Data Scientist / Bio-AI Researcher (Ph.D.) | GenAI & Single-cell Analysis / Up to ¥11M

★Data Scientist (PhD in Information Science) | Major Internet-related Service Provider

• Business Level Japanese Required

★Hybrid Work

★Location: Tokyo/Osaka

★Great Welfare

• Cafe , Nap space , Massage etc

◆ Annual Salary： 9 million ～ 11 million yen.

-------------【About the company】-------------

【Internet for all】

Since launching its Internet business in 1995, the company has been providing a variety of Internet-related services with the strong desire to "bring the convenience, fun, and potential of the Internet to as many people as possible.

・Internet Infrastructure Business

・Internet Advertising and Media Business

・Internet Finance Business

・Crypto Assets (Virtual Currency) Business

-------------【 Job Description】-------------

The Group R&D Division is a department that provides technical support, development, and analysis for startups and cross-group projects that the company is focusing on in its business areas to support business success. Within this department is the AI R&D Office, which provides support related to data analysis and AI. In addition, they are constantly researching and developing the latest technologies, and are quick to introduce them into businesses to achieve results.

You will participate in a joint research project on senescent cells with the Institute of Medical Science, The University of Tokyo.

In the field of single cell analysis, one of the hottest topics in bioinformatics (dry analysis), cutting-edge research on “senescent cells” is one of the most popular research topics today.

Research that applies the latest generation AI foundation model (Foundation Model) and various machine learning techniques, and delves deeply into the nature of data and AI models to uncover the genetic mechanisms of senescent cells.

The AI R&D office also conducts a variety of business projects, and you can participate in other projects while doing collaborative research or afterwards, and develop your desired career based on your performance.

◆Fintech (Fintech) Projects

Understanding the nature of the financial services offered by GMO Internet Group, and using data science techniques such as mathematical modeling and machine learning to successfully handle difficult-to-predict financial data and improve profitability.

◆Adtech (Adtech) projects

In RTB (Real Time Bidding), one of the main mechanisms of Internet advertising, we mainly design and develop machine learning models for DSP (Demand-Side Platform), which optimizes cost-effectiveness for advertisers, and measure its effectiveness.

◆App projects

Measuring the effectiveness of new features and measures for apps that facilitate free WiFi access, using causal inference techniques to improve the KPI of the service by setting up a system for data-driven management decision making.

◆Other projects

Support the application of data analysis and machine learning techniques with respect to crypto asset trading, fraud detection, etc.

【R&D Work】

・While performing project work, all members will spend a certain amount of time researching cutting-edge machine learning methods and new machine learning applications.

・In addition, members appointed on a quarterly basis will conduct focused research and development.

【Attractiveness of this position】

You will be able to be involved in very challenging research using senescent cells, one of the cutting edge of biology, and state-of-the-art AI technology, and contribute to the elucidation of unknown mechanisms of human beings.

You will constantly learn cutting-edge machine learning, deep learning, statistical methods, etc.

You will acquire three important skills (problem solving, data science, and engineering) and can greatly develop one or more of your strengths.

You will have many opportunities to interact with data scientists from different departments who are in charge of different projects through study sessions and other opportunities to improve your data science skills.

As a department under the direct control of the group CTO, the selection of technologies is left to the field, so you will be able to verify and introduce cutting-edge technologies on your own.

Depending on the individual's performance and motivation, you will be able to take on the challenge of freely conducting research and development work on the team's key themes.

In addition, if you are involved in projects other than aging cell research collaborations, you will have the following opportunities

You will have the opportunity to launch a project from scratch to solve various issues through data analysis and AI technology for the company group's wide range of services.

You will be able to directly handle a variety of data, including the world's largest financial data and several hundred terabytes of ad-tech data, and learn big data analysis technologies (BigQuery, PySpark, etc.).

You will be able to analyze various types of data such as time-series data, user behavior data, and articles.

Since all of the services are in-house, you will be able to work with the business unit to set up your own issues, come up with your own solutions, and perform an improvement cycle based on data science.

The team is diverse, consisting of PhDs who have worked in academic fields, engineers, and others.

【Technologies Used】

◆Analysis Methods

Single cell RNA analysis, gene expression analysis

Machine Learning:

Transformer systems (large-scale language models, single-cell generative AI models, etc.), graph neural networks (GNN), multilayer perceptrons (MLP), ensemble learning/gradient boosting (Gradient Boost Tree + LR, Random Forest, ExtraTree , Ada Boost, XGBoost, LightGBM), PCA, FP-Growth, Word2Vec, DocGrowth ExtraTree , Ada Boost, XGBoost, LightGBM), PCA, FP-Growth, Word2Vec, Doc2Vec, collaborative filtering, Bayesian estimation, HMM models (hidden Markov models)

Statistical Analysis:

t-test, Chi-square test, F-test, binomial test, Kolmogorov-Smirnov test, Shapiro-Wilk test, sampling (MCMC, bootstrap method, etc.), analysis of variance, causal inference (difference in differences method, etc.)

◆Development Technology/Environment

Programming/Frameworks

R, Python, PyData (numpy, scipy, pandas, etc.), Streamlit

PyTorch, TensorFlow, LangChain, Spark (PySpark)

Cloud/on-premise (middleware)

SHIROKANE

GPU workstation

Google Cloud (GCS, BigQuery, VertexAI, Dataflow, etc.)

AWS (S3, Athena, EMR/Serverless, StepFunction, SageMaker, Bedrock, etc.)

MySQL, MariaDB, Percona Server, PostgreSQL, Galera Cluster, Oracle, Hive, Hadoop/HDFS

ConoHa (GPU server)

Large-scale language model (LLM) related

OpenAI API, Llama3, LangChain, HuggingFace

-------------【 Requirements】-------------

【Required】

Meet all of the following

・Experience in research that touches on machine learning and deep learning theory

・Deep knowledge of deep learning and generative AI theory in particular

・PhD in information science

・Knowledge of machine learning and deep learning in general

・Able to write in R or Python

【Preferred】

・Experience using machine learning/deep learning in real-world products or research to deliver results

【Ideal Applicants】

・Likes to consider all approaches to solving business problems and find the best way to do it, rather than just a method.

・Interested in anything, and able to challenge new technologies and new tasks with passion.

・Able to work as a team to achieve great results that cannot be done alone

・Critical thinking, not just relying on data and results

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【Working Time 】

9:00～18:00／10:00～19:00／11:00～20:00

【 Welfare 】

Defined contribution pension plan

Full social insurance (health insurance, welfare pension, defined benefit pension plan, unemployment insurance, workers' accident compensation insurance)

Employee Stock Ownership Plan

Welfare subsidy system (subsidies for sports clubs, English conversation, etc.)

Contracted recreational facilities

Commuting allowance (within tax exempt limit)

Car commuting system (only for Fukuoka work)

Condolence and sympathy payment

Childcare/nursing care leave and shortened working hours

Event subsidy system

System to receive a part of salary in bitcoin

Excellent welfare facilities

(24-hour free in-house cafe, massage room, nap space, day care center)

Enriched engineer support system

【 Holiday 】

• 2 days a week (Saturday and Sunday)
• Holidays
• Annual Paid Leave
• New Year Holiday
• Parental Leave
• Nursing Care Leave
• Sick Leave
• Bereavement Leave
• Refresh Leave
• Summer Holiday
• Others

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