Data Science Developer

PaxeraHealth Corp.
Newton, United States of America
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Newton, United States of America

Tech stack

Artificial Intelligence
Big Data
C Sharp (Programming Language)
C++
Image Analysis
Dicom
Imaging Technology
Python
Machine Learning
Software Tools
Deep Learning
Information Technology

Job description

The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the formulation and execution of technology solutions.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

  • Collect, preprocess, and analyze large datasets to identify patterns and features.

  • Develop and apply machine learning algorithms to improve diagnosis accuracy and reduce false positives.

  • Work with cross-functional teams, including radiologists, medical professionals, and software engineers, to develop and test new algorithms and models.

  • Design and develop software tools and frameworks to automate the processing and analysis of medical images.

  • Implement deep learning architectures for image analysis and classification tasks.

  • Participate in the design and implementation of clinical studies to evaluate the performance of developed algorithms and models.

  • Ensure that developed models and algorithms meet regulatory and quality standards

  • Keep up-to-date with the latest trends and technologies in the field of medical imaging and data science.

Requirements

  • 5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software

  • Experience in developing with C+

    • Knowledge of DICOM development and troubleshooting experience
  • Prior experience developing healthcare components (PACS, VNA, RIS) and workflows

  • Experience with C++, C#, Python, machine learning

  • B.S. in Computer Science or related field. An M.S. or PhD is a plus

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