Synced from Greenhouse · Oct 1

Senior Data Scientist

QventusRemote, CanadaPosted Oct 1, 2026
Data ScientistRemoteSenior
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Mirrored from Qventus's own Greenhouse careers system · refreshed hourly

15
Other open Qventus roles
Oct 1
Posted
Greenhouse
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Job descriptionReq 4417727009

 

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1

 

Job Description

About Us

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

 

Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.

About the Role

We’re looking for an experienced Data Scientist to join our Data Science team. In this role, you will leverage your expertise to develop and implement cutting edge solutions leveraging a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML & LLM solutions to boost Qventus intelligence and outcomes. You’ll work cross-functionally with clinicians, data scientists, data platform engineers, and product experts to shape solutions that deliver measurable value.

This is a high-impact role that will influence our models and products that improve the quality of healthcare and save patient lives, strengthen customer outcomes, and shape our company’s growth trajectory.

Key Responsibilities

  • Build, refine, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches.
  • Develop, tune, and deploy LLM systems with an eye towards rigorous evaluation of performance and user trust.
  • Design comprehensive experiments and devise impactful analytics to measure the net impact of AI in healthcare settings.
  • Perform hands-on data engineering: cleaning, transforming, and building pipelines (SQL, Python).
  • Collaborate with cross-functional teams to translate data insights into deployed products.
  • Strong ability to communicate findings clearly to both technical and non-technical audiences.

What We’re Looking For

  • 3+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.
  • 1+ years experience developing and tuning LLM systems.
  • Strong cross-functional communication with technical and non-technical partners.
  • Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.
  • Strong software development foundations - dedication to high code quality, stable architecture

Bonus Points For

  • Background in healthcare data or hospital operations.
  • Experience with Databricks, AWS, DBT, or similar platforms.
  • Master’s degree or equivalent professional experience in Computer Science, Statistics, or related fields

 

Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers.

Qventus participates in the  E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice.

*Benefits and perks are subject to plan documents and may change at the company's discretion.

*Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

View original posting on Greenhouse

What applying to Qventus usually looks like

Based on publicly available information, candidates applying through greenhouse can typically expect a structured application process that begins with an online submission of a resume and application form, often followed by an initial recruiter screen if the profile aligns with role requirements. The process may include multiple stages, such as hiring manager conversations, skills-based assessments, and panel or team interviews, depending on the role type, whether technical, sales, or customer-facing. Communication is generally managed through automated status updates within the platform, and response times vary based on team capacity and role seniority. Candidates for Qventus should be prepared to discuss relevant experience aligned to healthcare operations or technology, as roles span engineering, product, and go-to-market functions. Overall, applicants can generally expect a professional, multi-step evaluation process typical of companies using greenhouse as their applicant tracking system.

Based on publicly available information. LandEarly does not verify interview process details.

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Senior Data Scientist
Qventus · Remote, Canada
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