Research Data Analyst

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

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.

Competitive compensation and an excellent company-paid benefits package.

Plan and execute experiments in collaboration with cross-functional teams, ensuring protocols are followed consistently and documented appropriately

Perform end-to-end data acquisition, including collection, transfer, validation, and storage of laboratory and experimental data

Process, clean, and organize large datasets from bench and pre-clinical testing activities to ensure data integrity and traceability

Conduct data analysis and communicate data trends, anomalies, and insights for engineering and product teams

Support the management and maintenance of data, ensuring data is properly labeled, stored, and accessible across teams

Assist in the evaluation and implementation of data tools, software, and systems to improve research efficiency and data quality

Bachelor's degree in Computer Science, Data Science, Bioengineering, Biology, or a related field, or equivalent practical experience

Proficiency in Python

Familiarity with CLI use (Linux and Windows OS)

Knowledge of standard laboratory techniques and research protocols

Proficiency in working with Linux and Windows OS

Ability to read and write thorough lab reports

Can use standard laboratory equipment safely and effectively

2+ years of laboratory experience (including undergraduate/graduate work).

Clinical/research experience

Understanding of aseptic techniques.

Basic ophthalmology knowledge

Good communication skills to collaborate with interdisciplinary teams, including software engineers, hardware engineers, clinicians, and project managers.

Ability to find patterns between complicated data, then organize and present that data to stakeholders with varying degrees of subject matter expertise.

This is an exciting opportunity to join a high-tech startup that is poised to revolutionize surgical robotics in ophthalmology.

Total compensation includes base salary, in addition to a performance-based annual bonus, equity (stock options), a comprehensive benefits package, and a generous PTO policy.