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Updated 2024-10-24
Activated 2024-10-21
Activated 2024-10-21
[Tokyo] Machine Learning Engineer - A rewarding job leading the next generation of personalized medicine!
| This posting is managed by: | WORKPORT, inc. |
|---|---|
| Company Name | Company is not publicly visible |
| Job Type |
 |
| Location |
Asia
Japan
Tokyo
|
| Job Description |
[Job Summary] You will be responsible for the following tasks at the company. [Job Details] - Build and operate a cloud analysis platform on Google Cloud and AWS to smoothly advance various data utilization projects within the company. - In some cases, you may perform simple analysis and aggregation yourself and provide insights obtained from it in a form that adapts to business needs. - Collaborate with external cloud vendors and development partners to promote the construction of the infrastructure necessary for AI utilization and the development of machine learning applications on the infrastructure. - Since the Digital Strategy Promotion Department is a corporate organization, the analysis target will be the entire pharmaceutical process from drug discovery to manufacturing and sales. It is expected that you will be involved in a wide range of analysis themes such as marketing data, omics data, manufacturing data, and real world data. [Attractiveness of the job] You will be able to handle various big data in the medical field. We are seriously focusing on the digital field, and the data we handle is diverse, from prescription information to IoT data, so you will be exposed to a variety of technologies. |
| Company Info | No smoking indoors |
| Working Hours | 8:45-17:30 |
| Job Requirements |
[Required] - Basic knowledge of advanced analysis technologies such as machine learning and AI - Experience building and operating a machine learning platform on cloud platforms such as Google Cloud and AWS, and experience operating with Kubernetes - Basic knowledge of advanced analysis (mainly structured data) such as AI and machine learning, and coding skills to perform such advanced analysis (Python is a must) - TOEIC: 730 points or higher [Preferred] - Project management experience - Experience in analytical work in the medical field - Experience in application development using generative AI technology, such as system development using LLM or RAG - Work experience or research experience in the use of data science in the drug discovery field, such as bioinformatics and chemoinformatics, or equivalent knowledge |
| Japanese Level | Daily Conversation Level |
| Salary | JPY - Japanese Yen JPY 5000K - JPY 10000K |
| Other Salary Description |
Commuting allowance / Housing allowance / Dormitory and company housing system / Retirement allowance system / Employee stock ownership plan / Wellnet Club (mutual aid association) / Tennis courts / grounds / Contracts with resort facilities across the country, etc. |
| Holidays | Two days off per week (Saturday and Sunday), national holidays, year-end and New Year holidays, flexible holidays (four days per year), annual paid leave (18 days in the first year, up to a maximum of 23 days), special leave for special occasions, Golden Week holidays, maternity leave, step-up leave, volunteer leave, etc. |
| Job Contract Period |
full-time employee |
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