Healthcare IT, AI/ML, Enterprise Software

Senior Data Scientist

RemoteRemoteFull TimeSenior$130,000–$170,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

machine learning
generative AI
behavioral science
NLP
explainable AI
LLM
Python
SQL
data engineering
statistical modeling

Nice to have

Databricks
AWS
DBT
healthcare data
hospital operations
Statistics

Role summary

Qventus is a healthcare transformation company using machine learning, generative AI, and behavioral science to improve patient care and operational efficiency. They are seeking an experienced Data Scientist to develop and implement ML and LLM solutions, design experiments, and perform data engineering. This high-impact role requires 3+ years of experience in ML systems and 1+ year in LLM systems, with strong Python and SQL skills. The position offers a competitive salary range of $130,000 - $170,000 USD and is fully remote. Preferred qualifications include experience with AWS, Databricks, DBT, and healthcare data.

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

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

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$130,000—$170,000 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.

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