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Data Scientist (Machine Learning &Bioinformatics)

CRAIF株式会社

テック　東京都　企業サイト　掲載 7/3

給与

記載なし※ 募集要項に金額の記載がありません

勤務地
東京都
雇用形態
契約社員
働き方
記載なし
年間休日
記載なし

完全週休2日

要約求人票をもとにAIがまとめたものです

This Data Scientist role focuses on omics data analysis, machine learning model development, and development and validation of new test systems. The role also involves collaborating with ML and software engineers to automate the model development-to-deployment cycle and developing new biomarker-based test methods.

応募資格

必須

  • English proficiency sufficient to work in an international team
  • Proficiency in at least one programming language (R, Python, Go, C++)
  • Experience in analyzing omics data, preferably RNA expression data
  • Foundational understanding of probability theory and statistics
  • Foundational understanding of statistical machine learning and pattern recognition
  • Experience developing ML models using frameworks such as scikit-learn, Keras, TensorFlow, PyTorch (especially supervised learning for classification problems)
  • Research or analysis experience in biology or related fields

歓迎

  • Basic Japanese language skills for casual communication with other team members.
  • Docker
  • Workflow management languages (Snakemake/Nextflow)
  • AWS cloud
  • Training on small-size datasets
  • Handling imbalanced data
  • Transcriptome analysis experience
  • Liquid biopsy knowledge/experience
  • microRNA knowledge
  • cfDNA knowledge
  • Foundational understanding of next-generation sequencing and quantitative PCR
  • Biological research/analysis experience
  • Wet lab experiment experience
  • Cancer biology/medical knowledge or analysis experience
  • Molecular diagnostics domain knowledge
  • Clinical application of machine learning knowledge/experience

求める人物像

  • The ideal candidate is someone who strongly aligns with the company’s mission and is proactive and undaunted by the unknown. They demonstrate leadership — thinking independently, involving others, and driving projects forward. They enjoy working in teams and producing results while respecting diversity, focusing on what truly matters regardless of age or title. They are motivated to solve social issues, possess strong hypothesis-building and abstract thinking skills, and are quick to test and validate ideas.

応募について

  • Japanese NOT required
  • Japanese is not required for this position.

募集要項最終確認 9/24

職種
データサイエンティスト
雇用形態
契約社員6-month probation (fixed-term), converting to permanent employment after
給与
記載なし
給与の詳細
応相談 Negotiable; annual salary system; transportation costs fully covered in principle; raises twice per year
手当
transportation costslong-term business trip allowance
勤務地
162-0814 8-30 Shin-Ogawa-cho, Shinjuku-ku, THE PORTAL Iidabashi B1F464-0814 1 Furo-cho, Chikusa-ku, NIC Bldg. Room 714
働き方
記載なし
勤務時間
9:00–18:00 (adjustable per individual contract)
休日・休暇
Full 2-day weekends (Sat/Sun), national holidaysUp to 5 days special paid leave upon joiningpartnership leave (up to 5 days)
福利厚生
U.S.-style stock option programteam-building initiativesregular 1-on-1s with mentortraining programs (business to R&D)company-wide OKR goal management
社会保険
Social insurance, employment insurance, workers’ comp — all as required by law
受動喫煙対策
No smoking indoors
掲載日
2026/07/03 22:21（88日前）
最終確認
2026/09/24 18:00（5日前）

仕事内容

Recruitment Background & Career Path

Advanced data science expertise spanning both machine learning and biology is essential for improving the accuracy of testing systems like miSignal and developing new methods.

This position seeks someone who can lead omics data analysis and new test system development, driving the creation of clinically valuable models.

In the future, this role can grow into a core R&D career involving architecture design for the entire ML pipeline and planning of new tests.

Job Description

Japanese is not required for this position. The entire Analytics team operates in English.

Test System Development & Updates

Research design

Analyzing biomolecular data (miRNA, etc.) obtained using Craif’s technology for disease differentiation, biomarker selection, and other medical applications

Publishing research results through academic papers and conference presentations

Building machine learning models

Setting quality standards and accuracy controls

Designing and conducting analytical and clinical validation of test systems

ML Pipeline Automation & Advancement

Collaborating with ML engineers and software engineers to automate the cycle from model development to deployment

New Method Development

Developing new methods for biomarker-based test systems

この求人はCRAIF株式会社の採用ページの掲載内容をもとに構成しています。応募条件の最新情報は募集元をご確認ください。

東京都のデータサイエンティストの求人185件

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