Job
Description
Job TitleSenior RWE Manager Job Location-Hyderabad/Gurugram Job Responsibilities- Develop and execute comprehensive RWE strategies by leading the end-to-end process of study conceptualization, including protocol development, statistical analysis planning, and implementation of complex observational studies utilizing advanced epidemiological methods. Lead teams in designing and implementing sophisticated cohort identification algorithms using structured and unstructured data, and direct large-scale data projects using multiple real-world data sources by overseeing data extraction, cleaning, and standardization while ensuring compliance and data reproducibility. Guide the implementation of advanced statistical methods for confounding control and bias mitigation and oversee the development and validation of models for patient stratification, treatment response prediction, and adverse event detection. Develop and maintain strategic partnerships with external stakeholders (key opinion leaders, data vendors, technology partners) while leading the evaluation and selection of fit-for-purpose data sources, analytical tools, and platforms. Establish and implement standard operating procedures for the RWE practice, including documentation standards, quality control processes, and validation requirements. Manage direct reports; Coach & Mentor junior team members in advanced analytical methods and oversee the development of reusable analytical frameworks and code libraries. Monitor and optimize project performance metrics (financial, operational, compliance), implement corrective actions, and maintain comprehensive documentation for audits. Qualification- Advanced degree (PhD, MD, PharmD) with focus in biostatistics, epidemiology, or related quantitative field 8-10+ years of hands-on experience in health data science and real-world evidence generation with strong understanding of statistical concepts and methodologies Demonstrated expertise in observational research methodology and causal inference Strong track record of leading complex analytical projects using healthcare databases Experience with regulatory-grade real-world evidence studies Must have Skills: - Advanced programming skills in Python (pandas, numpy, scikit-learn) and R (tidyverse, survival) Expertise in SQL for complex data manipulation in healthcare databases Proficiency in handling claims data (medical, pharmacy), understanding of coding systems (ICD-10, CPT, HCPCS, NDC) and experience with standardized vocabularies (SNOMED, RxNorm, LOINC) Experience with different RWD data sources (Optum, Marketscan, Healtverity, etc) and common data models (OMOP, PCORnet) Demonstrated ability to develop and validate various statistical algorithms Strong knowledge of statistical methods for confounding control and bias mitigation Experience with electronic health record data extraction and processing Expertise in implementing causal inference methods (PS matching, IPTW, g-methods) Behavioural Attributes (1) ability to execute assigned tasks both independently and collaboratively with minimal supervision (2) Proactiveness in identifying solutions to challenges (3) Growth mindset demonstrated through intellectual curiosity, critical thinking, and a drive for collective business success. Skills that give you an edge- Knowledge of distributed computing platforms (Spark, Hadoop) Expertise in natural language processing for unstructured EHR data Proficiency in version control systems (Git) and collaborative development Knowledge of FDA & EMA guidelines for RWE and regulatory submissions Knowledge of privacy frameworks (HIPAA, GDPR) and clinical data security Strong analytical skills to solve and model complex business requirements are a plus. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-developmentonline Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote
