Data Scientist – Pharma Analytics
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Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
Position
Data Scientist Pharmaceutical Analytics
Domain: Life Sciences / Pharmaceutical Analytics
Employment Type: Full-Time
Company: Global Business & Technology Consulting Firm
Role Overview
This position is designed for an experienced data science professional specializing in Japans pharmaceutical and healthcare data landscape. You will support both domestic and multinational life sciences clients by delivering advanced analytics commercial insights and data-driven strategies.
The role requires strong client-facing capabilities in-depth knowledge of Japan-specific pharmaceutical data sources and the ability to translate business requirements into scalable technical analytics solutions.
Key Responsibilities
Serve as a subject matter expert on Japans pharmaceutical and healthcare data ecosystem supporting complex commercial analytics and sales reporting initiatives
Engage directly with life sciences clients to understand business challenges and convert them into actionable data science and analytics solutions
Analyze and interpret data from both global and domestic sources including IQVIA Veeva Snowflake JDNet JMDC Medical Data Vision (MDV) and Nihon Ultmarc ensuring alignment with Japan-specific hierarchical data structures
Act as a bilingual liaison between Japanese clients and offshore technical delivery teams
Contribute to the development of analytics strategies data pipelines and machine learning models in areas such as:
Commercial performance optimization
Patient journey analytics
Real-World Evidence (RWE) research
Mentor junior team members and contribute to internal knowledge development within the data and analytics practice
Required Qualifications
Professional Experience
Minimum of 5 years of experience in data science and analytics (10 years preferred)
Strong background in the pharmaceutical or healthcare industry in Japan
Consulting experience is highly desirable
Demonstrated experience working with Japan-specific pharmaceutical data vendors and datasets
Technical Expertise
In-depth familiarity with Japan healthcare data sources such as JDNet Ultmarc IQVIA Veeva JMDC and MDV
Proficiency in analytics and programming tools including Qlik Python R and SQL
Experience with cloud platforms such as Microsoft Azure AWS or Google Cloud Platform is advantageous
Strong analytical thinking and problem-solving skills including the ability to resolve complex data challenges
Language Requirements
Japanese: Native-level fluency (native JLPT N1 or equivalent)
English: Business-level proficiency preferred
Working Style
Ability to operate effectively across various client environments including remote hybrid and on-site settings
Strong collaboration skills and a commitment to team and client success
Education
Bachelors or Masters degree in a quantitative discipline such as:
Data Science
Statistics
Computer Science
Life Sciences
Public Health
Related quantitative fields
Relevant certifications in data science cloud technologies or pharmaceutical analytics are considered a plus.
Leadership Expectations (Grade Level)
At this level the role includes leadership and oversight responsibilities including:
Managing and mentoring teams of data engineers and analysts
Leading analytics and data engineering initiatives
Ensuring high standards of technical quality and data integrity
Collaborating with stakeholders to deliver scalable reliable and business-aligned data solutions
Company Overview
This organization is a global consulting and technology services firm that supports enterprises in accelerating digital and sustainable transformation initiatives. With decades of experience and a strong international presence the company provides end-to-end services spanning strategy technology implementation engineering and business operations.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
