About LBSoft

LBSoft is an independent R&D company specializing in the development of advanced engineering software for health informatics, fire safety, and engineering calculations. While we operate as a strategic technology partner to Alara Proje, we are a fully autonomous and agile organization dedicated to local innovation.

Our Flagship Project: OncoEASE

We are currently developing OncoEASE (Oncological Enhanced Analysis Smart Evaluation), an AI-powered Clinical Decision Support System designed to revolutionize breast cancer care. The platform supports the entire patient journey through two core modules:

• DiagnoSENSE: Provides early and reliable diagnosis support by analyzing medical imaging and clinical data.
• TreatMIND: Offering a holistic approach to treatment planning and patient monitoring.

Job Title:

AI Software Engineer (Computer Vision & Medical Imaging)

Project: OncoEASE (Oncological Enhanced Analysis Smart Evaluation)

Location: Bilkent Center Hane TEKMER Ankara TURKEY

Job Type: Full-time

About the Role

Are you passionate about using Artificial Intelligence to solve real-world healthcare challenges? We are looking for a talented Software Engineer with a strong focus on Machine Learning and Computer Vision to join the OncoEASE Project.

In this role, you will develop cutting-edge deep learning models to analyze medical imagery, aiding in the early detection and diagnosis of oncological conditions (DiagnoSENSE Module). You will bridge the gap between complex algorithms and clinical application, decision making on treatment plans (TreatMIND Module), ensuring our software is accurate, explainable, and secure.

Key Responsibilities

• Design and implement Deep Learning models (specifically CNNs) for medical image classification and segmentation.
• Perform end-to-end medical image processing: from reading DICOM files and ROI extraction to normalization and augmentation.
• Apply Transfer Learning techniques to adapt state-of-the-art architectures (e.g., ImageNet pre-trained models) to medical datasets.
• Collaborate with the team to integrate AI models into the OncoEASE software pipeline.
• Ensure all data handling complies with medical data privacy standards (KVKK/GDPR).

Technical Qualifications

1. Machine Learning & Deep Learning

• Strong command of CNN architectures (ResNet, EfficientNet, DenseNet, etc.).
• Proven experience with Transfer Learning, specifically adapting general computer vision models to medical data.
• Proficiency in Python and the ML stack: NumPy, Pandas, scikit-learn.
• Hands-on experience with Deep Learning frameworks: PyTorch (preferred) or TensorFlow.

2. Medical Image Processing

• Experience working with medical imaging modalities, such as MRI, PET CT, Mammography, or Ultrasound.
• Deep understanding of the DICOM standard and file structure.
• Ability to execute essential pre-processing steps: ROI extraction, image normalization/standardization, and artifact removal.
• Expertise in Data Augmentation techniques specifically tailored for medical datasets.
• Proficiency with image processing libraries: OpenCV or scikit-image.

3. Data Privacy & Ethics

• Awareness of KVKK / GDPR regulations regarding sensitive personal data.
• Understanding of the ethical responsibilities involved in processing health data.

Preferred Qualifications (Nice to Have)

• Explainable AI (XAI): Familiarity with interpretability tools such as Grad-CAM, SHAP, or LIME to visualize and validate model decisions for clinicians.
• Experience in deploying ML models into production environments.

Why Join OncoEASE?

• Work on a project with a direct impact on human health and cancer research.
• Engage with challenging technical problems at the intersection of AI and Medicine.

How to Apply: