■ Company information:

This company offers a novel drug discovery technology that leverages the combination of top-notch technologies including machine learning. It offers a platform that can greatly accelerate and improve antibody drug discovery at pharmaceutical companies. This system uses a next-generation sequencer that collects a large amount of antibody blueprint-related information and uses a proprietary artificial intelligence-based analysis system (patent pending) to achieve high-speed and large-scale acquisition of high-quality antibody candidates. It searches more than 10 times as many antibody drug candidates in about 1/10 of the time than conventional methods. Yet, the company aims at more efficiency and acceleration.

■ Core Business description

--Biopharmaceutical development business by the next-generation sequencer and big data analysis with artificial intelligence.

-Provision of high-speed, high-efficiency drug discovery screening systems with big data analysis using next-generation sequencers and artificial intelligence, targeting pharmaceutical companies and bio-venture companies engaged in the discovery and development of biopharmaceuticals.

The company aims at drug discovery faster and in larger amounts.

■ Products/Solutions

・Evolutionary Molecular Engineering・NGS・Novel peptides using artificial intelligence・Antibody drug molecular design technology

・Using the above technologies, establishment of joint R&D pipelines with pharmaceutical and biotech companies (including implementation of molecular design, research plan formulation, and consulting)

■ Role

You will design, implement, and test ML pipelines for predicting molecular properties using biological sequential data

■ Requirements

・Track record of implementation and optimization of various machine learning models in Pytorch

・At least 3 years of dedicated software development in Python

・Professional experience with full software development lifecycle

・BSc in computer science or mathematics or similar field

・Quick-learner

・Self-motivated

・Analytical and problem-solving abilities

・Good communication

・Interest in the field of drug discovery

*No Japanese ability required

■ Preferred Requirements

・Comprehensive knowledge of Python and Pytorch

・Good understanding of various deep learning methods

・Knowledge of biochemistry

・Excellent time management

・Preprocessing large datasets

・Business level or higher English proficiency

■ Conditions

Expected annual salary: ¥3M~¥7M, depending on your skills and experience

Working Location: Kanagawa

Salary promotion: Anytime

Employment type: full-time, regular employment

Holidays / Vacations: Saturdays and Sunday, Summer holidays New Year holidays, annual paid leaves.

Moving cost allowances (Depending on where you live currently)

Transportation expenses covered

Various Social insurance covered