Scientist

Roles and responsibilities:

● Scientific support for developing oncology AI solutions and research by integrating scientific expertise and cutting-edge methodologies.

● Guide decisions related to data interpretation, analysis, and presentation to effectively integrate biological and clinical concepts with data analysis and bridge the gap between basic scientific research and clinical applications, ensuring relevance for AI-based healthcare products.

● Collaborate with the product team to incorporate biological concepts into the AI product development process.

Requirement qualifications:

● Master’s degree in life sciences, biomedical, bioinformatics, or related field. PhD – a significant advantage.

● Knowledge in computational genomics and bioinformatics.

● Scientific understanding of the oncology field, focusing on cancer genetics and genomics.

● Translational research experience.

● 2+ years of relevant working experience.

● Strong analytical skills, problem-solving ability, and attention to detail. Preferred qualifications:

● Familiarity with clinical trial studies/biomarker studies in the

biopharmaceutical/diagnostics industry.

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● Experience working with publicly available datasets such as TCGA.