Logo for Qventus, Inc

Senior Data Scientist

Role overview

Qualifications

  • 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

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
  • Collaborate with cross-functional teams to translate data insights into deployed products

Key facts

Hard skills

Other skills

  • Communication

About the company

Qventus, Inc logo

Qventus, Inc

Digital Health & Health Tech

Qventus is the leading system for care operations automation. Building on formative experiences at Stanford and McKinsey, Qventus was founded in 2012 with the belief that world-class healthcare requires world-class operations. With backing from leading investors including Bessemer Venture Partners, Norwest Venture Partners, and the Mayfield Fund, the company has raised more than $45M to develop a complete system for transforming the operations of health systems and hospitals nationwide. Integrating with EHRs, the Qventus real-time automation platform uses AI and behavioral science to power best practice solutions for operational challenges in inpatient, ED, perioperative, and command center settings. To operationalize the software, the Qventus Expert Services helps establish governance, deploy the solutions, and drive change management. Qventus is a proven partner with hundreds of deployments in community hospitals, academic medical centers, and large health systems across the country, including Bon Secours Mercy Health, CommonSpirit Health, HonorHealth, M Health Fairview, and Saint Luke’s Health System. With Qventus, these systems have been able to achieve significant and sustained outcomes, including 30-50% fewer excess days, 1 full day reduction in length of stay, and over 2 new cases added per operating room per month, translating to over $10 million dollars of annual financial value per facility. Qventus has been recognized by Black Book Market Research as #1 in Client Satisfaction for Patient Flow Solutions and has received accolades from the UCSF Digital Health Awards, Robert Wood Johnson Foundation, and Fast Company’s World Changing Ideas. For more, visit www.qventus.com.

Company details

Company typeSME
IndustryDigital Health & Health Tech
Company size51 - 200

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Job description

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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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