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

Regional Fish Co., Ltd.

Job Type

Chief aquaculturist/cultivator

Work Detail

Production and breeding management of aquatic organisms Characterization of newly created species Improved efficiency and automation of breeding and aquaculture through the introduction of new technologies such as AI/IoT

Ideal Profile

Qualifications (Required): At least 5 years of experience in aquaculture/research related to aquaculture. (For overseas applicants) Business-level or higher Japanese language proficiency. Qualifications (Preferred - at least one must apply): Doctorate or expected to obtain a doctoral degree, or equivalent master's degree or higher. Experience in the design and operation of land-based aquaculture tanks. Experience in broodstock rearing, seedling production, and aquaculture operations for multiple aquatic organisms. Experience in feed design. Aspiration to expand the breeding of aquatic products using technologies such as genome editing, to create something unprecedented, and to change the world. Ability to approach work with a sense of professionalism and contribute to teamwork. Ability to think of "how to do it" rather than "why it can't be done." Ability to quickly and efficiently advance tasks.

Work Location

Kyoto City, Kyoto Prefecture *Possibility of relocation nationwide

Phd. Stating Salary

Chief Aquaculture Worker: Monthly salary 360,000 yen and up (varies depending on experience and qualifications) + bonus 1,000,000 yen and up Aquaculture Worker: Monthly salary 250,000 yen and up (varies depending on experience and qualifications) + bonus 700,000 yen and up

Selection Flow

Pre-registration Formal application (submission of resume and work history) Casual interview (optional) Document screening Interviews (multiple rounds) Job offer *Casual interviews are available before the selection process for those who wish to have one.

Similar Recruits

Knowledge Palette Co., Ltd.

Job Type
Computational Life Sciences (Machine Learning Engineer/Data Scientist)

In the pharmaceutical industry, where the time and cost of new drug development are increasing year by year, the development of AI technologies such as machine learning and deep learning, and the improvement of computer data processing speed, are expected to play a major role in solving these challenges. In fact, decisive changes such as shortening the drug discovery process and significantly improving the success rate of development are already being brought about. Our company is pursuing a unique approach of "manipulating cells with big data extracted from cells to create new drugs," and is acquiring cellular big data. We are seeking researchers who are motivated by a wide range of research and development, from basic to applied, and who can promote the development of machine learning and data analysis technologies for new drug discovery and the practical application of regenerative medicine. Because we develop cutting-edge experimental and analytical technologies, we can analyze and apply large-scale, high-precision cellular big data that is only possible to acquire at our company. Specifically, in our in-house research and collaborative research, we are developing a wide variety of machine learning algorithms, such as the following: We are looking for someone who can continuously refine and advance these tasks. In addition, we are seeking someone who can proactively propose novel analytical methods using internal and external data, creating new value that leads to the practical application of drugs and regenerative medicine. Depending on aptitude and other factors, you may be assigned to a different role. You may be assigned to a different role depending on your aptitude. Depending on your aptitude, you may be assigned to a different role. Your role may be transferred to a different role as instructed by the company. * Bayesian optimization may be used to optimize cell culture conditions and manufacturing processes for regenerative medicine products. * Bayesian optimization may be used to optimize cell culture conditions and manufacturing processes for regenerative medicine products. Depending on your aptitude and other factors, you may be assigned to a different role as instructed by the company.

2025年卒