Our values

strength_courage

Do the
harder thing

We’re in this to have a meaningful impact on healthcare. That requires our products to provide authentic, long-term value for our customers. For some companies, value means successfully delivering what their customers ask for, which can be hard enough. For us, it's taking the time to identify and deliver what they need to be everyday innovators.
repitition_iteration

Embrace thoughtful failure in the service of continuous improvement

Failure is an inevitable stop on the path to success. We have the courage to ask questions when we don’t understand something, admit when we don’t have an answer, voice and try new ideas, and be honest when they don’t work. And we act quickly to incorporate the lessons we learn along the way.
peace_2-color

Prioritize a calm, respectful workplace

Deep work requires us to be rested and have space to think, so we keep meetings to a minimum and our hours balanced. Treating our co-workers and customers with kindness and empathy avoids the crazy and keeps us focused on what matters.

Why I work here

A few of our benefits

  • Competitive salary and equity compensation
  • Comprehensive medical, dental, and vision benefits
  • Pre-tax health savings account program
  • Paid family leave
  • Flexible work hours
  • Remote working stipend
  • 401k program with employer match
  • Unlimited PTO

A message from our CEO

At Ursa Health, we seek diversity on our team because we know that different backgrounds and points of view fuel innovation and creativity, and will therefore help us reach our goal of making healthcare better and more equitable for all. We foster an inclusive environment where we can celebrate our differences as well as our commonality.

We encourage candidates from diverse backgrounds to apply to our open positions. If you’re excited about our company but your past experience doesn’t align perfectly with the requirements in a given job description, please consider applying anyway. You may be just the right candidate for this or other roles.

Ursa Health is an equal opportunity employer. All applicants will be considered for employment without consideration of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable law.

Robin sig copy

Robin Clarke, M.D.

Join Our Team

data

Data Integration Engineer

Data Integration Engineer

Data Integration Engineer

About Ursa Health

We're Ursa Health, an 11-year-old, growth stage company. We straddle the line between being a software company and a tech-enabled consultancy, turning healthcare data into actionable insights. We've developed our healthcare data platform over the last decade combining deep industry IP with a flexible and powerful software product. Thanks to our unique, methodical approach, we're able to make sense of data in a way nobody else in the industry is able to – generating analytics that are trusted enough to change how care is delivered.

We're not talking about fancy black-box models or AI agents, although we do that too. Simply the work of taking healthcare data in its messy, raw format and turning it into results that accurately describe what is actually happening to patients; very few organizations can do this well. And, because of that, we serve as the core data and analytics engine for many of the most innovative companies in healthcare.

We're growing our team and are looking for engineers who can straddle this line between a software company and a consultancy. It's in our DNA that the people building our software products should also be on the front line of client-facing work. It's a hybrid role, and you'll have to be comfortable billing hourly on idiosyncratic client deliverables. But you'll also be channeling that work back into our software products, including our longstanding Ursa Studio and our newer AI-assisted tools like Compass and Sentinel.

Ursa Health is fully remote. We've been fully remote since our founding and have a strong remote-only culture. Hours are flexible. You'll be able – and indeed expected – to turn off Slack for hours at a time in order to get into a flow to solve the most difficult problems.

We believe in a very human application process — and are leaning further into this given the volume of AI-generated and fraudulent applications we're seeing across the industry. If you want to apply to join our team, submit your complete application including current personal contact information, an updated LinkedIn profile, and an updated CV. Qualified candidates will be asked to submit a 2-minute intro video and complete a technical puzzle, which shouldn't take more than a couple hours. The puzzle is drawn straight from our work and will give you an honest sense of the real-life challenges you'll be expected to tackle. After that, you'll interview with our team. We look forward to learning about your experience, getting to know you as a person, and giving you a real window into life at Ursa.

We're excited to meet candidates who are already authorized to work in the U.S., as we are currently unable to provide visa sponsorship.

