2 дня назад
Oncology Data Engineer (Precision Medicine)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Oncology Data Engineer (Precision Medicine) (ETL/SQL/AI): Building scalable data pipelines and architecture for oncology and precision medicine data, including EMRs, laboratory, pathology, molecular, and genomic sources, with an accent on ETL optimization, healthcare data integration, and AI/LLM platform capabilities. Focus on integrating OpenAI tools and LLMs, supporting informatics decision-making, monitoring cloud infrastructure, and maintaining reliable data delivery.
Location: Remote, but must currently reside in Texas, United States
Company
Texas Oncology is a large community oncology provider delivering evidence-based cancer care across Texas and southeastern Oklahoma as part of .
What you will do
- Design, develop, and maintain ETL pipelines for large-scale data ingestion and transformation from EMRs, laboratory interfaces, and data warehouses.
- Build and implement data architecture supporting precision medicine and informatics decision-making.
- Write SQL for data science initiatives and optimize workflows for performance, accuracy, and integration.
- Integrate OpenAI tools and large language models into data platforms in collaboration with AI teams.
- Implement monitoring and alerting, and maintain cloud infrastructure and related services.
- Document architectures and procedures while applying best practices in cloud engineering, SQL, ETL, and AI integration.
Requirements
- Current residence in Texas is required.
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- 7–10 years of professional data engineering experience focused on ETL, including at least 3 years in healthcare data engineering.
- Experience with oncology workflows, clinical data, molecular or genomic data, laboratory and pathology data, and healthcare standards including HL7, FHIR, ICD-10, LOINC, and SNOMED.
- Strong experience with SQL and scripting or automation, such as Python.
- Experience with AWS, Azure, or GCP, and with OpenAI tools and LLM integration.
Nice to have
- Direct oncology data engineering experience.
- Experience with GitHub, Confluence, and Jira.
- Experience with EHR systems such as IKMg1/IKMg2, Epic, or Copia.
Culture & Benefits
- Medical, dental, vision, life insurance, and short- and long-term disability coverage.
- Paid time off and a 401(k) plan with company matching.
- Wellness program, tuition reimbursement, employee assistance program, and retail discounts.
- Some roles may participate in a discretionary long-term incentive plan that typically vests over three years.
- Office-style work environment with reasonable accommodations available for employees with disabilities.
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