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

MRI segmentation Specialist

HybridBengaluru, Karnataka, IN

Hybrid • Bengaluru, Karnataka, IN

About the Role

We’re looking for an MRI Application Specialist with strong expertise in anatomy, pathology interpretation, and hands-on segmentation. You will support MRI data curation, segmentation workflows, collaborate closely with radiologists and AI engineers, and help build products aligned with upcoming healthcare technologies.

Key Responsibilities

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Software Engineer

Part-timeRotterdam, NL

Part-time • Rotterdam, NL

DevOps Engineer

Part-timeTel Aviv

Part-time • Tel Aviv

Machine Learning Engineer

ContractHaifa

Contract • Haifa

Software Engineer

ContractNovi Sad, RS

Contract • Novi Sad, RS

Data Scientist

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Product Designer

Full-timeMunich, DE

Full-time • Munich, DE

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Biocliq AI

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

MRI segmentation Specialist

HybridBengaluru, Karnataka, IN

Hybrid • Bengaluru, Karnataka, IN

About the Role

Key Responsibilities

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Software Engineer

Part-timeRotterdam, NL

Part-time • Rotterdam, NL

DevOps Engineer

Part-timeTel Aviv

Part-time • Tel Aviv

Machine Learning Engineer

ContractHaifa

Contract • Haifa

Software Engineer

ContractNovi Sad, RS

Contract • Novi Sad, RS

Data Scientist

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Product Designer

Full-timeMunich, DE

Full-time • Munich, DE

Perform manual and semi-automatic segmentation of all anatomies, especially MSK, including joints, bones, cartilage, ligaments, tendons, and soft tissues.

Review and interpret multi-sequence MRI datasets (T1, T2, PD, STIR, GRE, fat-sat, etc.).

Support MRI protocol understanding, quality checks, and dataset preparation.

Contribute to annotation guidelines, workflow improvement, and tool enhancement.

Document segmentation protocols and maintain accurate records of anatomical variations.

· Strong knowledge of anatomy across all major MRI sequences.

· Knowledge of relevant anatomical structures and pathologies across various MRI sequences.

· High precision in 2D and 3D segmentation.

· Proficiency with segmentation tools such as 3D Slicer, ITK-SNAP, Mimics, MITK, Horos, or equivalent.

· Ability to work with DICOM data and MRI-specific parameters.

· Strong visual reasoning and attention to detail.

· Ability to manage datasets and maintain consistency across volumes and sequences.

Strong understanding of MRI imaging principles, contrast mechanisms, and sequence interpretation.
Ability to follow structured segmentation protocols with high accuracy.
Clear communication skills for discussions with radiologists and technical teams.
Comfortable handling large MSK MRI datasets and various imaging artefacts.

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

2–5 years of experience working with MRI datasets and performing segmentation.
Experience in medical imaging annotation projects or clinical imaging workflows.
Prior exposure to AI/ML imaging teams is a plus.