Job Description
Contact: Neisha Camacho/Terra Parsons -
No 3rd party candidates
Brief Description:
The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims electronic medical records (EMR) and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD) exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research.
Essential Functions
- Effectively designs and codes R and SQL programs for assigned project(s) consistently meeting objectives of the project.
- Clean and validate RWD for consistency and reliability
- Implement programming as specified from RWE protocol using a variety of RWD from multiple sources including Optum and Flatiron
- Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses
- Create or review and approve programming plans at study and project level.
- Displays highly advanced knowledge regarding program epidemiology methodologies implementation and system development life cycle concepts.
- Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies
- Develop dashboards reports and presentations to communicate findings
- Work collaboratively with members of study teams to meet study and recurring report timelines
Minimum Requirements
- MS in data science epidemiology statistics public health or related discipline
- At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations
- Fluence in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage
- Familiarity with US and global health care coding system (e.g. ICD CPT HCPCS LOINC MedDRA) and delivery system (e.g. payers and reimbursement models)
- Experience conducting routine and advanced statistical analyses for RWE generation leveraging time-to-event cross-sectional and longitudinal data
- Experience with big data analytical platforms
- Deep understanding of observational study analysis
- Able to work in a fast-paced flexible team-oriented environment
Required Experience:
Senior IC
Job DescriptionContact: Neisha Camacho/Terra Parsons - No 3rd party candidatesBrief Description:The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims electronic medical records (EMR) and registry data. Th...
Job Description
Contact: Neisha Camacho/Terra Parsons -
No 3rd party candidates
Brief Description:
The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims electronic medical records (EMR) and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD) exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research.
Essential Functions
- Effectively designs and codes R and SQL programs for assigned project(s) consistently meeting objectives of the project.
- Clean and validate RWD for consistency and reliability
- Implement programming as specified from RWE protocol using a variety of RWD from multiple sources including Optum and Flatiron
- Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses
- Create or review and approve programming plans at study and project level.
- Displays highly advanced knowledge regarding program epidemiology methodologies implementation and system development life cycle concepts.
- Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies
- Develop dashboards reports and presentations to communicate findings
- Work collaboratively with members of study teams to meet study and recurring report timelines
Minimum Requirements
- MS in data science epidemiology statistics public health or related discipline
- At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations
- Fluence in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage
- Familiarity with US and global health care coding system (e.g. ICD CPT HCPCS LOINC MedDRA) and delivery system (e.g. payers and reimbursement models)
- Experience conducting routine and advanced statistical analyses for RWE generation leveraging time-to-event cross-sectional and longitudinal data
- Experience with big data analytical platforms
- Deep understanding of observational study analysis
- Able to work in a fast-paced flexible team-oriented environment
Required Experience:
Senior IC
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