Data Scientist

About Imagene AI
Imagene AI powers a Cross-Modality Intelligence Engine for precision oncology, integrating histology, omics, clinical outcomes, and proprietary real-world data to derive meaningful insights that support biomarker discovery, response prediction, patient stratification, and evidence-based trial design. Our platform enables multimodal AI-driven response modeling from H&E whole-slide images and quantitative assessment of target expression through proprietary IHC Composite Continuous Scoring. We collaborate with leading pharma organizations to advance biomarker-driven programs from discovery through clinical development and deployment.

About The Position

We’re looking for a Data Scientist to join our growing team and help develop AI solutions at the intersection of oncology, precision medicine, and drug development.

In this role, you will work closely with data scientists, engineers, scientists, and product to turn complex biomedical data into meaningful AI-driven workflows. You will contribute to research, experimentation, and model development across digital pathology, clinical data, and LLM-based applications.

This is a great opportunity for someone who wants to grow in a highly interdisciplinary environment, learn from an experienced team, and take part in building technology that can support the future of precision oncology.

Responsibilities

Develop and evaluate ML, deep learning, and LLM-based workflows for digital pathology and oncology data.
Build data and model pipelines for biopsy images, clinical records, reports, and other biomedical datasets.
Use LLM tools and coding assistants to accelerate research, analysis, prototyping, and workflow automation.
Design and run experiments, analyze model performance, and translate results into clear conclusions.
Collaborate with data scientists, engineers, pathologists, and clinical experts to turn research questions into working AI solutions.

Requirements

BSc or MSc in Software Engineering, Computer Science, or a related field
5+ years of experience in deep learning and machine learning algorithm development.
3+ years of experience developing instance segmentation models.
2+ years of experience working with LLMs and prompt engineering.
Experience using AI coding tools such as Cursor, Claude Code, or similar tools.
Strong analytical skills, attention to detail, and ability to learn quickly.

Position terms:

Location: Tel Aviv (close to train and light rail)
Work model: 4 days per week in the Tel Aviv office + 1 fixed work-from-home day (Tuesdays)
Employment type: Full-time, global contract
Compensation: 28,000 – 32,000 NIS per month + attractive compensation package

Apply for job

Similar jobs

Imagene AI