Senior Bioinformatics Scientist

About Imagene

Imagene is a pioneering company in AI-based precision oncology, dedicated to decoding cancer using biopsy images. Our mission is to unlock the power of Oncology Intelligence to transform cancer research and diagnostics.

Imagene’s OI Suite platform leverages our state-of-the-art vision foundation model to provide fast, user-friendly, and data-efficient AI to advance drugs into the clinic. LungOI, our first application, is an AI-based NSCLC multi-gene test that offers rapid biomarker profiling, facilitating informed clinical decisions.

Imagene has been awarded the Digital Health Award for “Best Use of AI in HealthTech” and the Technology Leadership Best Practices Award by Frost & Sullivan and is committed to advancing precision oncology and enhancing care for cancer patients worldwide.

About the Position

We’re looking for a Bioinformatician to join a cross-functional data team dedicated to powering AI-driven oncology solutions. You will design and implement scalable pipelines to integrate and analyse high-dimensional public datasets and work closely with data scientists to power predictive models of drug response.

Responsibilities

• Curate and optimize diverse large-scale datasets, including genomic, transcriptomic, and proteomic data.
• Design, implement, and maintain end-to-end, scalable pipelines for data extraction, normalization, validation, and quality control.
• Integrate multi-modal data (including omics, networks, and textual) into reproducible data processing and analysis frameworks to feed downstream AI models.
• Lead cross-functional collaboration with clinicians, data scientists, and software engineers to define data requirements, ensure completeness, and guide interpretation.
• Oversee the preparation and documentation of structured datasets tailored for advanced analytical and AI-driven applications.

Requirements

• PhD in Bioinformatics, Computational Biology, or related field.
• 8+ years of experience in working with clinical omics data (including genomics, transcriptomics, and proteomics).
• Solid understanding of biological data standards and ontologies.
• Expert proficiency in Python/R and bioinformatics tools.
• Exceptional analytical, organizational, and problem-solving skills.
• Experience with processing large-scale omics data in cloud or HPC environments - advantage.
• Hands-on familiarity with AI/ML frameworks - advantage.