• Full-time

Publication date: 2026.03.23

[AI x Bio] Bioinformatician (Antibody Discovery & NGS) (13721)

  • R&D / Engineer /Technician (Pharmaceuticals, Healthcare, Biotechnology)
  • Full remote work
  • Salary ¥3M - ¥7M
[AI x Bio] Bioinformatician (Antibody Discovery & NGS) (13721)
職種Position R&D / Engineer /Technician (Pharmaceuticals, Healthcare, Biotechnology)
会社概要Company profile ■ Company profile
This bio company with a unique high-performance antibody drug development platform makes full use of next-generation sequencing, bioinformatics, and antibody engineering.
By developing high-performance antibody drugs, they have eliminated the inherent bias of conventional methods, created high-performance antibodies that were difficult to obtain until now, and contributed to the development of innovative antibody drugs.

■ Products / Solutions
・ New peptide / antibody drug molecule design technology using evolutionary molecular engineering / NGS / artificial intelligence
・ Construction of joint R & D pipeline with pharmaceutical companies and biotech companies using the above technology (including implementation of molecular design, research plan formulation, consulting)
仕事内容Job description [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.
応募資格Requirement [ 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.

[ Preferred Qualifications ]
• Published papers in computational biology conferences/journals.
• Experience with molecule or protein design.
• Experience in a biotech or pharmaceutical R&D setting.
日本語力Japanese level None
雇用形態Employment type Full-time
勤務エリアLocation Full remote work
勤務時間Working hours Flexible working hours (discretionary system)
想定年収Salary ¥3M - ¥7M
条件・待遇Condition [ 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.

[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

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.
選考についてProcess Documents required for application: Japanese or English resume
Online interview: Available
Interview language: English or Japanese
Number of interviews (flow): 3-4 times
Application for overseas residents: Unavailable
* May change depending on the situation of the candidate
Comments from United World
TOP