14件のjpcでのsenior data scientistのおすすめの求人

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- AWS
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- 年収 600万円 ~ 1,000万円
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- 機械学習
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- 博士号
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- 医学
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- 博士号
- 修士号
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【Data Science 】データサイエンスコンサルタント日本語必須
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Senior Clinical Data Scientist/Staff/Experimental Medicine Japan D&A

NBI(Nippon Boehringer Ingelheim Co., Ltd.) -
品川区大崎

今すぐ応募する

求人の詳細

2日前

資格とスキル

修士号
大卒
POS

仕事内容の詳細

Basic Purpose of the Job

Supports the complete clinical/pharmaceutical drug lifecycle process (research, development, market access, and market supply) by providing:

Strategic planning and execution
Data transformation
Descriptive analytics
Diagnostic analytics
Predictive analytics
Prescriptive analytics

Work involves data from:

Clinical trials
Clinical registries
Real-world databases

Responsibilities include providing:

Analytics tools
Data outputs
Scientific inference and insights

May also:

Act as an ExpMED Product Owner at the project/asset level
Represent ExpMED regarding data science-related activities on projects and assets

Key Accountabilities

1. Data Transformation, Analysis & Reporting

Responsible for:

Transforming, analyzing and reporting data from Phase I-IV clinical trials
Supporting complex clinical studies and projects
Analyzing data from registries and real-world databases
Delivering analytics aligned with project and asset needs

Success Measures

Quality deliverables
Timeline adherence
Feedback from development teams, Product Owners (POs), and capability managers

2. Innovation in Data Science

Stay current with developments in data science
Explore new transformation and analytical approaches
Introduce innovative tools and processes inside and outside BI

Success Measures

Quality of new analytical solutions
Innovation impact
Stakeholder feedback

3. Data Storytelling & Communication

Present compelling, validated data science stories
Explain data science concepts to stakeholders with limited technical backgrounds
Communicate insights clearly across BI

Success Measures

Quality and frequency of presentations
Audience understanding and feedback

4. Specifications & Compliance

Ensure data transformation and analysis specifications are:
- Complete
- Correct
- SOP-compliant
- GxP-compliant

Success Measures

Quality and regulatory acceptance of specifications

5. Internal & External Support

Support colleagues
Support internal customers
Support external providers on data science activities

Success Measures

Stakeholder satisfaction
Knowledge sharing within the CDS Community of Practice

6. Cross-Functional Leadership

Participate in One Human Pharma working groups
Lead ExpMED working groups when applicable
Drive data science-related initiatives

Success Measures

Quality of participation
Leadership effectiveness
Impact of working group outcomes
Feedback from Global Product Owners and Product Owners

7. Product Owner Responsibilities (If Applicable)

Support clinical drug lifecycle activities as an ExpMED Product Owner

Success Measures

Product deliverable quality
Leadership effectiveness
Timeline adherence
Stakeholder feedback

8. Cross-Functional Collaboration

Foster team-based working within ExpMED
Collaborate with neighboring functions across BI
Perform cross-functional activities when required

Success Measures

Quality and frequency of collaboration
Stakeholder feedback

Regulatory & Organizational Requirements

Must understand and implement:

International Regulations

Good Clinical Practice (GCP)
Good Statistical Practice
ICH regulations across all regions

Clinical Development Guidelines

Clinical development methodologies
Statistical methodologies
Therapeutic Area-specific development requirements

Internal Requirements

BI processes
Standard Operating Procedures (SOPs)
Clinical Development Plan requirements

Additional Regulations (when applicable)

Good Laboratory Practice (GLP)
Good Manufacturing Practice (GMP)

Job Complexity

Solves complex but defined problems
Mainly operational with limited strategic impact
Must consider requirements across multiple functions and departments

Interfaces

Works closely with teams across BI, including:

GCO
GPV
Therapeutic Areas
TMCP
GRA
Research
Development
Pharma Supply

Represents BI regarding:

Statistical planning
Data transformation
Data analysis
Regulatory requests related to trials, projects and assets

Job Expertise

Required expertise includes:

Data Science

Understanding and application of key data science principles
Advanced capability in:
- Planning analyses
- Data transformation
- Statistical analysis
- Interpretation of results
- Reporting

Technical

Advanced experience with software programming languages relevant to business needs

Industry & Clinical Development

Advanced understanding of the clinical drug development lifecycle
Clinical trial development experience

Leadership

Project leadership experience required

Experience Requirements

Master's Degree (MSc):

Minimum 3 years experience in:
- Pharmaceutical industry
- CROs
- Regulatory authorities
- Academic institutions

Bachelor's Degree:

Minimum 5 years of data science experience

Relevant deep expertise may partially compensate for years of experience.

Job Impact

Responsible for:

Analysis of clinical drug lifecycle data at BI
Communication of results to internal and external customers
Independent decision-making related to analytical activities
Delivering insights adapted to customer needs

Education Requirements

Bachelor of Science (BSc) or Master of Science (MSc) in:

Statistics
Mathematics
Computer Science
Data Science
Psychology
Finance
Related quantitative disciplines

Required Capabilities

Statistical & Scientific Knowledge

Strong statistical methodology knowledge
Experimental design knowledge
Clinical trial design knowledge
Understanding of clinical trial terminology
Knowledge of information processing in clinical development

Advanced Analytics

Understanding of advanced statistical concepts used in Data Science

Technical Skills

Proficient use of relevant programming/software languages

Communication

Fluent English (Read / Write / Speak)
Strong communication and presentation skills

Leadership

Ability to lead and facilitate meetings
Project leadership capability

Collaboration

Strong teamwork
Experience working globally and remotely
Effective stakeholder management

Interpersonal Skills

Ability to interact with:
- CROs
- External experts
- Management
- Internal stakeholders

Problem Solving

Proactively identify issues
Propose solutions
Work independently on routine data science challenges

Cultural Awareness

Awareness of local, global, internal and external cultures to ensure effective communication and collaboration

Quick Candidate Snapshot

Ideal profile:

MSc + 3 years (or BSc + 5 years) in Data Science, Biostatistics, Clinical Analytics, or a related field
Strong statistical analysis and programming skills
Experience analyzing clinical trial, registry, or real-world data
Understanding of clinical development and pharmaceutical R&D
Experience with stakeholder communication and data storytelling
Project leadership experience
Fluent English
Able to translate complex data into business and scientific insights

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jpcでのsenior data scientistの新着求人をメールで受け取る

Basic Purpose of the Job

Key Accountabilities

1. Data Transformation, Analysis & Reporting

Success Measures

2. Innovation in Data Science

Success Measures

3. Data Storytelling & Communication

Success Measures

4. Specifications & Compliance

Success Measures

5. Internal & External Support

Success Measures

6. Cross-Functional Leadership

Success Measures

7. Product Owner Responsibilities (If Applicable)

Success Measures

8. Cross-Functional Collaboration

Success Measures

Regulatory & Organizational Requirements

International Regulations

Clinical Development Guidelines

Internal Requirements

Additional Regulations (when applicable)

Job Complexity

Interfaces

Job Expertise

Data Science

Technical

Industry & Clinical Development

Leadership

Experience Requirements

Job Impact

Education Requirements

Required Capabilities

Statistical & Scientific Knowledge

Advanced Analytics

Technical Skills

Communication

Leadership

Collaboration

Interpersonal Skills

Problem Solving

Cultural Awareness

Quick Candidate Snapshot