Ursa Health is an equal opportunity employer. We are passionate about achieving diversity on our team because we know that different backgrounds and points of view fuel innovation and creativity, and will therefore help us reach our goal of making healthcare better and more equitable for all. We foster an inclusive environment where we can celebrate our differences. We encourage candidates from diverse backgrounds to apply to this and all of our open positions. All applicants will be considered for employment without consideration of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable law.

 

 

About the Role

Role Department: Delivery

Reports to: AVP, Integration Engineering

The Data Integration Engineer role is ideal for an experienced data professional eager to put their healthcare domain knowledge and engineering expertise to work in a collaborative, mission-driven environment. Your efforts to organize, transform, and automate the flow of healthcare data will unlock actionable insights for our clients, enabling them to move from raw data to meaningful analysis in hours rather than weeks. You'll interpret and integrate client data claims, ADT, clinical/EMR, provider billing, and other operational datasets into the Ursa Core Data Model, building reusable, enduring data models that clients rely on to drive clinical, operational, and financial decisions.

You will work closely with Ursa colleagues across analytics engineering, product development, and customer success, as well as directly with client teams including data architects, analysts, clinicians, and other healthcare professionals to understand their data and their needs. You'll leverage Ursa Health's data platform to design and build integration pipelines, data models and increasingly, work alongside AI-assisted tooling that accelerates the process.

About You

  • You're looking for a role that will allow you to apply your experience to a "blank canvas" to design and create elegant and enduring data models.
  • You have great attention to detail and enjoy the process of investigating and interpreting raw data. You anticipate dataset-specific inconsistencies and edge cases before they become problems.
  • You are a consultative partner by nature, comfortable working directly with a range of stakeholders (clinical, operational, data/technology, and actuarial) to understand how data was generated, what its limitations are, and how it will be used.
  • You are looking to join a collaborative team that is passionate about healthcare and strives to build best in class healthcare analytics.
  • You're curious by nature and excited to use technologies that allow you more time to explore, test, and iterate on the data model you design rather than worry about maintaining fragile code.
  • You have a deep understanding of health information systems, medical claims and/or billing data across payors and/or clinical data from your experience as a data architect and/or engineer.
  • You balance technical rigor with pragmatic elegance building solutions that are durable without being overcomplicated.
  • You've worked with AI tools and have developed a clear-eyed sense of where they help and where they don't especially in a domain where the cost of a wrong answer is high.

Responsibilities

  • Lead the integration of complex healthcare data packages including medical claims, pharmacy claims, revenue cycle billing, ADT, clinical/EMR, FHIR and value-based care financial datasets into custom or Ursa Studio standard data models through collaboration with client and Ursa Health teams.
  • Design and operationalize rigorous validation checks that preserve data integrity, prevent analytics degradation, and maintain client trust.
  • Communicate with clients to understand their data, its limitations, and intended analytical use cases to support them in interpreting the findings that drive their businesses.
  • Effectively communicate with internal and client teams to gather and understand the information necessary to successfully complete projects, documenting both the process and final deliverables so a non-technical stakeholder can understand the interpretation and business rules.
  • Collaborate with analytics engineers, customer success, and product teams to align delivery with client expectations and to surface product opportunities informed by client needs and data behavior.
  • Support client teams to advance their implementation initiatives, including training, measure building, and report interpretation.
  • Thoughtfully leverage AI-assisted tooling to accelerate and improve delivery, applying domain knowledge and human judgment to ensure sound output.
  • Keep your knowledge current regarding data security and privacy procedures and policies. Comply with HIPAA procedures and collaborate with the Incident Response Team as directed.

Qualifications

Required 

  • Bachelor’s degree
  • 4+ years of experience working with healthcare financial (e.g., claims, provider billing data), clinical or pharmacy data domains
  • Familiarity with healthcare data integration concepts, common data sources (payer data files, EMR/EHR systems), data formats (claims, billing, X12 835/837/270, HL7 ADT, FHIR), and medical coding standards (CPT, ICD-10)
  • 4+ years implementing and maintaining ETL/ELT pipelines and processes. 
  • 4+ years of experience in end-to-end data integration (data discovery, data cleansing and curation, analysis, transformation, validation and maintenance). 
  • High proficiency working with SQL, relational database systems (e.g., Snowflake, Microsoft SQL, Oracle, PostgreSQL) and data modeling. 
  • Excellent written and verbal communication skills. 

