Job Openings |
Our business has been expanding along with collaborations/alliances with pharmaceutical/diagnostic companies, academia and national institutions (such as NIID, NCC Japan, and Kyoto University).
For our further growth, we are looking for a bioinformatics researcher in charge of single-cell analysis, T and B cell receptor (immune repertoire) analysis as collaborative research and service. This position requires a level of knowledge and understanding that allows for smooth interaction with experimental and clinical researchers from industry, academia, etc. We welcome applications from researchers with enthusiasm to contribute to society by developing new therapies and biomarkers through the development of cutting-edge bioinformatics technologies.
At KOTAI, it is essential to collaborate with people who have different backgrounds, cultures, and so on. We emphasize teamwork and communication skills in hiring. The scientific communications in the company are conducted in English.
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Job Requirements |
Minimum Requirements
- At least three publications of collaborative research with experimental researchers (e.g., interdisciplinary research, clinical research)
- Experience in next-generation sequencing (NGS) data analysis (RNA-seq is a must)
- Programming skills in Python/R/SQL, etc. (not all skills are required, but the applicant must be able to implement pipelines on their own)
- Mathematical background: knowledge of statistics and other mathematics (science and engineering undergraduate level)
- At least three years of experience as a researcher
- Ability to communicate in English
- Ability to communicate with experimental researchers
Preferred Qualifications
- Research experience using single-cell analysis (10x, Rhapsody, etc.)
- Collaborative research experience in the field of immunology
- Knowledge of immunology
- Ability to plan and carry out independent research in the field of bioinformatics (at least one first-author paper or equivalent in the field)
- Experience of machine learning and data mining of biological data (p>>n problem)
- Experience of wet experiments (in vitro assays)
- PhD degree
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