Data Science Consultant - Precision Medicine

契約タイプ Permanent
給料
参照番号 55171

Overview

We are seeking a Data Science Consultant specializing in Precision Medicine to join a growing team supporting advanced data-driven research in the biopharmaceutical industry. In this role, you will help partners across the drug R&D continuum realize the potential of precision medicine by leveraging complex clinical, phenotypic, molecular, and imaging datasets. You will apply your scientific and technical expertise to address real-world challenges in modern therapeutic development.

This position sits within the Customer Success organization in Tokyo and reports to the local team lead.

Key Responsibilities

  • Serve as the scientific lead on software implementation projects, providing consulting, workflow analysis, and solution design.

  • Plan, execute, and deliver data science projects, ensuring high-quality analytical results and clear presentations for clients.

  • Develop and maintain strong scientific and technical relationships with customers as their primary point of contact.

  • Partner closely with the commercial team to identify new opportunities and support business growth.

  • Share customer insights and domain expertise with internal teams, including Sales, Product Management, and Software Development.

Required Qualifications

  • Master’s degree or PhD in Bioinformatics, Data Science, Health Sciences, or a related field, with a strong foundation in both computational and life science disciplines.

  • Hands-on experience working with multi-omics, biomarker, imaging, and clinical datasets, ideally within the biopharma environment.

  • Proficiency in scripting languages such as Python or R.

  • Demonstrated project management and delivery skills, with the ability to meet deadlines and uphold high analytical standards.

  • Native-level or N1 Japanese, plus business-level English.

  • Willingness to travel occasionally, including international trips.

Preferred Experience

  • Familiarity with biopharmaceutical R&D workflows.

  • Experience with interactive data visualization tools (e.g., R Shiny, Python Dash).

  • Prior involvement in identifying or developing new business opportunities alongside commercial teams.