Associate Director, Technology & Scientific Computing

Novartis ACC

Kolkata District

On-site

INR 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

Novartis seeks a highly experienced Lead Business Analyst with pharmaceutical domain expertise and advanced R programming skills to support a global engagement.

You will lead interface between stakeholders, biostatisticians, and technical teams, translating needs into specs and driving end-to-end analytics solutions including Shiny dashboards; ensuring regulatory compliance and audit readiness.

Qualifications

  • 14+ years of analytics, statistical programming, or software development in pharma or clinical research.
  • Advanced R programming for data manipulation, modelling and visualization.
  • Shiny for interactive dashboards and web applications.
  • Experience with Posit tools (Workbench, Connect, Package Manager) or equivalent.
  • Expertise in statistical computing and analytics solution design.
  • R package development and familiarity with CRAN/Bioconductor libraries.
  • Proficiency in SQL and relational databases; Git version control and release coordination.

Responsibilities

  • Act as the primary interface between business stakeholders, biostatisticians, statistical programmers, and technical teams.
  • Lead requirement gathering workshops and translate clinical/statistical needs into structured functional and technical specifications.
  • Ensure alignment between analysis plans, reporting outputs, and system implementation.
  • Drive end-to-end requirement traceability across development, validation, and deployment phases.
  • Oversee design and delivery of scalable R-based analytics applications and Shiny dashboards.
  • Ensure regulatory compliance, audit readiness, and adherence to documentation and governance standards.
  • Provide structured updates on progress, risks, dependencies, and mitigation plans.

Skills

R programming
Shiny dashboards
SQL
Git version control
Pharma domain
Requirement gathering
Stakeholder management
APIs integration
Statistical modelling
R package development

Tools

Posit platform tools

Job description

Summary

We are seeking a highly experienced Lead Business Analyst with strong pharmaceutical domain expertise and deep R programming capabilities to support a global pharmaceutical engagement.

We are seeking a highly experienced Lead Business Analyst with strong pharmaceutical domain expertise and deep R programming capabilities to support a global pharmaceutical engagement.

About The Role
Key Responsibilities
  • Act as the primary interface between business stakeholders, biostatisticians, statistical programmers, and technical teams.
  • Lead requirement gathering workshops and translate clinical/statistical needs into structured functional and technical specifications.
  • Ensure alignment between Statistical Analysis Plans, reporting outputs (TLFs), and system implementation.
  • Drive end-to-end requirement traceability across development, validation, and deployment phases.
  • Oversee design and delivery of scalable R-based analytics applications and Shiny dashboards.
  • Ensure regulatory compliance, audit readiness, and adherence to documentation and governance standards.
  • Provide structured updates on progress, risks, dependencies, and mitigation plans.
Minimum Requirements
  • 14+ years of experience in analytics, statistical programming, or software development. Proven experience in pharmaceutical or clinical research domain engagements.
  • Advanced R programming (data manipulation, statistical modelling, visualization).
  • Strong experience with Shiny for interactive dashboards and web applications.
  • Experience with Posit platform tools (Workbench, Connect, Package Manager) or equivalent.
  • Expertise in statistical computing and analytics solution design.
  • R package development and familiarity with CRAN/Bioconductor libraries.
  • Proficiency in SQL and relational databases. Strong understanding of Git version control (branching strategy, pull requests, release coordination).
  • Experience integrating R with enterprise systems, APIs
  • Strong understanding of clinical trial lifecycle
Why Novartis

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards

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Read our handbook (PDF 30 MB) .

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