Principal Data Scientist/Non-Line Manager, Experimental Medicine Japan D&A
Shinagawa, Japan · On-site
Senior
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Senior Clinical Data Scientist/Staff/Experimental Medicine Japan D&A
Shinagawa, Japan · On-site
Senior
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Skills: Data Science, Statistical Analysis, Clinical Trial Design, Data Transformation, Data Storytelling
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Skills: Analog design, Mixed-signal design, PLL, Sigma-Delta ADCs, CMOS circuits
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Shinagawa, Japan · On-site
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Shinagawa, Japan · On-site
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Shinagawa, Japan · On-site
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Shinagawa, Japan · On-site
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GAIDOOR株式会社
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Security Engineer Manager - Product Development Division General Management Department ,Product Development Division, Rakuten Payment, Inc.
Shinagawa, Japan · On-site
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Full-time
bachelor degree, postgraduate degree
Posted 3d ago
~40 hrs/week
Responsibilities
Lead the design, transformation, and analysis of complex Phase I-IV clinical trials and real-world data to support the pharmaceutical drug lifecycle. Act as a Product Owner to deliver scientific insights and drive digital innovation across the organization.
Requirements
Requires a quantitative degree (PhD, MSc, or Bachelor's) with 3 to 7+ years of experience in the pharmaceutical industry or academia. Must possess advanced expertise in statistical methodology, programming, and clinical development leadership.
Full job description
Basic Purpose of the Job
Supports the complete clinical/pharmaceutical drug lifecycle process (research, development, market access, and market supply) through:
Strategic planning and execution
Data transformation
Descriptive analytics
Diagnostic analytics
Predictive analytics
Prescriptive analytics
Works with data from:
Clinical trials
Clinical registries
Real-world databases
Provides:
Analytics tools
Data outputs
Scientific insights and inference
May act as an ExpMED Product Owner up to the substance/asset level and represent ExpMED on data science-related matters.
Key Accountabilities
Data Science Leadership
Responsible for:
Leading and overseeing design, transformation, analysis and reporting for complex Phase I-IV clinical trials
Supporting complex international projects
Leading analysis of registry and real-world data
Delivering data science solutions aligned with specific project and asset needs
Success Measures
Quality deliverables
Timeline adherence
Feedback from development teams, Product Owners and capability managers
Innovation & Scientific Advancement
Stay current on developments in data science both within and outside BI
Convert insights into new data science approaches supporting:
Discovery
Clinical development
Regulatory registration
Manufacturing
Commercialization
Success Measures
Quality of innovative solutions
Adoption of new processes and tools
Stakeholder feedback
Data Storytelling & Communication
Present compelling, validated stories based on complex data science findings
Communicate effectively with scientific and non-scientific stakeholders
Success Measures
Quality and frequency of presentations
Audience understanding and feedback
Compliance & Data Quality
Ensure data transformation and analysis specifications are:
Complete
Accurate
SOP-compliant
GxP-compliant
Success Measures
Regulatory acceptance
Quality of specifications
Coaching & Knowledge Sharing
Guide and lead colleagues
Support internal customers and external partners
Promote knowledge sharing within the Clinical Data Science community
Success Measures
Feedback from colleagues
Increased knowledge sharing and capability development
Cross-Functional Leadership
Participate in BI cross-functional working groups
Lead One Human Pharma internal working groups
Participate in external industry working groups
Drive relevant data science initiatives
Success Measures
Quality of leadership
Business impact of working group outcomes
Feedback from Global Product Owners and Product Owners
Product Owner Responsibilities
Where applicable:
Support the clinical drug lifecycle process as an ExpMED Product Owner
Provide leadership at product, substance and asset level
Success Measures
Product quality
Leadership effectiveness
Timeline adherence
Stakeholder satisfaction
Collaboration & Digital Innovation
Promote cross-functional teamwork within ExpMED and across BI
Support innovative digital solutions
Drive predictive models and intelligent optimization approaches
Contribute to organization-wide innovation initiatives
Success Measures
Quality of collaboration
Frequency of innovative digital initiatives
Stakeholder feedback
Regulatory & Organizational Requirements
Must understand and implement:
Regulatory Requirements
International Good Clinical Practice (GCP)
Good Statistical Practice
ICH guidelines and regulations across all regions
