Horizon Surgical Systems, Inc.

Horizon Surgical Systems, Inc.

DataOps Analyst

Los Angeles, California

Sponsorship not specified$100k-$115kDetected 34 days ago
PythonBashGitAWSCloud PlatformsLinuxMachine LearningData AnalysisData EngineeringData ScienceComputer VisionStatisticsRoboticsFDA RegulatoryMicroscopyMedical DevicesRadiology

About the role

  • Open Position - DataOps Analyst Horizon Surgical Systems Inc.
  • Horizon Surgical Systems Inc. aims to expand access to care, provide superior capabilities to the human surgeon, and enhance patient outcomes.
  • If you're early in your career and want to do real, meaningful work in medical AI, this is a great place to grow.

Responsibilities

  • Move and manage data between Polaris (our cataract surgery platform) and our AWS cloud training environment, keeping pipelines healthy and well-documented.
  • Build and maintain ETL/ELT workflows using Python and Bash, and help us make them more reliable over time.
  • Maintain data catalogs, versioning, and audit trails so our datasets stay traceable and well-organized.
  • Collaborate with our AI/ML engineers to curate, version, and validate training and test datasets.
  • Support data requests from cross-functional teams including Regulatory, Clinical, and Systems Engineering.
  • Horizon Surgical Systems Inc. is revolutionizing the world of surgical ophthalmology by developing a novel, AI driven, and imaging-guided surgical robotic system.
  • Microsurgery in general and Ophthalmology are subfields of surgery for which the surgical outcomes can be significantly improved by robotic systems to allow superior dexterity, precision, accuracy, and visualization beyond the human surgeon's own capabilities.
  • We aim to deliver superior patient outcomes and surgeon experiences
  • We achieve our best when we collaborate and work together
  • You take data quality seriously and document your work clearly.

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field - or equivalent hands-on experience.
  • 2+ years of experience in a data operations, data engineering, or data analysis role.
  • Proficiency in Python for data manipulation, scripting, and automation.
  • Good communicator - you can work with technical and non-technical stakeholders without losing them.
  • Knowledge of statistics - data distributions, sampling methods, quality metrics.
  • Familiarity with DICOM or ophthalmic imaging data (OCT, surgical microscopy).
  • You'll be mentored directly by our principal DataOps engineer, who has 10 years of experience building and running production data pipelines.

Compensation

  • Competitive compensation and an excellent company-paid benefits package.

Benefits

  • Monitor pipeline health, catch anomalies early, and troubleshoot failures before they become problems.
  • Generate dashboards and reports on pipeline health, data quality, and throughput metrics.
  • Experience in a medical, clinical, or regulated environment (FDA, ISO 13485, or similar).
  • Background in image processing or computer vision workflows.
  • The base salary range for this role is $100,000-$115,000, in addition to a performance-based annual bonus, equity (stock options), a comprehensive benefits package, and a generous PTO policy.

Company info

  • We are driven by new ideas and aim to push the boundaries of what's possible
  • We are enriched by constructive criticism and support the best ideas
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