Preferred 

  • Knowledgeable in healthcare interoperability / integration engines
  • Experience with ELT or workflow orchestration tools such as Fivetran, dbt, Dagster, or Airflow. While this role applies those concepts within Ursa Studio rather than using those tools directly, the ability to think in systems is a plus.
  • Experience building data models that support healthcare outcome measurement.
  • Familiarity with value-based care data and financial models.
  • Working understanding of Python or JavaScript to manipulate and transform large datasets and data science fundamentals.
  • Experience working with AI tools in a professional context, with the judgment to apply them appropriately in healthcare data environments where output accuracy is critical.
  • History of working with remote teams.

Location

  • United States, Position is Remote

 

Please apply to this job on your actual computer, not through a VPN, with your actual email address and actual phone number. We promise we will not misuse this personal information! This should allow your application to sail through our fraud filters, which are unfortunately struggling to differentiate real candidates from the avalanche of fraudulent candidates we're seeing. If any of these fraud alerts are triggered, we will verify that your LinkedIn page has a robust, credible history and we will reach out directly through LinkedIn DM to confirm your identity. Please be on the lookout for this message!

 

The pay range for this role is:

160,000 - 180,000 USD per year (Remote)

 

APPLY HERE

 

 
manage

Senior BDR

Senior BDR

Senior Business Development Representative

 

About Ursa Health

We’re Ursa Health, a 10-year-old, growth stage company. We straddle the line between being a software company and a high-end consultancy, turning healthcare data into actionable insights. We’ve developed our healthcare data platform over the last decade combining deep industry IP with sophisticated master data management, ELT controls, and no-code logic authoring. Thanks to our unique, methodical approach, we’re able to make sense of data in a way nobody else in the industry is able to – generating analytics that are trusted enough to change how care is delivered.

 

We’re not talking about fancy black-box models or machine-learning algorithms, although we do some of that too. Simply the work of taking healthcare data in its messy, raw format and turning it into a data frame and measure results that accurately describe what is actually happening to patients; very few organizations can do this well. And, because of that, we serve as the core data and analytics engine for many of the most innovative companies in healthcare.

 

About the Role

Ursa Health is transforming analytics so innovators can transform healthcare. Our customers are healthcare organizations taking financial risk on patient outcomes—and they need analytics infrastructure that enables both innovation and performance. 

We're looking for a driven, experienced Business Development Representative to join our growing sales team. You'll be the tip of the spear in our go-to-market motion — identifying, engaging, and qualifying high-value prospects across health systems, ACOs, and other value-based care focused organizations. This isn't an entry-level role; we want someone who has been in the trenches, knows how to break into complex healthcare organizations, and has the numbers to prove it.

 

About You

  • 2–4 years of BDR or inside sales experience, preferably in health tech, SaaS, or healthcare services
  • Demonstrated track record of exceeding quota and generating qualified pipeline
  • Familiarity with the healthcare landscape: value-based care, ACOs, population health, or payor/provider dynamics is a strong plus
  • Experience with outbound sales tools (e.g. Outreach, Salesloft, Apollo, ZoomInfo, LinkedIn Sales Navigator)
  • Strong written and verbal communication (i.e. you know how to cut through the noise with a busy clinical or operations leader)
  • Comfortable with ambiguity and building processes in a fast-moving environment
  • Self-starter mentality with a competitive edge and genuine curiosity about value-based care
Nice to Have
  • Prior exposure to MSSP, ACO REACH, Medicare Advantage, or other value-based care programs
  • Experience selling into health systems, medical groups, or value-based care organizations
  • Familiarity with conference-based business development

 

