MedMetrics Inc., is currently seeking a highly talented and driven Research Associate with expertise in machine learning, artificial intelligence, and medical imaging to join our R&D team. The successful candidate will play a key role in developing a bespoke medical imaging software package, contributing to the design, implementation, and validation of advanced AI-driven image analysis tools. This role requires a deep understanding of various programming languages and big data technologies, as well as the capability to work collaboratively with cross-functional teams to drive our ML & AI initiatives forward.
Key Responsibilities:
Develop and optimize ML/AI algorithms for medical image analysis and feature extraction.
Design and implement image processing workflows using Python and MATLAB.
Apply and fine-tune deep learning architectures (e.g., U-Net, CNNs) using PyTorch or TensorFlow.
Integrate image analysis methods (OpenCV, Scikit-Image) into custom software solutions.
Collaborate with multidisciplinary teams to translate research outputs into robust, deployable tools.
Maintain clear documentation of methods, models, and results for internal and regulatory use.
Qualifications & Experience:
MSc or PhD in Computer Science, Biomedical Engineering, AI, or a related discipline.
Demonstrated experience with medical imaging and machine learning model development.
Strong programming skills in Python, with proficiency in MATLAB and key ML libraries (PyTorch, TensorFlow, Keras, etc.).
Hands-on experience with OpenCV, Scikit-Image, and common image analysis techniques.
Solid understanding of data handling, model validation, and performance optimization.
Additional Requirements:
Must be willing to sign a Non-Disclosure Agreement (NDA) and Intellectual Property (IP) Agreement).
Strong analytical thinking and problem-solving skills with attention to detail.
Excellent communication and teamwork skills within a fast-paced R&D environment.
Desirable Skills:
Experience with DICOM/NIfTI medical image formats and healthcare data standards.
Familiarity with cloud-based ML tools, Docker, or software integration frameworks.
Experience in algorithm deployment and performance benchmarking in production environments.
Scientific publications and presentations
Job Types: Full-time, Part-time, Freelance, Apprenticeship, Internship / Co-op
Contract length: 6 months
Pay: $18.00-$30.00 per hour
Benefits:
Work from home
Application question(s):
Will to sign a Non-Disclosure Agreement (NDA) and Intellectual Property (IP) agreement
Education:
Master's Degree (required)
Language:
English (required)
Work Location: Remote
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