Biocliq AI

Biocliq Technologies is an AI healthcare startup focused on revolutionizing clinical diagnostics and treatment. Their solutions utilize advanced algorithms and deep data science research, trained on vast datasets, to provide specific, accurate analyses with actionable insights for error-free clinical decision-making. Their flagship product, UrologiQ, offers detailed reports with quantitative analysis and 3D visualization for diagnosis and treatment, particularly for kidney stone disorders using CT scans. UrologiQ aims to improve diagnosis accuracy, reduce analysis time, and enhance collaborative workflows. The company is ISO 13485 certified and collaborates with companies like Oracle and Nvidia.

AICT ScanDiagnosticsHealthcareISO 13485Medical DeviceUrologybiocliq.ai

Biocliq AI

AICT ScanDiagnosticsHealthcareISO 13485Medical DeviceUrologybiocliq.ai

HQBengaluru, IN

Team Size23

Open Jobs8

Total Funding$650K

Latest Fundraise3 years ago

Join the Team

CT Segmentation Specialist

HybridBengaluru, Karnataka, IN

Hybrid • Bengaluru, Karnataka, IN

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Machine Learning Engineer

Full-timeMunich, DE

Full-time • Munich, DE

AI Researcher

Part-timeSan Francisco, US

Part-time • San Francisco, US

Machine Learning Engineer

Full-timeNew York, US

Full-time • New York, US

Product Designer

InternshipManchester, GB

Internship • Manchester, GB

Backend Developer

InternshipJerusalem

Internship • Jerusalem

Data Scientist

Full-timeLondon, GB

Full-time • London, GB

About the Role

We’re looking for a CT Segmentation Specialist with strong, hands-on expertise in abdominal anatomy and high-precision segmentation. Your core responsibility will be to produce high-quality, pixel-precise abdominal segmentations that our AI pipelines can rely on.

Key Responsibilities

Perform detailed manual and semi-automatic segmentation of abdominal organs and structures (liver, spleen, pancreas, kidneys, bowel segments, vasculature, etc.).
Work with CT datasets across multiple phases (arterial, venous, delayed).
Validate and maintain consistency of 3D segmentation outputs.
Follow internal QA standards and contribute to annotation guideline improvements.
Provide feedback on tools, workflows, and edge cases.
Document segmentation protocols and maintain accurate records.

Skills

Strong knowledge of abdominal anatomy and CT interpretation.
High precision in manual and semi-automatic segmentation.
Proficiency with tools such as 3D Slicer, ITK-SNAP
Ability to work with DICOM data and PACS-based workflows.
Excellent attention to detail and consistency.
Ability to identify anatomical variations and handle low-quality datasets.

Education

Bachelor’s degree in Radiology, Biomedical Engineering, Medical Imaging, or a related field is a MUST.

Experience

3+ years of experience in CT segmentation, specifically abdominal regions.
Prior experience working on medical imaging annotation projects or AI/ML workflows is a plus.
Experience with liver lesion or vasculature segmentation is beneficial.