3 дня назад
AI Applied Scientist (Healthcare AI)
219 000 - 246 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Applied Scientist (Healthcare AI) (LLMs, NLP, EHR, multi-agent systems): Building generative AI workflows, clinical data curation pipelines, and intelligent care agents from EHRs, claims, and unstructured medical text with an accent on clinical data quality, model evaluation, and safe healthcare deployment. Focus on designing LangGraph-based multi-agent architectures, extracting clinical variables with LLMs, and benchmarking agent safety, accuracy, factuality, and compliance.
Location: San Bruno, California, United States
Base salary: $219,000–$246,000 per year, plus bonus, equity, and benefits.
Company
is a data platform and technology company developing AI-enabled precision health solutions from multimodal healthcare data.
What you will do
- Design, develop, and deploy generative AI workflows and multi-agent conversational architectures, including LangGraph-based systems, for personalized interactions and automated symptom triage.
- Build and enhance LLM and NLP tools that extract clinical variables and derived features from unstructured medical text.
- Design automated evaluation pipelines and LLM-as-a-judge rubrics to benchmark agent safety, accuracy, factuality, and compliance.
- Curate EHR and medical claims data into trustworthy, analysis-ready longitudinal datasets.
- Validate privacy boundaries, data quality, and technical safety before production releases.
- Present technical methods, results, and evaluation frameworks to technical and non-technical audiences.
Requirements
- Master’s degree in data science, computer science, biomedical informatics, statistics, applied mathematics, or a related quantitative discipline, or equivalent practical experience.
- At least 3 years of industry experience applying machine learning, NLP, and generative AI techniques to clinical or healthcare datasets.
- Direct experience curating real-world healthcare data such as EHRs or medical claims, including unstructured medical text.
- Strong Python skills and proficiency with scientific computing and deep learning libraries such as PyTorch or TensorFlow.
- Eligible for -sponsored immigration support.
Nice to have
- PhD in computer science, biomedical informatics, machine learning, or a related quantitative discipline.
- Experience with LangGraph, NVIDIA NeMo, or Parabricks.
- Knowledge of SNOMED-CT, LOINC, RxNorm, ICD-10, FHIR, or OMOP.
- Experience establishing clinical ground-truth benchmarks with subject matter experts.
- Peer-reviewed healthcare AI/ML publications or submitted patents.
Culture & Benefits
- Work at the intersection of technology, data science, and healthcare.
- Compensation includes bonus, equity, and benefits in addition to base salary.
- Equal opportunity employment and applicant accommodation support are provided.
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