Novartis

Pharma

SeniorRWEResearchAnalyst

₹22–35L ~AI est. Hyderabad, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior RWE Research Analyst at Novartis. Skills: Real-World Evidence, Observational studies, Statistical analysis, Scientific interpretation. Lead scientific design of observational studies. Define research questions”

What You'll Achieve.

Translate findings into actionable insights; Enhance scientific rigor; Enhance impact of evidence generation activities

Industry & Context.

Pharma
Problems you'll solve

Methodological questions; Escalate issues; Scientific quality review; Practical solutions

What They're Looking For.

Must Have

Bachelor's degree in epidemiology, biostatistics, statistics, bioinformatics, economics or equivalent, 5+ years research in pharma industry, CRO, or academic, Master's degree in epidemiology, biostatistics, statistics, bioinformatics, economics or similar, 3+ years research in pharma industry, CRO, or academic, PhD in epidemiology, biostatistics, statistics, bioinformatics, economics or similar, 2+ years research in pharma industry, CRO, or academic, Data Management and Statistical programming knowledge in R, STATA, or WinBUGs, Experience with electronic medical records, registry databases, and external insurance claims databases, Experience in application of statistical methods to observational data, Expert in applied statistics, Experience creating, reviewing, and maintaining codelists aligned with ICD-9, ICD-10, NDC, HCPCS, LOINC coding conventions, Understanding of organizational processes, Experience working cross-functionally with internal stakeholders, Excellent project management skills, Confident and competent when interacting with internal stakeholders, Written/verbal communication skills, Highly effective at summarizing and presenting key considerations and evidence

Nice to Have

PhD preferred, Specific ML framework experience preferred, Cloud platform certs preferred, Propensity scores, sensitivity analyses experience a plus, Additional experience in epidemiology, market research, or clinical research a plus, Extensive experience in application of statistical methods for analysis of observational data including propensity scores, sensitivity analyses, etc. a plus

What You'll Do.

Lead scientific design of observational studies

Define research questions

Define study populations

Define exposure/outcome definitions

Define analytical approaches

Develop statistical analysis plans

Develop analysis specifications

Conduct study feasibility assessments

Evaluate data source appropriateness

Evaluate analytical viability

Define codelist specifications

Define variable definitions

Review completed codelists

Provide scientific direction on study amendments

Respond to methodological questions

Serve as scientific point of contact

Coordinate timelines and deliverables

Track and document project communications

Track and document project decisions

Escalate issues to team lead

Review analytical outputs

Provide clear feedback to Data Analysts

Ensure project documentation is complete

Ensure project documentation is audit-ready

Ensure project documentation is compliant with SOPs

Interpret analytical results

Translate findings into actionable insights

Author scientific publications

Present findings to internal audiences

Present findings to external audiences

Conduct scientific quality review of study outputs

Contribute to development of department-level scientific standards

Contribute to development of templates

Contribute to development of best practices

Support continuous improvement initiatives

Enhance scientific rigor

Enhance impact of evidence generation activities

Mentor junior research analysts

Partner effectively with Data Analysts

Provide clear scientific direction

Respect technical expertise

Support onboarding of new team members

How You'll Work.

Team & Collaboration

Cross-functional partners; Data Analysts; Other team members; Key internal stakeholders; Junior research analysts; New team members

Communication Scope

Stakeholder communication; Scientific interpretation; Present findings; Summarizing; Presenting key considerations; Presenting evidence

Process & Methodology

Prioritize multiple tasks and goals, Ensure timely completion

Full Job Description

**Job Description Summary** The Senior Real-World Evidence (RWE) Research Analyst is responsible for the scientific leadership and methodological oversight of observational database analytics and RWE projects. This role owns study design, protocol development, scientific interpretation, and stakeholder communication, working in close partnership with Scientific Data Analysts who execute the technical programming and data extraction. The research analyst ensures that evidence generation activities are scientifically rigorous, aligned with organizational objectives, and translated into actionable insights for medical affairs stakeholders. **Job Description** **Senior RWE****Research Analytics** **Location – Hyderabad # LI Hybrid** **Major Responsibilities:** **Scientific Leadership & Study Design** * Lead the scientific design of observational studies, defining research questions, study populations, exposure/outcome definitions, and analytical approaches * Develop and own protocols, statistical analysis plans, and analysis specifications for RWE projects, ensuring methodological rigor and alignment with internal standards * Conduct and document study feasibility assessments, evaluating data source appropriateness and analytical viability * Define codelist specifications and variable definitions for data analysts to implement; review completed codelists for clinical and scientific accuracy * Provide scientific direction on study amendments and respond to methodological questions from cross-functional partners **Project Oversight & Coordination** * Serve as the scientific point of contact for assigned RWE projects, coordinating timelines and deliverables with Data Analysts and other team members * Track and document project communications, decisions, and risks; proactively escalate issues to team lead * Review analytical outputs for scientific accuracy and alignment with SAP specifications; provide clear feedback to Data Analysts * Ensure project documentation is comple

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