- Bioinformatics Positions
- 正社員 / Full-time
Bioinformatician (Antibody Discovery & NGS)
AI / BIOINFO
[Job Summary]
We are looking for a versatile, mid-level Bioinformatician to join our growing team. This is a high-impact role where you will directly influence our drug discovery pipeline by transforming raw wet-lab screening data into therapeutic leads. As an early member of the computational team in a startup environment, you will be a "full-stack" contributor—responsible for both the technical execution of NGS pipelines and the strategic interpretation of emerging biotech trends.
[Key Responsibilities]
• NGS Data Execution: Execute and refine pipelines to process high-throughput sequencing data from various display platforms (Phage, Yeast, or B-cell screening).
• Candidate Discovery & Ranking: Identify and prioritize antibody leads by analyzing clonal enrichment, sequence diversity, and predicted "developability" (e.g., avoiding aggregation or immunogenicity).
• Cross-Functional Collaboration: Act as the primary bridge between data and the bench. You will partner closely with wet-lab scientists to interpret screening results and provide rapid feedback to iterate on experimental designs.
• Literature & Tech Scouting: Proactively perform literature surveys and technical "benchmarking" to keep the team informed on the latest developments in AI-driven antibody discovery and NGS methodology.
• Pipeline Evolution: Maintain and improve our Python-based codebase, ensuring it is flexible enough to incorporate new algorithms or public datasets as the field evolves.
| 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: Master’s degree or higher in Life Sciences, Bioinformatics, or a related field (or equivalent practical experience). • Experience: At least 4 years of research experience in bioinformatics, with a strong emphasis on protein sequence analysis. • Programming: High proficiency in Python and its data science ecosystem (pandas, NumPy, Biopython, Scikit-learn). • Communication: Exceptional ability to communicate complex computational findings to non-specialists. You should be comfortable presenting data to diverse teams and stakeholders. Strategic Thinking: A proven track record of staying up-to-date with academic and industry trends; ability to conduct independent research/surveys to solve novel biological problems. • Soft Skills & “Startup Fit” Adaptability: You thrive in a fast-paced environment where priorities can shift based on the latest lab results. • Collaboration: You are a proactive team player who values collective success over individual coding tasks. • Curiosity: You have a genuine passion for immunology and a desire to understand the “why” behind the data. |
| 歓迎要件 / Preferred Qualifications | • Published papers in computational biology conferences/journals. • Experience with 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 |
山形県・東京都・北海道・青森県・岩手県・宮城県・秋田県・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) |
