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Research Engineer/AI medicine discovery startup / Flextime & Remote Work Available

Research Engineer/AI medicine discovery startup / Flextime & Remote Work Available

Tokyo

Fulltime

Remote

Famous Start-up

Global Business

Many Foreign Employees

Industry: AI Medicine Discovery

IT Skills: Keras, Tensorflow, PyTorch, Chainer, Python

Working hours: Flextime System

Salary: 7 Million yen〜9 Million yen

Job Description: 【Business Description】 SyntheticGestalt seeks to develop autonomous systems to invent new drug candidate compounds for patients suffering from diseases, and new genes for synthetic organisms that will improve the global environment. As a Research Engineer, you will define and implement the steps necessary for the successful development of such a system. Specifically, you will develop the machine learning models that compose the system, which will be difficult as they differ from the typical models in terms of the data and their purpose. You will be required to propose, with the help of members with various specialisations, hypotheses on what improvements would bring you closer to achieving your objectives, and to act as a pioneer in actually implementing and verifying these hypotheses. The development of machine learning systems at SyntheticGestalt consists of teams that take on various roles, e.g. developing models for the generation of compounds, developing models for predicting protein function, searching for new training data, designing features for small molecule compounds, etc. Your interests and aptitude will determine the team you belong to and your area of focus, but you will often collaborate with other teams. This is where the real thrill of working together to develop one system for a long time for shared objectives comes in. 【Summary】 As a Research Engineer at the company, you will clarify and perform activities that are necessary to make technologies (data resources, machine learning models and/or biophysical simulations) and products (drug candidates) successful. You will be responsible for designing, developing, and delivering them with the science and business teams. 【Responsibilities】 All of the following are areas of responsibility, but one of them will be a dedicated area depending on the team belonging to. • Develop a machine learning model dealing with chemical compound information, propose hypotheses to improve the model, validate the performance of it. • Propose and create new features based on data and purpose • Implement MLOps and distributed computing environments • Explore and add data to be used for training and inference • Search for relevant papers, apply and validate their concepts 【Working Style】・As a small group of elite members, each member has responsibility and discretion in their work. ・This is an environment where you can "challenge yourself to do what you want to do," and if you are interested in something outside of your area of responsibility, you can challenge yourself. ・Full remote work is available during the Corona Disaster. After Corona, remote work is also available depending on the individual's preference. ・Employees with children are also active in the company, and can build a career while balancing work and family life (maternity and paternity leaves are available). ・Flexible work hours are available, making it easy to adjust to your own schedule. 【Company Culture】・A flat organization where opinions can be expressed regardless of position and good opinions are adopted. ・Speedy decision-making that can only be achieved in a venture business ・At-home, supportive atmosphere that only a small group of people can provide ・A way of working that leaves the responsibility and discretion to the individual. ・Many of the members come from major well-known companies (major pharmaceutical companies, foreign consulting firms, mega-venture firms, etc.), and although they are a small company, many of the members are highly skilled and have a strong sense of ownership. ・International work environment due to many interactions with foreign members and the London office. ・While remote work is available, face-to-face MTGs and online events are incorporated to emphasize communication. ・Valuing "learning," you can further develop your potential through sessions where you can learn from members of other departments, subsidies for the cost of books, and so on.

Required Skills: 【Required】・Strong passion for artificial intelligence ・High level of communication skills in English or Japanese ・Either one of the following types ＜Type A: Those who have never worked with compound information＞・4+ years of practical experience as an engineer. 　-4+ years of engineering experience including 3+ years as a Machine Learning Engineer 　-4+ years of engineering experience with 2+ years of experience as a Deep Learning Engineer ・2+ years of experience as a Deep Learning engineer with 1+ years and 2+ types of Deep Learning models, respectively, of the 2+ years of experience as a Deep Learning engineer. 　-1 year of image and 1 year of natural language processing, 1 year of generative models and 1 year of graphs, etc. ＜Type B: Those who have worked with compound information＞・2+ years of work experience as a machine learning engineer or data scientist working with compound information ・At least one publication as the first author in an international conference or journal 【Preferred】・Ph.D. in computer science, mathematics, physics, or related field ・Experience in Chemoinformatics, Bioinformatics, or related field ・Experience in distributed/high performance computing ・Experience working as a data scientist 【Language】 One of the following is necessary ・Business level Japanese ・Business level English

Required Language Skills