Senior Clinical Data Scientist Job at Novo Nordisk Bangalore

Exciting pharma jobs opportunity for experienced professionals! Novo Nordisk is hiring a Senior Clinical Data Scientist in Bangalore. This is a great chance for candidates seeking pharmaceutical careers in India with a global leader in diabetes and chronic disease research.

About the Company

Novo Nordisk is a world-renowned Danish pharmaceutical company with over 100 years of excellence in defeating serious chronic diseases.

Known for innovation, regulatory compliance, and cutting-edge Research & Development, the company operates globally with a strong presence in India through its Global Business Services (GBS) center in Bangalore. It combines advanced AI tools, human data, and scientific curiosity to deliver life-changing therapies while maintaining the highest standards of quality and patient safety.

Job Details

• Company Name: Novo Nordisk
• Experience: 3-5 years of statistical programming experience (preferably 1 year in pharmaceutical industry)
• Qualification: Bachelor’s or Master’s degree in Life Sciences, Natural Sciences, Engineering, or equivalent
• Location: Bangalore, Karnataka, India
• Work Type: On-site

Job Description

Novo Nordisk is looking for a talented Senior Clinical Data Scientist to join its Clinical Data Science team in Bangalore. This role plays a critical operational role within trial squads, bridging complex data programming with clinical development to support groundbreaking therapies for chronic diseases.

Position Title: Senior Clinical Data Scientist

• Department: Bangalore R&D – Clinical Data Science
• Market: Global Business Services (GBS) India
• Role: Operational partner in clinical trials focusing on data science, statistical programming, and regulatory submissions
• Experience: 3-5 years
• Education/Qualification: Bachelor’s/Master’s in Life Sciences, Natural Sciences, Engineering or equivalent

Skills/Qualifications

• Strong expertise in SAS or R programming for clinical trial reporting, analysis, and data handling
• Solid understanding of SDTM and ADaM standards, eCRF design, Data Flow Plans, and Blinding Plans
• Knowledge of drug development processes, clinical database technologies, and GxP guidelines
• Experience in program review, documentation, and submission package preparation
• Excellent planning, coordination, and stakeholder management skills
• Outstanding written and spoken English communication with cross-cultural collaboration experience
• Self-driven, analytical thinker with problem-solving mindset and ability to manage multiple priorities

Key Responsibilities

• Lead clinical data science setup for trials including eCRF and blinding plans
• Ensure quality of SDTM/ADaM deliverables and TFL generation
• Review protocols and Statistical Analysis Plans
• Coordinate with CROs and vendors for smooth trial execution
• Contribute to regulatory documents like Risk Management Plans and Investigator’s Brochures
• Facilitate knowledge sharing sessions post-submission
• Drive process improvements and present at global forums

Benefits/Perks

• Opportunity to work on innovative global clinical projects
• Strong focus on continuous learning and professional development
• Exposure to international standards and cross-functional collaboration
• Inclusive work culture with emphasis on diversity and mutual respect
• Long-term career growth in a purpose-driven organization
• Competitive compensation and benefits package

How to Apply

Interested candidates can apply directly through the Novo Nordisk career portal. Upload your updated CV and follow the application instructions on their official website.

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Deadline: Applications are invited on a rolling basis. Apply promptly.

Why You Should Join

Joining Novo Nordisk means becoming part of a legacy that has improved millions of lives worldwide. The company offers exceptional pharmaceutical careers in India with a perfect blend of scientific innovation, operational excellence, and long-term stability. You’ll work in a collaborative environment that values fresh ideas, continuous learning, and meaningful impact on global healthcare.

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