DataOps Analyst

Horizon Surgical Systems, Inc.•Los Angeles, CA

6h•$100,000 - $115,000•Onsite

About The Position

Horizon Surgical Systems Inc. is revolutionizing the world of surgical ophthalmology by developing a novel, AI driven, and imaging-guided surgical robotic system. Horizon Surgical Systems Inc. aims to expand access to care, provide superior capabilities to the human surgeon, and enhance patient outcomes. 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 are seeking highly motivated, and intellectually inquisitive individuals looking to make a positive impact on healthcare via the development of robotic technology. The core values of Horizon Surgical Systems Inc. are: Commitment to Excellence: We aim to deliver superior patient outcomes and surgeon experiences Passion for Creativity and Innovation: We are driven by new ideas and aim to push the boundaries of what's possible Teamwork and Camaraderie: We achieve our best when we collaborate and work together Welcoming of Critical Opinion: We are enriched by constructive criticism and support the best ideas Personal Accountability: We honor our commitments and take responsibility for our actions Horizon Surgical Systems Inc. offers: An opportunity to build autonomous surgical robotic systems driven by image guidance and AI technology for the future of affordable, high-quality healthcare. The opportunity to work alongside clinicians, engineers, and global leaders in cutting-edge AI, imaging, and robotics technology.

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.
Solid understanding of the AWS ecosystem (S3, Lambda, Glue, or similar services).
Comfortable working in Linux environments and writing Bash scripts.
Git-fluent: version control is part of your daily workflow, not an afterthought.
You take data quality seriously and document your work clearly.
Good communicator — you can work with technical and non-technical stakeholders without losing them.

Nice To Haves

Experience in a medical, clinical, or regulated environment (FDA, ISO 13485, or similar).
Background in image processing or computer vision workflows.
Knowledge of statistics — data distributions, sampling methods, quality metrics.
Familiarity with DICOM or ophthalmic imaging data (OCT, surgical microscopy).
Exposure to ML data lifecycle concepts: dataset versioning, data drift, model validation sets.

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.
Monitor pipeline health, catch anomalies early, and troubleshoot failures before they become problems.
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.
Write scripts and automation tools that reduce manual data handling — Linux/Bash fluency matters here.
Support data requests from cross-functional teams including Regulatory, Clinical, and Systems Engineering.
Generate dashboards and reports on pipeline health, data quality, and throughput metrics.