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Real World Evidence Rwe Jobs in Connecticut (NOW HIRING)

Winchester Public Schools

Innovation Teacher

Winsted, CT · On-site

$44K - $100K/yr

Evidence of at least three years of exemplary classroom teaching experience. * Excellent ... Facilitate interdisciplinary learning that encourages innovation, design thinking, and real-world ...

Varsity Tutors

IB Physics Tutor

Hartford, CT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

Varsity Tutors

IB Physics Tutor

Bridgeport, CT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

Varsity Tutors

IB Physics Tutor

Stamford, CT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

Varsity Tutors

IB Physics Tutor

Norwalk, CT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

Varsity Tutors

IB Physics Tutor

New Haven, CT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

AQR

2027 Trading Summer Analyst

Greenwich, CT

... real-world trading and investment problems. Whether through programming, AI-assisted tools, or other analytical approaches, they are motivated by finding evidence-based solutions rather than relying ...

AQR

2027 Trading Summer Analyst

Greenwich, CT · On-site

... real-world trading and investment problems. Whether through programming, AI-assisted tools, or other analytical approaches, they are motivated by finding evidence-based solutions rather than relying ...

BIOWAVE CORPORATION

Regulatory Affairs Manager

Westport, CT · On-site

$100K - $110K/yr

Our technology is backed by clinical evidence and real-world results, helping patients reduce pain, restore function, and reclaim their lives. Trusted by healthcare professionals, athletes, veterans ...

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Real World Evidence Rwe information

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.

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.

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.

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.
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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 6% Internship, 55% Full Time, 29% Part Time, and 10% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

Data Transformation Analyst Intern

Hispanic Health Council Inc

Hartford, CT • On-site

Internship

Re-posted 26 days ago

Job description

About Company:

Since 1978, Hispanic Health Council has been championing health equity promotion and social justice in Connecticut through groundbreaking research and innovative health and human services. Our dynamic, culturally competent team creates lasting change in vulnerable communities through evidence-based programs and advocacy. Through our transformative initiatives, we're making an internationally recognized impact while offering meaningful careers with real growth opportunities. If you're passionate about making a difference, there's a place for you here!


About the Role:

As a Data Analyst Intern, you will play a crucial role in supporting our data-driven decision-making processes by collecting, processing, and analyzing large datasets. This internship offers a hands-on opportunity to apply statistical and analytical techniques to real-world business challenges, enhancing your technical and problem-solving skills. You will be responsible for preparing reports and visualizations that clearly communicate findings to stakeholders at various levels. Ultimately, your contributions will help improve operational efficiency and support strategic initiatives within the organization.

Minimum Qualifications:

  • Currently enrolled in or recently graduated from a degree program in Data Science, Statistics, Computer Science, or Mathematics Program.
  • Proficiencyin Excel, Tableau, and statistical tools (e.g., Python, R).
  • Knowledge of data warehousing and big data frameworks (e.g., Hadoop, Spark).
  • Strong mathematical and analytical skills, with familiarity in predictive modeling.

NOTE- It's an unpaid internship.

Preferred Qualifications:

  • Experience with programming languages such as Python or R for data analysis.
  • Knowledge of SQL for querying databases.
  • Exposure to data visualization tools like Tableau, Power BI, or similar platforms.
  • Understanding of machine learning fundamentals.
  • Previous internship or project experience involving data analytics.

Responsibilities:

  • Extract, clean, and transform data from multiple sources into standardized formats.
  • Develop data dictionaries and streamline metadata documentation for harmonized datasets.
  • Build data visualizations using Tableau and Excel for clarity on project insights.
  • Assist in model creation and validation for AI-driven trends analysis.

Skills:

In this role, you will apply your analytical skills daily to interpret complex datasets and extract meaningful insights that inform business decisions. Proficiency in tools like Excel, SQL, and programming languages such as Python or R will enable you to manipulate data efficiently and automate repetitive tasks. Your ability to create clear and compelling visualizations will help translate technical findings into accessible information for diverse audiences. Strong communication skills will be essential as you collaborate with team members and present your analyses. Additionally, your problem-solving mindset will drive continuous improvement in data processes and contribute to innovative solutions.