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Real World Evidence Rwe Jobs in Connecticut (NOW HIRING)

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

Stryker

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

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Real World Evidence Rwe information

What is real world evidence (RWE)?

Real World Evidence (RWE) refers to clinical evidence regarding the usage and potential benefits or risks of a medical product, derived from analysis of real-world data (RWD). This data is collected from sources outside of traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. RWE plays a crucial role in understanding how treatments work in routine clinical practice, informing regulatory decisions, and supporting drug development and market access. Organizations use RWE to complement clinical trial data, improving healthcare outcomes and patient care.

How does a real world evidence (RWE) professional collaborate with cross-functional teams?

RWE professionals often work closely with colleagues from epidemiology, health economics, medical affairs, and regulatory affairs to design and execute studies using real-world data. Collaboration is essential, as RWE findings support evidence generation for regulatory submissions, market access, and post-marketing surveillance. Regular meetings, data-sharing sessions, and joint project planning are common, ensuring all stakeholders are aligned on study objectives, methodologies, and data interpretation. This collaborative environment helps translate complex data into actionable insights that support decision-making across the organization.

What are the key skills and qualifications needed to thrive as a real world evidence (RWE) professional?

To thrive as a Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, and data analysis, often supported by an advanced degree in a relevant scientific field. Familiarity with statistical software (such as SAS, R, or Python), real-world data sources (like EHRs and claims databases), and regulatory guidelines (FDA/EMA) is essential. Strong communication, problem-solving, and cross-functional collaboration skills help convey complex findings to stakeholders and integrate RWE into decision-making. These competencies are crucial for generating credible insights that inform clinical, regulatory, and commercial strategies in the healthcare industry.

What is the difference between Real World Evidence Rwe vs Clinical Data Analyst?

AspectReal World Evidence RweClinical Data Analyst
Required credentialsTypically requires a background in healthcare, epidemiology, or biostatistics, often with a master's or PhDUsually requires a degree in health informatics, biostatistics, or related fields, with similar certifications
Work environmentPrimarily in healthcare, pharmaceutical, or research organizations analyzing real-world dataIn clinical research settings, hospitals, or pharmaceutical companies analyzing clinical trial data
Employer and industry usageUsed by pharma companies, healthcare providers, and research institutions to generate real-world insightsUsed by research organizations, hospitals, and pharma for clinical trial data management and analysis

Real World Evidence Rwe professionals focus on analyzing data from real-world settings like electronic health records and insurance claims, while Clinical Data Analysts primarily work with clinical trial data. Both roles require strong analytical skills and related credentials, but Rwe specialists emphasize real-world data sources to inform healthcare decisions.

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Real World Evidence Rwe jobs near you
Infographic showing various Real World Evidence Rwe job openings in Connecticut as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 69% In-person, 5% Hybrid, and 26% Remote job distribution.

Principal Biostatistician - Medical Affairs (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 26 days ago

Job description

Job Description We are partnering with a leading biopharmaceutical client seeking an experienced Principal Biostatistician to support its Medical Affairs Statistics, Epidemiology, and Real-World Evidence (RWE) organization. This individual will perform and validate statistical analyses in support of Medical Affairs initiatives while providing oversight of statistical and programming work conducted by external vendors as needed. The Principal Biostatistician will collaborate closely with cross-functional Medical Affairs stakeholders on evidence-generation activities, including those incorporating real-world data and evidence.

The role will provide statistical guidance on clinical and lifecycle management initiatives, advise on analytical strategies, and recommend appropriate methodological approaches to support integrated evidence generation and informed decision-making. Essential Functions Work collaboratively with other members of the Medical Affairs team to develop and provide scientifically sound analyses that answer questions to support and enhance publications and knowledge of company products. Contribute to publication objectives including timelines, statistical and analytical requirements for publications and projects.

Develop, design, and oversee or perform post-hoc analyses of existing databases and meta-analyses as needed and appropriate Support clinical development biostatistics with exploratory analyses necessary for submissions and regulatory queries. Review publications, marketing materials, and education and training materials that contain clinical data and product claims Stay informed with data being generated in current clinical development programs Manage CROs regarding statistical activities to ensure timely delivery of quality analysis results as necessary Collaborate and provide statistical support to the HEOR group in relevant areas including HTA and NTAP submissions. Develop real world evidence strategies utilizing real-world data assets to design and execute RWE research projects, including the development of protocols and statistical analysis plans, in collaboration with epidemiology and RWE leadership team.

Stay current with new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and other professional development activities. Minimum Requirements Master's degree with >2 years of experience; OR PhD in statistics, mathematics or a related discipline with a statistical focus. Proficient in drug development regulations pertinent to statistical analysis Proficient SAS & R programming skills Understanding of CDISC SDTM and ADAM models and standards is preferred, but not required.

Excellent writing and communication skills, demonstrated leadership abilities and excellent interpersonal skills. Able to work in a fast-paced, flexible, team-oriented environment.

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