Junior Computer Vision Data Scientist

Westbrook, ME

Full-time

Hybrid

$100K/yr - $115K/yr

New Grad, Entry Level

IDEXX is an innovation expert in various industries, and they are seeking a motivated early-career Computer Vision Data Scientist. This role involves developing image analysis algorithms for veterinary clinical instrument platforms, with a focus on microscopy algorithms for IDEXX’s inVue platform.

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Responsibilities

Develop and implement computer vision algorithms combining supervised deep learning (CNNs, transformers), unsupervised machine learning, and classical techniques (feature extraction, morphological operations, edge detection) for discrimination tasks.
Assist in the research, prototyping, and implementation of computer vision solutions for medical imaging and cellular analysis applications.
Support the development and validation of image processing pipelines that perform reliably across diverse imaging conditions and sample variations.
Work with the team to implement and optimize computer vision models for deployment on embedded devices and NVIDIA GPUs.
Conduct experiments and performance evaluations to validate algorithm performance, including benchmarking and statistical analysis.
Collaborate with cross-functional teams including engineers, clinical experts, and product stakeholders to understand and address clinical requirements.
Contribute to technical documentation for computer vision development, including algorithm design and validation methodologies.
Stay current with advances in computer vision, machine learning, and medical imaging through continuous learning.

Qualification

Required

M.S. in Computer Science, Electrical Engineering, Data Science, or related field, or B.S. with relevant internship/project experience in computer vision.
Foundational knowledge of both classical computer vision techniques and modern deep learning approaches.
Proficiency in Python and experience with deep learning frameworks, particularly PyTorch or TensorFlow.
Experience designing, training, and evaluating CNNs or other neural architectures for image classification, segmentation, or detection (through coursework, projects, internships, or research).
Exposure to model optimization and deployment considerations for resource-constrained environments.
Understanding of challenging discrimination problems in imaging (e.g., subtle feature detection, class imbalance).
Solid foundation in experimental design including dataset preparation, validation strategies, and performance evaluation.
Strong analytical and problem-solving abilities with attention to detail.
Ability to communicate technical concepts clearly and work effectively in team settings.
Enthusiasm for learning and applying new techniques to solve real-world problems.

Preferred

Familiarity with cloud platforms, particularly AWS, is a plus.
Exposure to Databricks or similar ML workflow platforms is beneficial but not required.
Interest in or exposure to microscopy imaging, digital cytology, or histopathology is a plus.

Benefit

Opportunity for annual cash bonus
Health / Dental / Vision Benefits Day-One
5% matching 401k
Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more

10,000+ people, one global focus - enhancing the health and well-being of pets, people, and livestock We are passionate about what we do at IDEXX – and why wouldn’t we be? When you’re working to raise the standard of care for pets, make drinking water safe for billions and keep our livestock population around the globe healthy and free of disease, it’s no wonder that what we do each day is more than just a job.

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