Senior Computational Biologist

1 week ago

Tel Aviv, Tel Aviv, Israel Imagene AI Full time ₪90,000 - ₪120,000 per year

As a Senior Computational Biologist, you will play a central role in advancing our AI-driven research and product development, while leading bioinformatics strategy and execution. You will be responsible for the design and execution of bioinformatics pipelines, including the harmonization of omics datasets. This position combines hands-on technical expertise with scientific leadership and active involvement in research and collaborations, offering the opportunity to shape bioinformatics and its impact on our AI solutions at the company level.

Responsibilities
  • Design and implement bioinformatics pipelines for analyzing high-throughput sequencing data (NGS, RNA-seq and other omics modalities).
  • Integrate computational biology expertise into the development of oncology-focused AI solutions, contributing both scientific insight and technical execution.
  • Design, implement, and maintain end-to-end, scalable pipelines for data extraction, validation, and quality control.
  • Develop robust approaches for harmonization and normalization of datasets, and implement methods to ensure reliable downstream analyses.
  • Integrate multi-modal data (including omics, networks, and textual) into reproducible data processing and analysis frameworks to feed downstream AI models.
  • Interpret complex datasets to generate actionable insights in cancer omics and translational research.
  • Serve as the bioinformatics lead in projects with academic and biopharma partners, ensuring high-quality deliverables and effective scientific communication.
Requirements
  • PhD in Bioinformatics / Computational Biology
  • 5+ years of experience in working with clinical omics data (including genomics, transcriptomics and proteomics).
  • Proven experience in translational research within biopharma, biotech, or related industry settings.
  • Knowledge of biomarker discovery, clinical trial datasets and diagnostics development.
  • Expert proficiency in Python and/or R, with strong experience using bioinformatics tools and workflows.
  • Exceptional analytical, organizational and problem-solving skills.
  • Strong communication and project management skills.
  • Ability to adapt quickly to evolving tools and project requirements in a fast-paced research environment, while taking ownership of work and deliverables.

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