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.
Shubham Vishwakarma
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Job Title |
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Department |
Human Resources |
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Total Experience |
12-15 yrs |
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This position shall be responsible for sourcing candidates through various channels, planning interview and selection procedures and hosting or participating in career events. To be successful in this role, the position holder should be able to develop long-term recruiting strategies and nurture trusting relationships with potential hires. |
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Follow CutshortShubham Vishwakarma
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