Senior RWE/RWA Programmer - RemotePenfield Search Partners • Fairfield, CT, US

Senior RWE / RWA Programmer - Remote

Penfield Search Partners • Fairfield, CT, US

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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

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

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