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Company Name

MOLCURE Co., Ltd.

Job Type

AI Customer

Work Detail

[AI Scientist Job Description] Join our innovative biotech startup focused on leveraging artificial intelligence to accelerate drug discovery and development. We're seeking a highly motivated and skilled AI Scientist to design, implement, and deploy cutting-edge machine learning and deep learning models on complex biological data. [What You Will Do] The AI ​​Scientist will be a core member of our interdisciplinary team, responsible for: • Model Development: Design, train, optimize, and validate machine learning (ML) and deep learning (DL) models for tasks such as predicting drug-target interactions, analyzing genomics/proteomics data, virtual screening of compounds, and modeling biological pathways. • Algorithm Research: Stay abreast of the latest advancements in AI/ML research and apply novel algorithms to solve challenging problems unique to the biotech domain. • Pipeline Implementation: Develop scalable and reproducible computational pipelines for model training, evaluation, and deployment within our cloud infrastructure. • Collaboration: Work closely with biologists, bioinformaticians and others AI scientists to translate biological questions into measurable AI problems and integrate AI solutions into the discovery process. • Communication: Clearly communicate complex results, model limitations, and insights to both technical and non-technical stakeholders.

Ideal Profile

What We Are Looking For (Required) • Education: PhD or Master's degree in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field with a strong focus on Machine Learning/AI. • Technical Proficiency: - High-level programming skills in Python and experience with core ML/DL libraries (e.g., PyTorch). - Proven experience in applying advanced ML techniques (transformers, graph neural networks, few-shot learning, latent space optimization) to real-world problems. - Familiarity with cloud computing environments (e.g., AWS) and containerization (e.g., Docker). • Statistical Skills: Excellent command of statistical methods, experimental design, and model evaluation metrics. • Good communication. • Scientific mindset. Preferred Qualifications • Published papers in top-tier AI/ML or computational biology conferences/journals. • Experience with Generative AI models for molecule or protein design. • Experience in a biotech or pharmaceutical R&D setting. Required Languages ​​& Proficiency Level • Business level / Fluent English Preferred Languages ​​& Proficiency Level • Conversational Japanese

What we especially look for in a PhD or postdoctoral fellow

• Education: PhD or Master's degree in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field with a strong focus on Machine Learning/AI.

Work Location

Full remote work available (Asia–Europe time zones only) Meguro Ward, Tokyo

Phd. Stating Salary

• Commensurate with experience.

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2025年卒