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掲載日:2021年11月18日
|神奈川(フルリモート) | 正社員 | 300~700万円
#659 ML Engineer for Next-generation Biopharmaceuticals *No Japanese ok
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 th

Summary
掲載日:2021年11月18日
神奈川(フルリモート) | 正社員 | 300~700万円
Job
■ 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