IDEXX Livestock Diagnostics · 13 hours ago
Computer Vision Data Scientist
IDEXX Livestock Diagnostics is seeking a Computer Vision Data Scientist to develop imaging algorithms for veterinary clinical instrument platforms. The role involves working on microscopy algorithms and requires collaboration with cross-functional teams to solve challenging image discrimination problems using deep learning and classical computer vision techniques.
Biotechnology
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
Guide the work of junior imaging data scientists
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
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
Exposure to Databricks or similar ML workflow platforms
Interest in or exposure to microscopy imaging, digital cytology, or histopathology
Benefits
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
Company
IDEXX Livestock Diagnostics
Diagnostic tests and services to monitor the health of herd and flock animals worldwide.
H1B Sponsorship
IDEXX Livestock Diagnostics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2023 (1)
2022 (1)
2020 (1)
Funding
Current Stage
Late StageCompany data provided by crunchbase