Responsibilities

  • Own top-of-funnel pipeline generation through outbound prospecting via cold calls, email sequences, LinkedIn, and industry events
  • Identify and engage key decision-makers such as Chief Analytics Officers, VPs of Population Health, and ACO Executive Directors
  • Research target accounts to craft personalized, relevant outreach that resonates with healthcare buyers
  • Maintain accurate CRM records in HubSpot and track activity metrics daily
  • Collaborate with marketing on campaigns, content, and ABM strategies
  • Represent the company at industry conferences (NAACOS, RISE, etc.) and networking events
  • Meet or exceed monthly and quarterly pipeline and meeting-booked targets

 

What We Offer

  • Competitive base salary + uncapped commission
    • Base Salary of $65,000 - $85,000
    • On-Target Earnings (OTE): $100,000 - $120,000 (uncapped), with a 60/40 base-to-variable split
  • Clear path to Account Executive or strategic sales roles
  • Remote-friendly with travel to key industry events
  • Mission-driven culture focused on improving patient outcomes and reducing cost of care
 



data_analytics

Analytics Engineer

Analytics Engineer

Analytics Engineer

About Ursa Health

We're Ursa Health, an 11-year-old, growth stage company. We straddle the line between being a software company and a tech-enabled consultancy, turning healthcare data into actionable insights. We've developed our healthcare data platform over the last decade combining deep industry IP with a flexible and powerful software product. Thanks to our unique, methodical approach, we're able to make sense of data in a way nobody else in the industry is able to – generating analytics that are trusted enough to change how care is delivered.

We're not talking about fancy black-box models or AI agents, although we do that too. Simply the work of taking healthcare data in its messy, raw format and turning it into results that accurately describe what is actually happening to patients; very few organizations can do this well. And, because of that, we serve as the core data and analytics engine for many of the most innovative companies in healthcare.

We're growing our team and are looking for engineers who can straddle this line between a software company and a consultancy. It's in our DNA that the people building our software products should also be on the front line of client-facing work. It's a hybrid role, and you'll have to be comfortable billing hourly on idiosyncratic client deliverables. But you'll also be channeling that work back into our software products, including our longstanding Ursa Studio and our newer AI-assisted tools like Compass and Sentinel.

Ursa Health is fully remote. We've been fully remote since our founding and have a strong remote-only culture. Hours are flexible. You'll be able – and indeed expected – to turn off Slack for hours at a time in order to get into a flow to solve the most difficult problems.

We believe in a very human application process — and are leaning further into this given the volume of AI-generated and fraudulent applications we're seeing across the industry. If you want to apply to join our team, submit your complete application including current personal contact information, an updated LinkedIn profile, and an updated CV. Qualified candidates will be asked to submit a 2-minute intro video and complete a technical puzzle, which shouldn't take more than a couple hours. The puzzle is drawn straight from our work and will give you an honest sense of the real-life challenges you'll be expected to tackle. After that, you'll interview with our team. We look forward to learning about your experience, getting to know you as a person, and giving you a real window into life at Ursa.

We're excited to meet candidates who are already authorized to work in the U.S., as we are currently unable to provide visa sponsorship.

Ursa Health is an equal opportunity employer. We are passionate about achieving diversity on our team because we know that different backgrounds and points of view fuel innovation and creativity, and will therefore help us reach our goal of making healthcare better and more equitable for all. We foster an inclusive environment where we can celebrate our differences. We encourage candidates from diverse backgrounds to apply to this and all of our open positions. All applicants will be considered for employment without consideration of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable law.

About the Role

Role Department: Delivery

Reports to: AVP, Analytics Engineering

The Analytics Engineer role is ideal for an experienced analytics professional eager to put their healthcare domain knowledge and data modeling expertise to work in a highly collaborative and mission-driven environment. As an Analytics Engineer at Ursa Health, you’ll help develop and deliver impactful analytics solutions that accelerate clinical, operational and financial insights for our clients and fuel the evolution of our platform.

Your work will play a pivotal role in bridging the gap between raw data and end-user analysis by extending the Ursa Core Data Model and enabling clients to act on data faster and with greater confidence. You will partner closely with Customer Success Managers, Data Engineers, Product Managers, and other cross-functional teams to define needs, scope solutions, and ensure client and product value is realized from every analytics engineering engagement. You'll also work alongside the team building our newest AI-assisted products, contributing the domain knowledge and data modeling judgment that makes those tools actually work.

