Healthcare AI Scientist: Scale ML & LLM Solutions

Qventus, Inc; San Francisco (CA); Presencial; USD 130 000 - 170 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Open Paid Time Off

Paid parental leave

Professional development

Wellness stipend

Technology stipends

Employee referral bonus

Employee stock option awards

Resumo da oferta

Qventus, Inc is seeking an experienced Data Scientist to join their Data Science team in San Francisco. You will develop and operationalize cutting-edge ML and LLM solutions to enhance hospital operations and patient care.

You will collaborate with clinicians, data engineers, and product teams to deliver measurable value, using Python, SQL, NLP, and explainable AI techniques in a fast-growing healthcare tech environment.

Qualificações

• 3+ years of industry experience building 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 with Python and SQL, building data pipelines.

Responsabilidades

• Build, refine, and maintain ML models at scale, including NLP and explainable AI approaches.
• Develop, tune, and deploy LLM systems with rigorous evaluation of performance and trust.
• Design experiments and analytics to measure AI impact in healthcare contexts.
• Collaborate with clinicians, data engineers, and product teams to translate data insights into deployed products.
• Communicate findings clearly to technical and non-technical audiences.

Conhecimentos

Python

SQL

LLM systems

NLP

Explainable AI

Cross-functional collaboration

Formação académica

Master's degree in CS/Stats or related field

Ferramentas

Databricks

AWS

DBT

Descrição da oferta de emprego

Qventus, Inc is seeking an experienced Data Scientist to join their Data Science team in San Francisco. You will develop and operationalize cutting-edge ML and LLM solutions to enhance hospital operations and patient care.

You will collaborate with clinicians, data engineers, and product teams to deliver measurable value, using Python, SQL, NLP, and explainable AI techniques in a fast-growing healthcare tech environment.