Fullscript

Fullscript

Fullscript provides a platform that enables healthcare practitioners to create personalized supplement plans and recommend professional-grade supplements to their patients, enhancing patient care and treatment adherence through convenient ordering and ...

Health Care Providers & Services
251-1K
Founded 2011
$267M raised

Description

  • Ingest and normalize heterogeneous healthcare data sources, including clinical records, lab results, intake forms, and semi-structured artifacts.
  • Build robust, reproducible ELT pipelines in a cloud data stack to create clean longitudinal patient-level datasets.
  • Apply OCR and NLP techniques to extract structured signals from unstructured clinical documents.
  • Implement data quality frameworks, testing, version control, and CI/CD across ingestion and transformation workflows.
  • Collaborate with data science and product partners to ensure data models support causal inference and predictive analysis needs.
  • Optimize pipeline performance and scalability in cloud data warehouses such as Snowflake or comparable platforms.
  • Produce clear documentation and operational runbooks for internal users of healthcare datasets.
  • Work with healthcare-specific and semi-structured data sources common in clinical environments.

Requirements

  • 5+ years of experience in Data Engineering, preferably in healthcare, health tech, or regulated domains.
  • Deep SQL skills and Python experience for data extraction, transformation, and validation.
  • Experience with dbt or similar transformation tooling.
  • Experience with workflow orchestration tools such as Airflow or Argo.
  • Proven ability to handle semi-structured and unstructured data common in clinical workflows.
  • Hands-on experience with cloud data platforms such as Snowflake, BigQuery, or Redshift.
  • Strong data modeling skills for longitudinal patient, event, and lab data structures.
  • Clear communication skills with the ability to explain technical decisions to both technical and non-technical stakeholders.
  • Familiarity with healthcare standards such as FHIR, HL7, or clinical interoperability frameworks is a plus.
  • Practical experience with OCR or NLP libraries for document parsing in a data pipeline is a plus.
  • Exposure to predictive analytics or ML feature engineering in clinical contexts is a plus.
  • Exposure to building data assets that support causal inference or observational research is a plus.
  • Previous mentorship or leadership experience within data engineering teams is a plus.

Benefits

  • Salary range of $110,000 to $140,000 CAD.
  • Flexible PTO and competitive pay.
  • RRSP/401k match and stock options.
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts on high-quality wellness products.
  • Continuous learning opportunities for career and skill growth.
  • Remote-first flexibility, with Ottawa, Toronto, or Calgary preferred for this role.

Interested in this position?

Apply directly on the company website

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