Bioinformatics AI Specialist (Mid - Senior level)
Bioinformatics AI Specialist (Mid - Senior level)
雇用形態:
正社員
職種:
データ分析
言語:
English Level - Advanced (TOEIC 860),Japanese Level - None
勤務地:
Minato-ku
給与:
¥12,000,000.00 - ¥30,000,000.00 年収
求人ID:
487892
A HealthTech firm is looking for a Bioinformatics AI Specialist (Mid - Senior level). The ideal candidate will be an energetic and ambitious candidate who can thrive in a fast-paced, bootstrap environment and who is motivated to take leadership responsibility as a future CTO. The role involves contributing expertise in PBPK, PK/PD, and QSP modeling to develop a unified Large Quantitative Model for drug discovery and health applications.
Responsibilities:
- Design and develop PBPK and PK/PD models using preclinical and clinical data to support drug discovery and health applications
- Apply QSP frameworks to integrate mechanistic biology and disease networks into unified large-scale models
- Integrate multi-omics data with chemical and biological databases (e.g., ChEMBL, UniProt, Cell Surface Atlas) to enhance predictive modeling
- Utilize chemoinformatics techniques for ADMET prediction, QSAR modeling, and drug–target interaction analysis
- Incorporate protein structure modeling (e.g., AlphaFold, molecular docking) into multi-level pharmacological simulations
- Ensure regulatory compliance by aligning with FDA submission standards and applying V&V 40 model validation practices
- Work with commercial platforms such as Simcyp, GastroPlus, and Simulation Plus to build and refine PBPK/PKPD/QSP models
- Develop scalable pipelines to process and analyze large biological and molecular datasets
- Apply machine learning techniques (including generative models, embeddings, and AutoML) to optimize model performance and reliability
- Leverage distributed computing tools (e.g., Spark, Ray, Dask) to enhance computational efficiency
- Use Python-based ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face) for AI model development
- Deploy AI agents to streamline development workflows and explore their use across business functions such as UX, operations, and administration
Required Skills:
- Proven experience developing and scaling PBPK and PK/PD models across species using preclinical and clinical data
- Solid understanding of QSP frameworks for integrating mechanistic biology with disease networks
- Experience integrating omics data with molecular libraries (e.g., ChEMBL, PubChem, UniProt) for multi-scale modeling
- Familiarity with chemoinformatics workflows for ADMET, ligand similarity, drug-target modeling, and QSAR
- Knowledge of protein structure modeling tools (e.g., AlphaFold, RFdiffusion, docking) in pharmacological modeling
- Understanding of FDA regulations for PBPK/PKPD submissions and V&V 40 standards for model validation
- Hands-on use of platforms like Simcyp, GastroPlus, or Simulation Plus
- Experience handling large-scale biological or molecular datasets (multi-terabyte scale)
- Strong foundation in statistics, dimensionality reduction, and multi-modal data fusion
- Proficiency with distributed computing tools (e.g., Spark, Dask, Ray)
- Expertise in machine learning (supervised/unsupervised), generative models, and AutoML
- Skilled in Python ML/DL tools such as PyTorch, TensorFlow, scikit-learn, and Hugging Face
- Experience deploying AI agents to enhance workflows and performance across development and business operations
Why should you apply:
- Join a company with a bold mission to elevate humanity through the fusion of AI, biotechnology, and human augmentation.
- Receive near-zero-cost, founding-level stock options with significant upside potential. The company also offers liquidity opportunities at each funding round — a rare and valuable benefit in early-stage startups
- Engage in cross-disciplinary innovation involving scRNA-seq, spatial transcriptomics, PBPK/PD modeling, large-scale ML/DL, and chatbot development. This is a unique opportunity to grow your expertise across multiple frontier technologies.
Company Overview:
A HealthTech, Biotech firm focused on leveraging clinical pharmaceutical data and big data to revolutionize drug development and health monitoring. Its focus is on a build an easy-to-use chatbot that can perform complex large quantitative modelling. Specifically, it will develop a next-generation PBPK/PD simulator that combines massive scientific & mathematical datasets with machine learning, deep learning, and natural language processing. The firm has already formed research partnership with Japanese university and labs and is targetting both Japan and US market, which is why frequent travel to US is expected. The CEO has a strong engineering mindset, so the working style is highly flexible — including options for remote work, flexible hours, and minimal constraints.
Working Hours: 9:00 – 18:00 (Mon-Fri) / Fully Flex Time
Working Style: Work in office / Remote work *flexible
Holidays: Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays.
Services/Benefits: Social Insurance, Founding-level stock options (near-zero cost) with high upside potential, Stock monetization opportunities at each funding round, Comprehensive relocation support to Japan (visa, moving, housing, tax support, bilingual staff assistance)
Interview Process : 2-4 times
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