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Data Science Developer

PaxeraHealth paxerahealth.com Open · verified Oct 24, 2026
Remote Worldwide Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at PaxeraHealth. Remote · full-time.

Pay not stated Data Science salary

RoleData Science
SeniorityMid-level
LocationWorldwide
WorkplaceRemote
EmploymentFull-time
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze large datasets to find useful patterns, then build machine-learning methods that improve diagnosis accuracy and limit false alarms
  • Work with radiologists, medical professionals and software engineers to create and test algorithms and models
  • Build tools that automate medical-image processing, including deep-learning models for image analysis and classification
  • Help plan and run clinical studies that assess model performance, while checking regulatory and quality standards

What you bring

  • At least five years developing and integrating complex imaging systems or medical-image diagnosis software
  • You have developed in C++ and can work with C#, Python and machine learning
  • You know DICOM development and troubleshooting, plus healthcare components such as PACS, VNA or RIS and their workflows
  • A bachelor's degree in computer science or a related area

Who this fits

This remote, mid-level role suits someone who can turn medical-imaging problems into tested algorithms and software tools. You’ll work across clinical and engineering teams.

From the employer

SUMMARY:

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.

REQUIRED EDUCATION AND EXPERIENCE

  • 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



Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data ScienceRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.