate extraction and reporting of clinical data, supporting hospital compliance and quality improvement initiatives.

How do I become a data abstractor?

To become a remote core measures data abstractor, candidates typically need a high school diploma or equivalent, strong attention to detail, and familiarity with medical records and data entry. Relevant skills include proficiency in electronic health record systems and understanding of healthcare terminology. Some positions may require prior experience in healthcare data abstraction or certification in medical coding or health information management.

What is a Remote Core Measures Data Abstractor job?

A Remote Core Measures Data Abstractor is responsible for reviewing and analyzing medical records to ensure compliance with core quality measures set by regulatory agencies like CMS and The Joint Commission. They work remotely to extract data, identify trends, and report findings that help improve patient outcomes and hospital performance. This role requires clinical knowledge, attention to detail, and experience with electronic health records (EHR) and quality reporting systems.

What is a core measure abstractor?

A core measure abstractor is a healthcare professional responsible for reviewing patient records to extract data related to specific quality measures used to evaluate hospital performance. They typically use electronic health records and follow standardized guidelines to ensure accurate and consistent data collection for reporting purposes.
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Remote Core Measures Data Abstractor jobs near you
Senior Data Scientist

Senior Data Scientist

Rundoo

Chicago, IL • On-site, Remote

$201K - $248K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

About Rundoo ℹ
Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery-these are our clients. From paint to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems. We're aiming to help them modernize so that they can continue to thrive.
Backed by leading investors including Bessemer and CRV, we've raised $18M across three rounds and are growing quickly. Our team is made up of builders, sellers, and industry veterans with a shared goal: to bring modern technology to an overlooked industry.
About the role
You'll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook). You'll be a thought partner to leaders across GTM, product, and finance - shaping the question as much as answering it - and proactively surfacing anomalies and opportunities as the business scales.
This is a remote role with a strong preference for candidates based in SF or NYC. You will report directly to the Head of Data Science.
What you'll do as an Data Scientist at Rundoo
  • Deliver high-trust analysis on clear timelines: stakeholders trust both the answer and the ETA; assumptions and limits are explicit.
  • Translate business problems into analysis + system requirements: turn vague asks into crisp scopes, metrics definitions, and data contracts.
  • Build and maintain internal decision systems: ship lightweight tools/workflows so insights are reproducible and maintainable by others.
  • Partner with GTM teams: help Sales/GTM move from "interesting analysis" to actions (e.g., prospecting lists, territory design, experimentation).
  • Proactively surface issues: detect anomalies, broken assumptions, or misallocated spend without waiting for a ticket.
  • Support fundraising readiness: contribute to an evergreen, credible data pool and reporting that leadership can rely on.
Requirements ☑
  • 5+ years of experience in data science, analytics, applied ML or MLE in a high-growth environment
  • Strong applied analytics / data science foundation (statistics, experimentation, causal thinking, forecasting, etc.).
  • Demonstrated ability to scope ambiguous problems and drive to decisions with stakeholders.
  • Comfort writing production-quality code (especially Python) and building maintainable internal systems (not just notebooks).
  • Excellent communication: can explain tradeoffs, assumptions, and recommendations to non-technical audiences.
  • High ownership and autonomy in a fast-paced environment; can operate without a lot of process.
Bonus points
  • Experience partnering closely with Sales/GTM teams (pipeline, conversion, pricing, prospecting, territories, etc.).
  • Experience building internal analytics tooling on cloud infrastructure (basic best practices, reliability, maintainability).
  • Experience operating in early-stage startups and/or building "v1 systems" that later scale.
  • Strong "structured systems thinking" and willingness to defend or revise an approach under scrutiny.

Location
  • Remote friendly
  • Expect ~1 week of travel per quarter to either our Chicago or Redwood City offices.

About the team
You'll partner closely with leaders across the business (GTM, product, and finance) and work directly with exec stakeholders. This is a high-trust, cross-functional role where the outputs need to be decision-ready and reproducible. You would work directly with the GTM leaders on the team:
  1. Amrit (Data Science): Studied CS & English at Cornell; Data Scientist at Enigma; Public Interest Technology Fellow at the New York Public Library. Enjoys mending, maintenance & buying junk on eBay.
  2. Matt (Sales): Studied history at Northwestern; taught middle school in Chicago (hardest job ever), led sales for a consumer start-up (Catch Co.), joined Rundoo as an AE and now leads the GTM team; former competitive angler in college (bass fishing )
  3. Vidhan (Client Experience): Studied Biomedical Engineering and Econ at Duke University; Formerly Director of Product at BuildZoom, Product lead at Hinge Health, and Co-Founder of Urova Medical.

Interview Process
  1. Intro call (30 min)
  2. Take-home exercise overview (30 min)
  3. Paid Take Home (~4-6 hours) - This is the core of the interview. We'll share more information about Rundoo and ask you to complete a task representative of the work you'd do at Rundoo. This interview will be paid, and we ask that you dedicate significant time to it.
  4. On-site
    • Take-home review - pressure-test the analysis; reproduce numbers; push on assumptions
    • GTM collaboration - test trust/translation and move from analysis to action.
    • Lunch with the team
    • Problem solving discussion - informal discussion on how problems are approached and tools used.
    • Systems/engineering - Basic systems architecture and best practices for building an internal tool.
    • Culture - Behavioral questions, geared toward our culture & values.
  5. References: one manager, one peer, one stakeholder (PM/GTM/Finance).

Benefits
  • Full medical, dental, and vision coverage (100% of premiums for you, 50% for dependents)
  • Life Insurance
  • 401k with Betterment
  • Unlimited PTO with 10 company paid holidays
  • Gym allowance
  • Daily team lunches for those in office
  • Learning materials and audiobook subscriptions
  • Dog-friendly office in Redwood City - https://rundoo.ai/rundogs/
About our founders
  1. Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple & Anova; danced with the SF ballet (where he met his wife)!
  2. Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater & Citadel and as a PM at Google & Enigma; distantly related to the founder of the Hershey company
How we've fundraised
We've raised $18m across three rounds:
  1. A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia.
  2. A $5m seed led by Caitlin Bolnick Rellas at CRV.
  3. An $11m series A led again by Bessemer and CRV.

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