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Real World Data Statistician I/Ii

AstraZeneca
2 years
Not Disclosed
Bangalore, India
1 June 5, 2026
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Medical Coding, Medical Terminology, mRS and EQ-5D-5L., Narrative Writing

Real World Data Statistician I/II

Company: Alexion, AstraZeneca Rare Disease
Location: Bengaluru, Karnataka, India
Employment Type: Full-Time
Work Model: Hybrid (Minimum 3 Days Office)
Job Level: Individual Contributor (C1/C2)
Job ID: R-252435


Position Overview

Alexion, AstraZeneca Rare Disease, is seeking a highly motivated Real World Data Statistician I/II to join its Epidemiology and Real-World Evidence (RWE) team.

This role focuses on generating high-quality regulatory-grade evidence from patient registries, disease registries, observational studies, electronic medical records (EMR), claims databases, and natural history studies. The successful candidate will support statistical analyses that inform regulatory submissions, scientific publications, post-marketing commitments, and evidence-generation strategies for rare disease programs.

The position offers an opportunity to work at the intersection of biostatistics, epidemiology, regulatory science, and real-world evidence, helping transform complex healthcare data into meaningful insights that improve patient outcomes.


Key Responsibilities

Real World Evidence (RWE) Generation

  • Support the development of real-world evidence from:

    • Disease Registries

    • Patient Registries

    • Natural History Studies

    • Electronic Medical Records (EMR)

    • Claims Databases

    • Observational Research Studies

  • Generate evidence supporting:

    • Regulatory submissions

    • Health authority interactions

    • Scientific publications

    • Post-authorization commitments

    • Clinical development strategies


Registry Evidence Strategy

  • Contribute to analytical strategies for registry-based evidence generation.

  • Support regulatory and scientific decision-making through robust statistical analyses.

  • Assist in developing evidence-generation plans across rare disease programs.

  • Support cross-functional efforts to maximize the value of registry data.


Statistical Analysis & Modeling

Perform advanced statistical analyses including:

Survival Analysis

  • Kaplan-Meier Analysis

  • Cox Proportional Hazards Models

  • Time-to-Event Analysis

Causal Inference Methods

  • Propensity Score Matching (PSM)

  • Inverse Probability Weighting (IPW)

  • Treatment Effect Estimation

  • Comparative Effectiveness Research

Longitudinal Data Analysis

  • Mixed Effects Models

  • Repeated Measures Analysis

  • Disease Progression Modeling

Registry-Specific Methodologies

  • Missing Data Management

  • Confounding Adjustment

  • Outcome Validation

  • Data Linkage Strategies

  • Cohort Construction

  • Sensitivity Analyses


Regulatory-Grade Statistical Deliverables

  • Support preparation of statistical outputs aligned with global regulatory expectations.

  • Contribute to development of:

    • Statistical Reports

    • Clinical Study Reports (CSRs)

    • Regulatory Briefing Documents

    • Health Authority Responses

    • Evidence Packages

  • Ensure compliance with:

    • FDA Real World Evidence Framework

    • EMA Registry Guidance

    • International Regulatory Standards


Methodology Development & Innovation

  • Support development and validation of innovative statistical methodologies.

  • Contribute to advancement of registry-specific analytical approaches.

  • Research emerging methods in pharmacoepidemiology and real-world evidence.

  • Participate in methodological discussions and knowledge-sharing initiatives.


Cross-Functional Collaboration

Collaborate closely with:

  • Epidemiologists

  • Clinical Development Teams

  • Regulatory Affairs

  • Statistical Programmers

  • Data Scientists

  • Registry Operations Teams

  • External Consultants

  • Academic Collaborators

  • Registry Investigators

to ensure methodological rigor and data quality.


Regulatory Support

  • Support analyses used in regulatory submissions.

  • Participate in preparation for health authority interactions and advisory meetings.

  • Ensure registry-derived evidence aligns with regulatory strategies and submission requirements.

  • Contribute to responses addressing regulatory questions and evidence requests.


Quality, Compliance & Reproducibility

  • Follow AstraZeneca and Alexion statistical standards and best practices.

  • Ensure reproducibility, transparency, and audit readiness of statistical analyses.

  • Maintain high standards for data integrity and documentation.

  • Support quality control and validation activities.


Scientific Communication

  • Communicate statistical concepts and findings clearly to cross-functional stakeholders.

  • Translate complex methodologies into clinically meaningful insights.

  • Contribute to presentations, scientific publications, and evidence-generation initiatives.

  • Support dissemination of study findings through conferences and peer-reviewed journals.


Required Qualifications

Education

Preferred

  • Master's Degree in:

    • Statistics

    • Biostatistics

    • Epidemiology

    • Public Health (Quantitative Focus)

    • Data Science

    • Related Quantitative Discipline

Alternative

  • Equivalent professional experience in statistical analysis and real-world evidence generation.