Come and join us to lead the fight against cancer by discovering the next generation of cancer treatments, novel biomarkers and drug targets, and helping tailoring treatments for the individual patient while using cutting edge technologies of computer vision, deep learning and spatial biology.
Requirements: Key Responsibilities:
* Contribute to the establishment of innovative spatial biology platforms, integrated to a multi-dimensional single-cell-omics data generation pipeline.
* Design, develop and perform experiments to generate spatial datasets, including multiplex imaging and spatial transcriptomics.
* Lead research projects with a multidisciplinary team including data scientist and software engineers
* Optimize and troubleshoot experimental conditions to ensure high quality and high reproducibility of the data.
* Collaborate closely with colleagues in the functional genomics team, computational biology / software engineering teams and provide support for application development.
* Maintain extensive knowledge of the literature and best practices in spatial biology, in particular related to the immune system
* Work with and present to key opinion leaders in the scientific community and Pharma industry
Qualifications: MD/PhD or PhD degree in Immunology or Cancer Biology.
* Experience in designing and executing research projects in the field of cancer and immunology.
* Experience in analyzing and interpreting clinical data.
* Experience working with Python / MATLAB / R.
* Knowledge in machine learning and/or deep learning algorithms
* Interpersonal skills, collaboration, teamwork.
?Advantage:
* Previous work experience in the biotech industry.
* Experience in spatial biology analysis and interpretation of high-plex images (e.g. MIBI, IMC, CODEX or comparable platforms).
* Research in cancer biomarkers and/or immunotherapy target discovery.
המשרה מיועדת לנשים ולגברים כאחד.