Job Search

Recruit Detail

Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.

Company Name

Ezaki Glico Co., Ltd.

Job Type

Data Scientist (Research/Bioinformatics)

Work Detail

Our research division conducts group-wide research and development with the purpose of "healthy daily life, a rich life." You will be involved in projects that create new value leading to products and services through the analysis of omics data such as metagenomics, metabolomics, and epigenomics data, centered on gut microbiota research, as well as large-scale cohort data. We are looking for individuals who can not only perform data analysis but also, in the future, lead entire projects. Analysis of omics data (metagenomics, metabolomics, epigenomics data, etc.), including microbiome data (R, Python) General data analysis of cohort data and health checkup big data (aggregation, machine learning, causal inference, etc.) Planning and execution of new research themes *Collaboration with external organizations, planning and managing clinical research to acquire data, etc., may be required, and may be conducted at our facilities or at joint research partners.

Ideal Profile

[Required Qualifications] Experience in data analysis in omics research or cohort studies (bioinformatics, machine learning, causal inference, etc.) Ability to operate Linux in a CUI environment and perform data analysis using Python or R Basic knowledge of nutrition, physiology, biochemistry, etc. Master's degree or higher [Preferred Qualifications] Doctorate holder Experience in the food industry, pharmaceutical industry, or academia *When applying, please include details of your research and achievements.

Work Location

4-6-5 Utajima, Nishiyodogawa-ku, Osaka City, Osaka Prefecture

Phd. Stating Salary

Annual salary: 5 million to 8.5 million yen

Similar Recruits

Knowledge Palette Co., Ltd.

Job Type
Researcher in Computational Life Sciences (Bioinformatics)

We are seeking researchers to conduct research and development of new technologies that contribute to our goal of "data-driven cell control," as well as to acquire cellular big data. We are looking for researchers who are motivated by a wide range of research and development, from basic to applied, and who can drive the development and commercialization of technologies for new drug discovery and the practical application of regenerative medicine, utilizing bioinformatics, machine learning, statistics, and mathematical science. Because we are developing new experimental technologies, we can analyze large-scale, high-precision cellular big data that is only possible at our company. Our research projects consist of [A] in-house research projects and [B] collaborative research projects with other companies. [A] In-house research projects: Research and development of cell control technology integrating single-cell and large-scale transcriptome analysis technology and cell culture optimization technology. (Example of research project) ・"Multiple cell lines × Research to acquire gene profile data and metadata for various cell states and promote the construction of our own integrated database - Research to improve the throughput of single-cell and large-scale transcriptome analysis technology by more than an order of magnitude from the current level - Research to construct cell culture systems, micro-culture medium preparation systems, and multifaceted cell evaluation systems in microspaces and improve culture condition screening throughput by more than two orders of magnitude from the current level - Research to enhance elemental technologies through laboratory automation and significantly improve the data acquisition process [B] Research projects conducted in collaboration with other companies: Collaborative research and commissioned research with other companies in the fields of drug discovery and regenerative medicine utilizing our own technology (Examples of research projects) - Phenotypic drug discovery and clinical biomarker discovery using single-cell and large-scale transcriptome data - Discovery of quality markers for cell-based pharmaceuticals and optimization of culture conditions using single-cell and large-scale transcriptome technology Depending on aptitude, etc., you may be ordered to transfer to duties instructed by the company.

2025年卒