Data Science Developer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 14d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source 3h ago.
We have tracked this listing since 18 Oct 2026 (14 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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JazzHR employer's own board first seen 14d ago · last seen 3h ago
The listing
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.
- 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