Job Description & How to Apply Below
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
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
Benefits Paid parental leave for all new parents
Generous HSA contribution
Paid disability and life insurance
Participation in a 401(k)
Wellness + Tech stipends
Stock options
Comprehensive health benefits with 90% of the cost covered for employees
Education and professional development reimbursement
1+ years experience developing and tuning LLM systems
3+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale
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
Strong cross-functional communication with technical and non-technical partners
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
Position Requirements
10+ Years
work experience
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