ZipRecruiter

Log In

2

Remote Rwe Jobs in Connecticut (NOW HIRING)

People also search for

All JobsRemote Rwe JobsRemote Rwe Jobs in Connecticut

Remote Rwe information

What are the key skills and qualifications needed to thrive as a Remote Real-World Evidence (RWE) Analyst, and why are they important?

To thrive as a Remote Real-World Evidence (RWE) Analyst, you need strong analytical skills, expertise in epidemiology or biostatistics, and typically an advanced degree in a health-related field. Familiarity with statistical software (such as SAS, R, or Python), experience in data visualization tools, and knowledge of healthcare databases are commonly required. Excellent communication, attention to detail, and self-motivation are crucial soft skills for effectively collaborating with remote teams and stakeholders. These skills ensure high-quality, credible real-world data analysis that informs healthcare decisions and supports evidence-based practice.

What are some common challenges faced by Remote Real-World Evidence (RWE) professionals, and how can they be addressed?

Remote RWE professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring secure and compliant data sharing, and maintaining clear communication in virtual settings. To address these issues, it's helpful to establish regular check-ins, utilize collaborative project management tools, and stay up to date with data privacy regulations. Building strong digital communication skills and participating in virtual team-building activities can also enhance collaboration and productivity in a remote work environment.

What are Remote RWE jobs?

Remote RWE (Real World Evidence) jobs involve analyzing and interpreting healthcare data collected outside of traditional clinical trials, such as electronic health records, insurance claims, and patient registries, while working remotely. Professionals in this field help pharmaceutical companies, healthcare providers, and regulatory agencies make informed decisions about the safety and effectiveness of medical treatments in real-world settings. Remote RWE roles typically require expertise in data analysis, epidemiology, and biostatistics, and often involve collaborating with cross-functional teams using virtual communication tools.
What are the most commonly searched types of Rwe jobs in Connecticut? The most popular types of Rwe jobs in Connecticut are:
What are popular job titles related to Remote Rwe jobs in Connecticut? For Remote Rwe jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Rwe jobs in Connecticut look for? The top searched job categories for Remote Rwe jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Rwe jobs? Cities in Connecticut with the most Remote Rwe job openings:
Remote Rwe jobs near you
Senior RWE/RWA Programmer - Remote

Senior RWE/RWA Programmer - Remote

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 19 days ago

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