Senior RWE Research Analyst at Novartis

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scientific Leadership, Study Design, Protocol Development, Observational Studies, Statistical Analysis Plans, Data Extraction, Scientific Interpretation, Stakeholder Communication, Project Oversight, Data Analysts Coordination, Analytical Outputs Review, SOP Compliance, Manuscript Authoring, Scientific Standards Development, Mentoring, Epidemiology

Industry

Pharmaceutical Manufacturing

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 complete, audit-ready, and compliant with SOPs and internal requirements Scientific Interpretation & Communication Interpret analytical results within the clinical and scientific context; Translate findings into actionable insights for medical affairs stakeholders author study reports, manuscripts, and scientific communications; Present findings to internal and external audiences Quality & Standards Conduct scientific quality review of study outputs, focusing on clinical interpretation, methodological soundness, and alignment with objectives Contribute to the development of department-level scientific standards, templates, and best practices for RWE study design and reporting Support continuous improvement initiatives that enhance the scientific rigor and impact of evidence generation activities Team Development & Collaboration Mentor junior research analysts on scientific methods, study design principles, and stakeholder engagement Partner effectively with Data Analysts, providing clear scientific direction while respecting their technical expertise in execution Support onboarding of new team members on scientific processes and methodologies Minimum Requirements: Education: Bachelor’s degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or equivalent. And 5+ years conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline within the pharma industry (e.g., clinical research, statistics, epidemiology, pricing). Or Master’s degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. And 3+ years of experience conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline within the pharma industry. Or PhD in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. And 2+ years of experience conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline within the pharma industry. Track record of operational excellence in field of analytics (Data Management and Statistical applications; programming knowledge in either R, STATA, or WinBUGs is a plus). Experience with data from electronic medical records, registry databases, and external insurance claims databases for health outcomes research. Additional experience in epidemiology, market research, or clinical research is a plus. Experience in the application of statistical methods to the analysis of observational data. Expert in applied statistics. Extensive experience in the application of statistical methods for analysis of observational data including propensity scores, sensitivity analyses, etc. is a plus. Experience in creating, reviewing, and maintaining codelists aligned with ICD-9, ICD-10, NDC, HCPCS, LOINC coding conventions for healthcare and real-world data projects Understanding of organizational processes, including experience working cross-functionally with key internal stakeholders. A strong interest in working in pharma. Open to experimentation and taking smart risks to support creative thinking that leads to practical solutions to healthcare and business challenges. Holds a high standard on quality excellence. Continuously seeking to enhancing standards, technology through expansion of knowledge and training. High ethical values and standards. Able to speak up, challenge conventional thinking, and stand up for ideas. Experienced in data visualization. Excellent project management skills: can prioritize multiple tasks and goals to ensure timely completion. Confident and competent when interacting with internal stakeholders. Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence. Strong team spirit. Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives, and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Skills Desired Clinical Research, Clinical Trials, Curious Mindset, Databases, Drug Development, Job Description, Lifesciences, Medical Communication, Medical Information, Medical Writing, Military Intelligence, Patient Care, Physics, Technical Support Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives. Novartis is aware of employment scams which make false use of our company name or leader’s names or recruiter’s names to defraud job seekers. Novartis does not make job offers without interview and never asks candidates for money. If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information. In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov .

Responsibilities

The Senior RWE Research Analyst provides scientific leadership and methodological oversight for observational database analytics and RWE projects, owning study design, protocol development, and scientific interpretation. This role translates evidence generation activities into actionable insights for medical affairs stakeholders through rigorous scientific review and communication.