Real-World Evidence (RWE) Analyst / Senior RWE Analyst
at Client based at Bangalore location.
Data SciencePosition Overview:
We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.
Key Responsibilities:
For Both RWE Analyst (Junior) & Senior RWE Analyst:
- Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
- Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
- Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
- Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
- Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
- Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.
Specific Responsibilities for RWE Analyst (Junior):
- Perform statistical analysis on real-world healthcare datasets under guidance.
- Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
- Prepare and clean data for analysis, identifying and addressing data quality issues.
- Assist in the interpretation of study results and the drafting of reports or presentations.
- Support the preparation of journal publication materials based on RWE studies.
Specific Responsibilities for Senior RWE Analyst:
- Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
- Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
- Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
- Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
- Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.
Qualifications:
For Both RWE Analyst (Junior) & Senior RWE Analyst:
- Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
- Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
- Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
- Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
Specific Qualifications for RWE Analyst (Junior):
- 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
- Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).
Specific Qualifications for Senior RWE Analyst:
- 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
- A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
- Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
- Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.
Preferred Skills (for both roles, but more emphasized for Senior):
- Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
- Knowledge of common data models (e.g., OMOP CDM).
- Familiarity with regulatory guidelines and best practices for RWE generation.
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