JOB TITLE: Computer Vision Engineer Co-Op
LOCATION: Hawthorne, NY (on-site)
TYPE: Co-Op (January 2025 – August 2025)
COMPENSATION: $30.00/hr - $40.00/hr
Clarapath is a medical robotics company based in Westchester County, NY. Our mission is to transform and modernize laboratory workflows with the goal of improving patient care, decreasing costs, and enhancing the quality and consistency of laboratory processes. SectionStar™ by Clarapath is a ground-breaking electro-mechanical system designed to elevate and automate the workflow in histology laboratories and provide pathologists with the tissue samples they need to make the most accurate diagnoses. Through the use of innovative technology, data, and precision analytics, Clarapath is paving the way for a new era of laboratory medicine.
Role Summary:
The
Computer Vision Engineer Co-Op will work alongside our existing engineering team to develop and enhance computer vision algorithms for digital pathology automation. This role is hands-on and interdisciplinary, focusing on the design, implementation, and testing of machine learning models and image processing workflows for medical imaging applications. The ideal candidate will be eager to apply their academic knowledge in a collaborative, innovative environment and motivated by the opportunity to make a meaningful impact in the healthcare space through advanced digital pathology solutions.
Responsibilities:
- Design, implement, and test computer vision algorithms for high-resolution pathology images
- Collaborate with team members to optimize machine learning models for diagnostic accuracy and efficiency
- Support image pre-processing, annotation, and data pipeline management
- Conduct performance analyses and document findings for continuous model improvements
- Participate in code reviews, contributing to best practices in coding and documentation
- Assist with data preparation, including labeling and organizing datasets for training and testing
Qualifications:
- Currently enrolled in Master’s or Ph.D. program in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field
- Strong foundation in computer vision principles and machine learning techniques
- Proficiency in programming languages like Python, and experience with libraries such as OpenCV, TensorFlow, or Pytorch
- Knowledge of image processing techniques, feature extraction, and model validation
- Excellent problem-solving skills and attention to detail
- Effective communication skills, with the ability to collaborate in a team-oriented environment
- Previous experience or coursework in digital pathology, biomedical imaging, or medical diagnostics a plus
- Familiarity with cloud computing platforms (ex: AWS, Azure) and data processing pipelines
- Exposure to data annotation tools and experience with labeling large datasets a plus
Company Offers:
- Competitive salary, commensurate with experience and education
- Comprehensive benefits package available: (healthcare, vision, dental and life insurances; 401k; PTO and holidays)
- A collaborative and diverse work environment where our teams thrive on solving complex challenges
- Ability to file IP with the company
- Connections with world class researchers and their laboratories
- Collaboration with strategic leaders in healthcare and pharmaceutical world
- A mission driven organization where every team member will be responsible for changing the standards of delivering healthcare
Clarapath is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. In addition to federal law requirements, Clarapath complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training
