HawkCell

www.hawkcell.com

1 Job

32 Employees

About the Company

Engineered for Veterinary Imaging - Optimized for Pets. Life-Changing for Vets. We focus on MRI & CT because they diagnose the hardest cases and change treatment decisions. Our vision is to standardize excellence in veterinary MRI and CT. Values — Ambition • Trust • Innovation • Excellence • Grit Mission — Standardize excellence in veterinary MRI & CT. Products — HawkAI & HawkCT: AI based on veterinary data, delivering faster scans with zero compromise on image quality; higher efficiency via automation that reduces specialist time, anesthesia duration, and energy use; and superior ROI through lower operating costs and new revenue opportunities. Built by engineers, data scientists, PhDs, and veterinarians, our systems embed best practice into every workflow so any site can perform at a referral-center level—consistently, safely, and sustainably. We don’t just build imaging tools; we elevate clinical outcomes and the economics of care. HawkSpine: The first veterinary MRI & CT positioning system for precise, safe animal placement in ~2 minutes. It replaces ad-hoc aids (sandbags/foam/tape), adapts from kittens to German Shepherds via width adjustments and a hammock, cuts scan time and anesthesia, and saves staff time; delivering consistent, reproducible positioning across teams. We are consolidating our presence in Europe and expanding to the US & Asia. Today, HawkCell is the only player offering augmented MRI solutions with strategic partnerships with leading MRI manufacturers. Don’t miss the shift; lead it: hawkcell.com.

Listed Jobs

Company Name: HawkCell
Job Title: Senior Data Scientist
Job Description: **Job Title** Senior Data Scientist **Role Summary** Lead the design, development, and production of deep‑learning models for medical imaging tasks such as denoising, synthetic contrast generation, pathology detection, segmentation, and localization. Perform end‑to‑end pipeline creation, from data preprocessing to model packaging and deployment in a production environment, while mentoring junior team members and publishing academic work. **Expectations** - 4+ years of deep‑learning experience applied to imaging. - Demonstrated ability to transition models from research to production. - Strong coding discipline, collaboration via Git/GitHub, and familiarity with Python packaging tools (Poetry or uv). - Published research papers and willingness to continue publishing. - Comfortable working in a fast‑paced, international, English‑first setting. **Key Responsibilities** 1. Develop and optimize models for denoising, synthetic contrast, classification, segmentation, localization, and pathology characterization. 2. Design and implement robust evaluation pipelines and automated testing. 3. Package models using Poetry/uv and ensure scalable, maintainable codebases. 4. Deploy models to production environments and collaborate with R&D to bridge gaps. 5. Mentor junior data scientists and foster knowledge sharing. 6. Publish research findings in peer‑reviewed venues and represent the organization at conferences. 7. Contribute to IT initiatives to enhance data infrastructure and pipeline reliability. **Required Skills** - Proficiency in deep‑learning frameworks (PyTorch, TensorFlow, JAX). - Strong programming skills in Python, version control (Git), and CI/CD concepts. - Experience with packaging tools (Poetry, uv) and code documentation. - Familiarity with DICOM and medical imaging data formats. - Published research experience in computer vision or medical imaging. - English fluency for documentation, collaboration, and conference presentation. **Nice-to-Have** - Cloud platform experience (AWS, GCP, Azure). - Knowledge of medical software standards and regulated environments (HIPAA, GDPR, ISO). - SaaS startup experience and understanding of product‑market fit. - Exposure to web development or C++ programming. **Required Education & Certifications** - Master’s or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or related field. - Certifications in machine‑learning or data‑science are a plus.