Clinical Development Requirements
Statistical methodology guidance
Clinical development standards
Therapeutic Area-specific requirements
Internal Requirements
BI processes
Standard Operating Procedures (SOPs)
Clinical Development Plan requirements
Additional Requirements (where applicable)
Good Laboratory Practice (GLP)
Good Manufacturing Practice (GMP)
Job Complexity
Solves complex, defined problems
Has strategic impact across the clinical drug lifecycle
Considers the needs and requirements of multiple departments and stakeholders
Influences decision-making at a broader organizational level
Interfaces
Collaborates with:
GCO
GPV
Therapeutic Areas
TMCP
GRA
Research
Development
Pharma Supply
Represents BI regarding:
Clinical planning
Data transformation
Statistical analyses
Critical regulatory requests
Project and asset-level data science activities
Experience & Expertise
Required:
Data Science Expertise
Strong understanding and application of data science principles
Broad expertise in:
Planning analyses
Data transformation
Statistical analysis
Interpretation of results
Reporting
Technical Expertise
Broad knowledge and advanced experience in relevant programming/software languages
Clinical Development Expertise
Advanced understanding of the clinical drug development lifecycle
Strong understanding of clinical trial development
Leadership
Advanced project leadership experience required
Experience Requirements
PhD: 3+ years in pharmaceutical industry, CROs, regulatory authorities, or academia
MSc: 6+ years in pharmaceutical industry, CROs, regulatory authorities, or academia
Bachelor's Degree: 7+ years of data science experience
Deep subject matter expertise may partially compensate for experience requirements.
Job Impact
Responsible for:
Analysis of clinical drug lifecycle data
Delivering scientific insights to internal and external stakeholders
Independent decision-making related to data science activities
Translating data into business and scientific value
Results must be tailored to customer and stakeholder needs.
Education Requirements
Bachelor's, Master's or Doctoral degree in:
Statistics
Mathematics
Computer Science
Data Science
Psychology
Finance
Related quantitative disciplines
Required Capabilities
Statistical & Scientific Expertise
Thorough knowledge of statistical methodology
Strong understanding of experimental design and clinical trials
Understanding of terminology related to supported disease areas and assets
Experience processing clinical trial information
Advanced Analytics
In-depth understanding of advanced statistical concepts used in Data Science
Technical Skills
Advanced working knowledge of multiple relevant software/programming languages
Leadership & Training
Ability to lead and facilitate meetings
Ability to develop and deliver data science training
Strong project leadership capability
Communication
Fluent English (Read / Write / Speak)
Strong communication and presentation skills
Collaboration
Proven ability to work within global and remote teams
Strong stakeholder management skills
Effective collaboration with CROs, experts and management
Problem Solving
Proactively identify issues
Develop solutions
Interact independently with internal and external stakeholders on data science matters
Cultural Awareness
Effective communication across local and global cultures
Sensitivity to internal and external stakeholder needs
Quick Candidate Snapshot
PhD + 3 years, MSc + 6 years, or Bachelor's + 7 years of relevant Data Science experience
Strong statistical analysis and programming expertise
Experience with clinical trial, registry and/or real-world data
Strong understanding of pharmaceutical R&D and clinical development
Advanced project leadership experience
Experience driving innovation and digital transformation
Strong stakeholder management and data storytelling capabilities
Our people are our strength. And together with over 54,000 colleagues, we're creating the next breakthrough in the world of healthcare and innovation for both humans and animals. Are you ready to join us? #LifeForward
Privacy Notice: https://www.boehringer-ingelheim.com/privacy-notice
Imprint: https://www.boehringer-ingelheim.com/imprint
Offices: Binger Straße, Ingelheim am Rhein, Rhineland-Palatinate 55218, DE · 813, Cours du 3ème Millénaire, Saint-Priest, Auvergne-Rhône-Alpes 69800, FR · 900 Ridgebury Rd, Ridgefield, CT 06877, US · Birkendorfer Straße 65, Biberach an der Riß, Baden-Württemberg 88400, DE · Eski Buyukdere Caddesi, Uso Center No: 245 Kat 9,13,14,16, Istanbul, 34398, TR
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How many Technology jobs are open in Shinagawa, Japan right now?
There are currently 29 open technology positions in Shinagawa, Japan listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Shinagawa, Japan?
Companies currently hiring include Boehringer Ingelheim, Park Place Technologies, Publicis Groupe Holdings B.V., SiTime, Rakuten, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Shinagawa, Japan?
Yes — 6 of the 29 open technology positions offer remote or hybrid work (3 remote, 3 hybrid).
How do I apply for Technology jobs in Shinagawa, Japan?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.