Summary:
The Real-World Data (RWD) Analyst will play a critical role within BIA Hyderabad. This specialized position focuses on analyzing and deriving insights from real-world data sources to generate evidence and support decision-making across the organization. The RWD Analyst will leverage a variety of RWD and evidence analytics techniques to contribute to research, clinical development, market access, and post-marketing activities.
Roles & Responsibilities
- Collaborate with cross-functional teams, including researchers, clinicians, market access and regulatory stakeholders, to understand data needs and objectives for RWD analysis
- Identify relevant real-world data from various sources, such as electronic health records (EHRs), claims databases, registries and other healthcare databases
- Clean, transform, and preprocess real-world data to ensure data quality, consistency, and compatibility for analysis.
- Apply appropriate statistical techniques to analyze real-world data and generate insights on research questions or business objectives.
- Oversee and conduct observational studies, comparative effectiveness research (CER), patient outcomes research and other types of RWD analysis to evaluate treatment outcomes, safety profiles, and healthcare utilization patterns
- Develop and implement data analysis plans, including study designs, statistical methodologies and modeling approaches
- Interpret and communicate findings from RWD analysis through reports, presentations and visualizations to stakeholders
- Collaborate with internal and external teams to design RWD studies, including protocol development, data collection and analysis
- Stay updated and compliant with the regulatory landscape related to real-world data analysis
- Contribute to the development and implementation of RWD strategies and best practices within the organization
- Provide training, guidance and mentorship to junior analysts and team members as required
Experience
- Bachelor's or Master's degree in a relevant field, such as Biostatistics, Epidemiology, Health Informatics, or a related discipline.
- Proven experience (typically 5+ years) in real-world data analysis, preferably within the biopharma or healthcare industry.
- Experience applying statistical and analytical techniques, such as observational study design, CER, patient outcomes research, and data modelling, to
- analyze real-world data.
- Experience with R or SAS and data visualization tools, such as Tableau or Power BI, is desirable.
- Candidates should have SQL experience
- Familiarity with relevant statistical methodologies and study designs used in real-world data analysis.
- Understanding of regulatory requirements and guidelines related to real-world data use, such as FDA's Real-World Evidence Program or similar initiatives.
- Candidates should have experience in BioPharma, Healthcare or Life Science industry.
Skills & Competencies
- Strong understanding of real-world data sources, such as electronic health records (EHR), claims databases, registries and other healthcare databases
- Proficiency in data pre-processing, cleaning and transformation techniques to ensure data quality and compatibility for analysis
- Knowledge of relevant statistical methodologies, including propensity score matching, survival analysis and regression models, for real-world data analysis
- Excellent problem-solving skills and the ability to derive meaningful insights from complex real-world data sets
- Excellent communication and presentation skills to effectively convey complex concepts and findings
- Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously
- Strong attention to detail and accuracy in data analysis and interpretation
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