Recruit Detail
Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.
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.