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

Recruit Detail

Company Name

MOLCURE Co., Ltd.

Occupation

Biologist (Phage display expert) / Biologist (Phage display expert)

Work Detail

New research and development in the biopharmaceutical field Designing projects that integrate biology, robotics, and AI Phage display experiment

Ideal Profile

Mandatory requirements Phage display experience (those who start up a phage display system by themselves) Over 3 years of phage display experiment experience Ph.D. degree or equivalent experience in a life sciences field Ability to communicate in English or Japanese as necessary to carry out work. welcome requirements Experience with phage display experiments English proficiency or Japanese proficiency at business level or higher

Work Location

The work location is Tsuruoka City, Yamagata Prefecture or Meguro Ward, Tokyo.

External Site

https://jobs.lever.co/molcure/328fe98b-2624-4ca2-a64c-807b5d163386

Similar Recruits

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 in-house 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

Knowledge Palette Co., Ltd.

Occupation
Researcher in Computational Life Science (Bioinformatics)

You will conduct research and development of new technologies that will lead to our company's goal of "data-driven cell control" and acquire cell big data. You are motivated by a wide range of research and development, from basics to applications, and can promote technology development and commercialization for the creation of new drugs and the practical application of regenerative medicine by utilizing bioinformatics, machine learning, statistics, and mathematical sciences. We are recruiting researchers. We are able to analyze large-scale, high-precision cell big data, which is only possible because we are a company that develops new experimental technologies. Our research projects include [A] in-house research projects and [B] research projects conducted jointly with other companies. [A] In-house research project: Research and development of cell control technology that integrates single-cell/large-scale transcriptome analysis technology and cell culture optimization technology (Example of research project) ・Research to acquire genetic profile data and metadata of "multiple types of cell lines x various cell states" and promote the construction of our own integrated database ・Research to improve the throughput of single-cell/large-scale transcriptome analysis technology by an order of magnitude or more ・Research to build a cell culture system in a microscopic space, a micro-volume medium preparation system, and a multifaceted cell evaluation system to improve culture condition screening throughput by more than two orders of magnitude compared to the current level. ・Research to advance elemental technologies through laboratory automation and significantly improve the data acquisition process 　 [B] Research projects conducted jointly with other companies: Joint research and commissioned research with other companies in the field of drug discovery and regenerative medicine using in-house technology (Example of research project) ・Phenotypic drug discovery and clinical biomarker search using single-cell/large-scale transcriptome data ・Searching for quality markers of cell medicines and optimizing culture conditions using single-cell/large-scale transcriptome technology Depending on suitability, etc., we may order you to transfer to work specified by the company.

2025年卒

Nikon Corporation

Occupation
biotech engineer

・Planning and execution of joint development with external researchers ・Collect information on future technologies and new applications related to basic/drug discovery/medical fields (pathology/ART) ・Principle verification experiment of technology using biosamples

2025年卒 2026年卒