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Associate Director, Technology & Scientific Computing

Novartis
14+ years
Not Disclosed
Hyderabad
10 May 29, 2026
Job Description
Job Type: Full Time Hybrid Remote Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, mRS and EQ-5D-5L., Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Associate Director – Technology & Scientific Computing

Job ID: REQ-10078446
Date: May 26, 2026
Location: India (Hyderabad Office) / Remote (Northern Ireland option)
Company: Novartis Healthcare Private Limited
Division: Development (Research & Development)


Job Overview

This role is a senior leadership position acting as the primary interface between business stakeholders, biostatisticians, statistical programmers, and technical delivery teams. It focuses on translating clinical and statistical requirements into scalable R-based analytics platforms, automation workflows, and enterprise reporting solutions.

The role requires deep pharmaceutical domain expertise, strong leadership capability, and advanced technical skills in R programming, statistical computing, and clinical trial analytics.


Key Responsibilities

A. Stakeholder Management & Requirements Engineering

  • Act as the primary interface between business, biostatistics, programming, and technical teams

  • Lead requirement-gathering workshops with cross-functional stakeholders

  • Translate clinical, statistical, and operational needs into functional and technical specifications

  • Ensure alignment between Statistical Analysis Plans (SAPs), TLF outputs, and system implementation

  • Maintain requirement traceability across development, validation, and deployment phases


B. Solution Design & Analytics Development

  • Design and deliver scalable R-based analytics applications

  • Develop and maintain interactive dashboards using Shiny

  • Build enterprise-grade reporting and automation workflows

  • Integrate statistical computing solutions into business processes


C. Data, Programming & Technical Expertise

  • Advanced programming in R (data manipulation, visualization, statistical modelling)

  • Develop R packages and work with CRAN/Bioconductor ecosystems

  • Use SQL for data extraction and relational database management

  • Integrate R solutions with enterprise systems and APIs

  • Apply Git for version control (branching, PRs, releases)


D. Clinical & Statistical Domain Alignment

  • Strong understanding of clinical trial lifecycle and regulatory expectations

  • Ensure outputs align with Statistical Analysis Plans (SAPs) and clinical reporting standards

  • Support statistical programming and clinical analytics workflows

  • Ensure consistency between data systems and statistical outputs


E. Governance, Compliance & Quality

  • Ensure regulatory compliance and audit readiness of analytics systems

  • Maintain documentation standards across development lifecycle

  • Ensure adherence to governance frameworks and validation processes

  • Support quality assurance across analytical deliverables


F. Leadership & Program Management

  • Lead cross-functional initiatives and technical delivery streams

  • Provide structured reporting on:

    • Project progress

    • Risks and dependencies

    • Mitigation strategies

  • Coordinate global teams across technical and scientific domains

  • Drive execution of enterprise analytics strategy


Minimum Requirements

  • 14+ years of experience in analytics, statistical programming, or software development

  • Strong pharmaceutical or clinical research domain experience

  • Advanced expertise in R programming, including:

    • Data manipulation

    • Statistical modelling

    • Data visualization

  • Experience building Shiny dashboards and web applications

  • Experience with Posit tools (Workbench, Connect, Package Manager) or equivalents

  • Strong SQL and relational database skills

  • Experience with Git and version control workflows

  • Experience integrating R with enterprise systems and APIs

  • Strong understanding of clinical trial lifecycle and statistical workflows


Core Competencies

  • Clinical analytics and statistical computing

  • Enterprise software and platform architecture

  • Cross-functional leadership

  • Stakeholder management and communication

  • Regulatory compliance and validation

  • Data engineering and automation workflows


Work Environment

  • Global pharmaceutical R&D organization

  • Highly cross-functional (clinical, statistical, and technical teams)

  • Strong focus on regulated data environments and compliance

  • Leadership role with enterprise-level impact on analytics platforms