Senior Data Scientist / LLM Engineer

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 The salary range for this role is $150,000 to $180,000. Qventus salary bands represent market data across different geographies. We consider several factors when determining compensation, including location, skills and qualifications, and prior relevant experience. Salary is just one component of Qventus' total package. Some of our key benefits and perks* include but are not limited to: Open Paid Time Off, paid parental leave, professional development, wellness, and technology stipends, generous employee referral bonus, and employee stock option awards. We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that's why we're building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by appli