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.

As a Senior Data Scientist / LLM Engineer at Qventus, you will have the opportunity to explore Qventus’ unique and rich healthcare dataset to develop cutting-edge solutions that leverage a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, build features, 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 should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare and patient outcomes. What we do can meaningfully change and, in some cases, save lives.

Key Responsibilities

Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful models developed thoughtfully using a variety of machine learning, LLM, mathematical, and statistical approaches
Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas
Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings
Create tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partners

What We’re Looking For

3+ years of research experience using a wide variety of statistical and machine learning techniques - particularly in NLP, explainable ML (Python)
2+ years of relative industry experience developing, launching, and maintaining machine learning systems at scale
1+ years experience developing and tuning LLM systems (strong experience with RAG preferred)
Strong cross-functional communication with technical and non-technical partners
Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines (SQL, Python)
Strong software development foundations - dedication to high code quality, stable architecture, and an eye toward maintainability

It’s a Plus if You Have…

Dedication to mentorship and growing strong collaborative data science teams
Exposure to agent-based GenAI frameworks
Proven ability to work with domain experts to design relevant features and design, develop and tailor algorithmic solutions to problems in healthcare, particularly in the hospital setting
Experience with healthcare data and industry
Practical hands-on experience with Databricks; Exposure to a broad ecosystem of data platform technologies such as AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, Databricks
Master’s degree in Computer Science, Engineering, or related field, or equivalent training/experience

Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards.

Salary Range

$140,000—$220,000 USD

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.