Senior RWE/RWA Programmer - RemotePenfield Search Partners • Fairfield, CT, US
Senior RWE / RWA Programmer - Remote
Penfield Search Partners • Fairfield, CT, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
- [filters.remote]
[job_card.job_description]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
Job Description
Job Description
Contact : Neisha Camacho / Terra Parsons -
No 3rd party candidates
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
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