Senior Data Scientist

Title: Senior Data Scientist - Computer Vision (Medical Device, International Focus)

Location: Caesarea, Israel

Job Type: Full-Time

About Us:

EFA is an impact technology company dedicated to making essential hematology lab tests accessible to all. We have pioneered a groundbreaking 'Portable Lab' platform, The RevDx™, a battery-operated portable system that functions offline, enabling immediate hematology testing near the patient. This technology serves primary care clinics, home hospitalization, emergency settings, and remote locations, supporting early diagnosis and treatment of anemia, infections, parasitology, bleeding, and blood dyscrasias.

About the Role:

We are seeking a highly skilled Senior Data Scientist with 5-7 years of experience specializing in computer vision and machine learning for medical diagnostics. In this role, you will develop and optimize cutting-edge algorithms for image processing, segmentation, and classification, ensuring high accuracy and robustness for real-world clinical applications.

Key Responsibilities:

• Develop and optimize computer vision and machine learning algorithms for hematology diagnostics.
• Work on image pre-processing, segmentation, feature extraction, and classification.
• Implement deep learning models (CNNs, Transformers) for large-scale medical image analysis.
• Collaborate with cross-functional teams, including clinicians and regulatory experts, to integrate models into real-world healthcare applications.
• Ensure adherence to software development best practices, including clean code, design patterns, testing, and version control.
• Handle end-to-end model development, from data processing and statistical analysis to deployment and monitoring.
• Document methodologies, present findings, and ensure model interpretability and regulatory compliance.

Requirements:

• Master’s or higher degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field.
• 5-7 years of experience in Data Science, Machine Learning, or Computer Vision.
• Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch).
• Hands-on experience with computer vision libraries (OpenCV, scikit-image, etc.).
• Strong background in statistical analysis and data-driven decision-making.
• Experience working in clinical environments and collaborating with clinicians.
• Familiarity with medical device regulatory frameworks and AI validation processes.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Experience in medical imaging, hematology, or healthcare AI applications.
• Knowledge of regulatory and clinical validation processes for AI models.
• Familiarity with cloud-based AI deployment (AWS, GCP, or Azure).

Interested candidates are invited to submit their resume and cover letter detailing their qualifications and experience to [email protected].

Only relevant applications will be considered.