- AI Positions
- 正社員 / Full-time
AI Researcher
AI / BIOINFO
[ 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.
[ Key Responsibilities ]
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 other 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.
| 採用情報 | |
|---|---|
| 定員 | 1 名 |
| 勤務時間 | [Working hours] • Flexible working hours (discretionary system) |
| 想定給与 | • Commensurate with experience. |
| 休日・休暇 | [Holidays / Leave] • Weekends (Saturday and Sunday) and Japanese national holidays • Paid annual leave: 10 days in the first year (prorated based on the month of joining) • Refresh leave: 5 days per year |
| 必須要件 / Required Qualifications | • 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. |
| 歓迎要件 / 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. |
| 必要言語・レベル / Required Languages & Proficiency Level | • Business level / Fluent English |
| 歓迎言語・レベル / Preferred Languages & Proficiency Level | • Conversational Japanese |
| 待遇・福利厚生 / What We Offer | • Competitive salary and stock option package in a fast-growing startup. • Opportunity to make a significant impact on human health and drug development. • A collaborative, mission-driven, and intellectually stimulating work environment. |
| リモート・国際環境 / Remote & Multinational Team | We operate as a fully remote organization, enabling us to recruit the best talent globally. We prioritize flexibility, trust, and output over physical location. • Global Collaboration: You will be an integral part of a multinational team, collaborating daily with colleagues, partners, and stakeholders across time zones in Europe and Asia. • Asynchronous Communication: We champion asynchronous communication practices (using tools like Slack, Notion, and email) to ensure deep work periods and accommodate various schedules. Real-time meetings are used judiciously. • Tool Proficiency: A high degree of comfort and proficiency with digital collaboration tools (e.g., video conferencing, shared code repositories, project management software) is essential for successful remote execution. • Autonomy & Ownership: This role requires exceptional self-discipline, autonomy, and proactive ownership. You will be expected to manage your schedule, deliver results independently, and contribute actively to team goals without direct daily supervision. • Cultural Fluency: An appreciation for and sensitivity to diverse cultural backgrounds and communication styles is vital for maintaining a strong, inclusive global team dynamic. |
| 勤務地 |
東京都・北海道・青森県・岩手県・宮城県・秋田県・山形県・福島県・茨城県・栃木県・群馬県・埼玉県・千葉県・神奈川県・新潟県・富山県・石川県・福井県・山梨県・長野県・岐阜県・静岡県・愛知県・三重県・滋賀県・京都府・大阪府・兵庫県・奈良県・和歌山県・鳥取県・島根県・岡山県・広島県・山口県・徳島県・香川県・愛媛県・高知県・福岡県・佐賀県・長崎県・熊本県・大分県・宮崎県・鹿児島県・沖縄県・海外 Full remote work available (Asia–Europe time zones only) |
| 募集拠点 |
AI / BIOINFO 東京都目黒区 |
| 企業情報 | |
|---|---|
| 称号 / Company Name | 株式会社MOLCURE ( MOLCURE Inc.) |
| 所在地 / Address | 本社： 〒212-0032 神奈川県川崎市幸区新川崎7−7 AIRBIC ELSIオフィス： 〒152-8550 東京都目黒区大岡山2−12−1 石川台8号館106号室 バイオラボ： 〒997-0052 山形県鶴岡市覚岸寺字水上246−2 Head Office: AIRBIC, 7−7 Shinkawasaki, Saiwai, Kawasaki, Kanagawa 212-0032, Japan ELSI Office: Room 106, Ishikawadai Bldg. 8, 2-12-1 Ookayama, Meguro, Tokyo 152-8550, Japan Bio Lab : 246-2 Kakuganji-Mizukami, Tsuruoka, Yamagata 997-0052, Japan |
| 役員 / Executives | 代表取締役CEO/CSO：玉木 聡志 (Satoshi Tamaki Ph.D.) 取締役CIO / Founder：小川 隆 (Ryu Ogawa Ph.D.) |
| 設立年月 / Founded | 2013年5月 (May, 2013) |
