LabBase Doctor・PostDoctor
ja/en How to use
ja/en How to use Contact
Home

Recruit Detail

Company Name

Astellas Pharma Inc.

Occupation

Formulation research position

Work Detail

Pharmaceutical technology research positions involve collaboration with research departments to create high-quality drug candidates, technical research related to drug substance manufacturing processes and formulation, industrialization research that takes into consideration the environment, quality, and safety, and development strategies. supply of investigational drugs necessary to start clinical trials based on the standards, create materials for obtaining approval applications in cooperation with reliability assurance, respond to factory inspections, create a system for product supply in accordance with sales strategies, and provide support to overseas bases. We provide technical guidance, equipment design, etc. associated with manufacturing technology transfer. It plays a key role in Astellas' speedy release and supply of high-quality new products. Engineering positions are responsible for installing research equipment, constructing manufacturing facilities for investigational drugs resulting from pharmaceutical technology research, and building manufacturing plants for future commercial production. Manufacturing engineers perform commercial and clinical trial production of synthetic drug substances, solid dosage forms, sterile injectable preparations, fermentation, antibodies and biopharmaceuticals under strict GMP control. In addition, we are building a manufacturing process that is more suitable for the plant, verifying it in a pilot plant, and using the results to improve the manufacturing process. By supplying pharmaceuticals globally, we have gained experience with inspections both domestically and internationally, and have built a higher-level quality system to ensure a stable supply of products to patients.

Ideal Profile

Those who have graduated or completed or are expected to graduate or complete a doctoral program at a science university by March 2026. Those who can communicate in English to carry out work.

Work Location

Tsukuba Research Center/Tsukuba Bio Research Center (Ibaraki Prefecture), Yaizu Pharmaceutical Research Center (Shizuoka Prefecture)

Phd. Stating Salary

406,600 yen

Selection Flow

Doctoral selection will be conducted over multiple terms. ▶Selection flow: Document screening ⇒ Interview (multiple times) ⇒ Informal offer *Selection will proceed in order from those who have completed their submissions. *Depending on the selection situation, recruitment may end early, so we recommend applying early.

External Site

https://astellas-recruit.snar.jp/jobboard/detail.aspx?id=M4d5nvQ6O-c

Similar Recruits

Sumitomo Chemical Co., Ltd.

Occupation
Creative staff (general position)

Research and development, production technology, plant engineering, quality control/quality assurance, intellectual property, DX-related, etc.

2025年卒

Knowledge Palette Co., Ltd.

Occupation
Experimental omics field (researcher)

Would you like to develop transcriptome analysis technology with the world's highest accuracy and highest throughput? We are looking for researchers who can work with us to develop platform technologies for data-driven new drug creation and practical application of regenerative medicine. Our single cell transcriptome analysis technology won first place in accuracy score at the 2020 International Benchmark Competition. Additionally, large-scale bulk transcriptome analysis technology boasts tens of times the throughput compared to conventional RNA-seq technology. However, there is still room for the development of these technologies, and we would like to further evolve them into technologies that stand out in the life science industry and accelerate the development of new drugs for patients with intractable diseases. We are looking for motivated researchers who want to develop the world's first technology and contribute to patients. 【in particular】 ・Research to improve the quantitative and qualitative throughput of single-cell/large-scale transcriptome analysis technology to improve efficiency by an order of magnitude or more ・Research to upgrade elemental technologies through laboratory automation and significantly improve the data acquisition process ・Technology development to expand acquired data, such as introduction of high-throughput technology to simultaneously measure omics information other than transcriptome ・Development of new single-cell/large-scale transcriptome analysis technology [Other ongoing research projects] ・In-house research on cell control that integrates single-cell/large-scale transcriptome analysis technology and cell culture optimization technology to improve culture condition screening throughput by more than two orders of magnitude compared to current levels ・In-house research to acquire genetic profile data and metadata of "multiple types of cell lines x various cell states" and build our own integrated database ・Joint research with other companies (including academia) that conducts phenotypic drug discovery and clinical biomarker discovery using single-cell/large-scale transcriptome data ・Joint research with other companies (including academia) to search for quality markers for cell medicines and optimize cell culture conditions Depending on suitability, etc., we may order you to transfer to work specified by the company.

2025年卒

Knowledge Palette Co., Ltd.

Occupation
Computational Life Science Field (Machine Learning Engineer/Data Scientist)

In the pharmaceutical industry, where the time and cost of developing new drugs is increasing year by year, advances in AI technologies such as machine learning and deep learning, as well as improvements in data processing speed by computers, are expected to play a major role in solving these issues. In fact, decisive changes are being brought about, such as shortening the drug discovery process and significantly improving the probability of development. At our company, we are acquiring cell big data with a unique approach of ``manipulating cells with big data extracted from cells and leading to the creation of new drugs.'' We are looking for researchers who are motivated by a wide range of research and development, from basics to applications, and who can promote the development of machine learning and data analysis technologies for the creation of new drugs and the practical application of regenerative medicine. We are able to analyze and apply large-scale, high-precision cellular big data, which is only possible because we are a company that develops cutting-edge experiment and analysis technology. Specifically, through our own research and joint research, we are developing a wide variety of machine learning algorithms, including the following. ・Use (semi-)supervised learning to analyze the types and proportions of cells contained in cell samples at the single-cell level, and identify cells and genes related to disease mechanisms and drug targets. ・Use causal inference algorithms to estimate gene regulatory networks and understand the principles of cell activity and disease development factors. ・Use Bayesian optimization to create experimental plans to optimize cell culture conditions and manufacturing processes for regenerative medicine products. ・Use segmentation to extract the shape of individual cells from microscopic images and evaluate cell culture conditions and shape responsiveness to drugs. We are looking for people who can improve and advance these tasks. In addition to these duties, we are also looking for individuals who can proactively propose new analysis methods using internal and external data, and who can create new value that will lead to the practical application of drug discovery and regenerative medicine. . Depending on suitability, etc., we may order you to transfer to work specified by the company.

2025年卒