The role sits at the intersection of client delivery and innovation. The best candidates bring the consulting instincts to meet clients where they are, and the engineering rigor to build solutions that outlast the engagement.

About You

  • You are an experienced analytics professional with a deep understanding of healthcare data.
  • You thrive in client-facing work, where the ability to listen, push back thoughtfully, and translate between technical and non-technical stakeholders is just as important as what you build.
  • You’re a problem-solver who enjoys shaping solutions from a “blank canvas,” applying a methodical and creative approach to analytics engineering challenges.
  • You believe in the value of reusable assets and want to contribute not just to client success, but to Ursa’s portfolio of solutions that can serve many clients.
  • You've worked with AI tools and have developed a clear-eyed sense of where they help and where they don't — especially in a domain where the cost of a wrong answer is high.
  • You want to be part of something mission-driven, and you're comfortable with the ambiguity that comes with a small, fast-moving team.

Responsibilities

  • Deliver client-specific analytics solutions: Use Ursa Studio to develop, implement, and maintain Synthetic Objects, Data Marts, and measures tailored to client needs that enable rapid insight and drive operational and clinical impact.
  • Partner with Customer Success: Collaborate with Technical Customer Success Managers and leadership to scope, plan, manage, and support analytics engineering workstreams with clients, including multi-month embedded engagements and ad hoc initiatives.
  • Consult and train clients: Provide hands-off-keyboard expertise in analytics engineering using Ursa Studio, including technical scoping, advisory consulting, and training on best-practice analytics workflows using Ursa’s platform. Effectively balance being responsive to client requests with building better solutions based on our experience and expertise.
  • Contribute to Ursa product/cross-client solutions: Build scalable, high-impact data models and analytics components that enhance Ursa's SaaS platform and marketplace, making powerful analytic tools accessible to all clients.
  • Thoughtfully work with AI-assisted tooling : Leverage AI tools (including internally developed Ursa Compass) and capabilities to accelerate and improve our delivery approach, appropriately apply the domain knowledge and human intelligence to ensure sound output.
  • Ensure high-quality written and verbal communication: Clearly document solution approaches and final deliverables for both technical and non-technical stakeholders.
  • Maintain standards and security: Stay current with healthcare data regulations and Ursa’s privacy and security policies, including HIPAA compliance.

Qualifications

Required

  • Bachelor’s degree.
  • 4+ years of experience working with healthcare data in analytics, engineering, or consulting roles.
  • Strong knowledge of healthcare data domains (e.g., claims, EMR, behavioral health) and standards (e.g., ICD, CPT, HL7).
  • Proven experience in building and managing reusable analytics models and data products.
  • Experience working directly with clients in scoping, delivery, and support of technical solutions.
  • Strong proficiency with SQL and analytics tools/platforms.
  • Excellent written and verbal communication skills.

Preferred

  • Subject matter expertise spanning population health, HCC/risk adjustment, value-based care models, and quality measurement programs including HEDIS, PQA, Stars, MSSP, and MIPS.
  • Experience in analytics model governance, versioning, and documentation best practices.
  • Experience working with AI tools in a professional context, with the judgment to apply them appropriately.
  • Familiarity with Ursa Studio or similar no-code/low-code data platforms.
  • Experience training or mentoring analysts or engineers.
  • Prior work with distributed or remote teams.

Location

  • United States; Position is Remote

 

Please apply to this job on your actual computer, not through a VPN, with your actual email address and actual phone number. We promise we will not misuse this personal information! This should allow your application to sail through our fraud filters, which are unfortunately struggling to differentiate real candidates from the avalanche of fraudulent candidates we're seeing. If any of these fraud alerts are triggered, we will verify that your LinkedIn page has a robust, credible history and we will reach out directly through LinkedIn DM to confirm your identity. Please be on the lookout for this message!

The pay range for this role is:

160,000 - 180,000 USD per year (Remote (United States))

 

APPLY HERE

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