IDEXX

About the Company

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. There’s an energy across IDEXX that is contagious, where caring and committed people come together to make things better.

IDEXX Laboratories, Inc. (NASDAQ: IDXX), a member of the S&P 500, is a leader in pet healthcare innovation, serving practicing veterinarians around the world with a broad range of diagnostic and information technology-based products and services. Headquartered in southern Maine, we conduct operations through more than 70 locations around the world and serve customers in over 175 countries.

Our primary business focuses on pet health, a growing market around the world. Our products, in-clinic diagnostic tests and instrumentation, practice management and software solutions, and reference laboratory and consultation services, enhance the ability of veterinarians to provide advanced medical care, improve staff efficiency, and build more economically successful practices.

We also develop and manufacture diagnostic tests and information for the global production animal industry, including poultry and livestock, as well as tests for the quality and safety of water and milk.

Please visit our website, IDEXX.com/careers, for further information and to view all of our job opportunities.

Listed Jobs

Company Name

IDEXX

Job Title

Computer Vision Data Scientist

Job Description

**Job Title:** Computer Vision Data Scientist **Role Summary:** Develop and deploy advanced computer vision algorithms—including deep learning (CNNs, transformers) and classical techniques—for veterinary microscopy imaging platforms. Collaborate with cross‑functional clinical, engineering, and product teams to deliver robust image analysis pipelines on embedded devices and GPUs. **Expectations:** - Design, prototype, and validate image discrimination solutions for cytology analysis. - Optimize models for resource‑constrained hardware. - Guide junior imaging scientists and document technical work. - Stay current with CV/ML research and apply innovations to real‑world problems. **Key Responsibilities:** - Create and implement supervised and unsupervised CV algorithms (feature extraction, morphological ops, edge detection). - Build, train, and evaluate CNN/transformer models for classification, segmentation, or detection tasks. - Develop end‑to‑end image processing pipelines resilient to varying imaging conditions. - Optimize and port models to embedded systems and NVIDIA GPUs. - Conduct experiments, benchmarking, and statistical performance analysis. - Produce technical documentation and validation reports. - Collaborate with engineers, clinicians, and product stakeholders to meet clinical requirements. - Mentor junior data scientists. **Required Skills:** - Proficiency in Python; strong experience with PyTorch. - Solid foundation in both classical computer vision and modern deep learning methods. - Experience designing, training, and evaluating CNNs or similar architectures. - Knowledge of model optimization and deployment on constrained hardware. - Strong experimental design, dataset preparation, and performance evaluation skills. - Analytical problem‑solving with attention to detail. - Effective communication and teamwork abilities. - Familiarity with AWS (preferred) and ML workflow platforms such as Databricks (beneficial). - Interest or exposure to microscopy, digital cytology, or histopathology (plus). **Required Education & Certifications:** - M.S. in Computer Science, Electrical Engineering, Data Science, or related field, **or** B.S. with relevant internship/project experience in computer vision. - No specific certifications required; demonstrated project/research experience in CV is essential.

Westbrook, United states

Hybrid

27-01-2026

Company Name

IDEXX

Job Title

Data Analyst – Customer Experience & Product Insights

Job Description

Job title: Data Analyst – Customer Experience & Product Insights Role Summary: Translate complex telemetry and customer interaction data into actionable insights that influence product strategy, UX improvements, and device performance. Build measurement frameworks, define KPIs, and collaborate cross‑functionally to align data‑driven decisions with business objectives. Expactations: - Own end‑to‑end analytics for the Point‑of‑Care ecosystem, setting clear event taxonomies, user metrics, and KPIs. - Partner with product, engineering, UX, and support teams to translate insights into prioritized enhancements. - Lead the development and evolution of a cross‑product customer journey view, including software, devices, and support channels. - Design and execute experiments (A/B, quasi‑experimental) and evaluate outcomes using robust measurement plans. - Communicate findings in clear, concise formats to stakeholders at all levels. Key Responsibilities: - Create and maintain event taxonomies, user metrics, and KPIs across the POC ecosystem. - Analyze user journeys, conversion funnels, and drop‑off points to identify friction and recommend improvements. - Develop a cross‑product view of the customer journey, starting with highest‑impact workflows. - Translate device connectivity and instrument health data into product and CX KPIs (error rates, uptime, reliability, funnel analysis). - Link product usage patterns to support trends (case volume, escalation patterns) to uncover root causes. - Build actionable customer segments combining technology stack and behavioral characteristics. - Support experimentation with success metrics, measurement plans, and outcome evaluation (A/B or quasi‑experimental). - Synthesize quantitative behavioral analytics with qualitative signals (surveys, interviews, in‑app feedback). - Communicate insights and recommendations to product, R&D, UX, marketing, and leadership stakeholders. Required Skills: - Advanced SQL and Python for data manipulation; familiarity with R is a plus. - Experience with cloud data warehouses (Snowflake, Redshift, etc.). - Proficiency in UX analytics platforms (Heap, Pendo, Amplitude) or equivalent. - Strong data storytelling abilities and comfort with ambiguity. - Experience analyzing SaaS/IoT metrics such as software adoption, installed base, and device connectivity. - Track record of defining new KPIs and designing measurement plans for experiments. - Data visualization expertise (Tableau, Power BI, or similar). - Self‑starter mindset with strong ownership and cross‑functional collaboration skills. Required Education & Certifications: - Bachelor’s degree in data science, statistics, computer science, or a related field (or equivalent experience). ---

Westbrook, United states

Hybrid

24-02-2026