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Remote Real World Evidence Rwe Jobs in Charlotte, NC

Experience with digital biomarkers, wearables, sensors, remote patient monitoring, decentralized ... Knowledge of data governance, clinical data flows, interoperability, or real-world evidence

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote USA based About the hiring company: Our client is a rapidly growing, venture-backed AI ... These experts contribute directly to the development of advanced AI systems by providing real-world ...

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Remote Real World Evidence Rwe information

What is a remote real world evidence RWE professional?

Remote Real World Evidence (RWE) jobs involve gathering, analyzing, and interpreting data from real-world sources—such as electronic health records, insurance claims, patient registries, and wearable devices—to inform healthcare decisions. Professionals in these roles typically work for pharmaceutical companies, research organizations, or healthcare technology firms. Remote RWE jobs allow employees to contribute to research and data analysis from home or other off-site locations, using digital tools to collaborate with teams and stakeholders. These positions are crucial for understanding how medical treatments perform outside of controlled clinical trials, ultimately improving patient care and supporting regulatory submissions.

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

To thrive as a Remote Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, or related life sciences, typically supported by an advanced degree (e.g., MPH, MS, PhD). Familiarity with statistical software such as SAS, R, or Python, and experience working with large healthcare databases and electronic health records are crucial. Excellent analytical thinking, problem-solving abilities, and effective communication skills help translate complex data into actionable insights for stakeholders. These competencies ensure the generation of robust, real-world data analyses that inform healthcare decisions and regulatory submissions.

What are some common challenges faced by remote real world evidence RWE professionals and how can they be addressed?

Remote RWE professionals often encounter challenges such as managing large and diverse datasets, ensuring data privacy, and coordinating effectively with cross-functional teams across different time zones. To address these, it's important to have strong data management skills, familiarity with relevant regulations (like GDPR or HIPAA), and effective communication tools. Actively engaging in regular virtual meetings and leveraging collaborative platforms can help maintain alignment with stakeholders and ensure project milestones are met.

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

AspectRemote Real World Evidence RweRemote Data Analyst
Required CredentialsAdvanced degrees in healthcare, epidemiology, or biostatistics; experience with RWE methodologiesBachelor's or master's in data science, statistics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborates with healthcare providers, pharma companies, and regulatory agencies; focuses on healthcare dataWorks across industries; analyzes large datasets to inform business decisions
Industry UsagePrimarily in healthcare, pharmaceuticals, and regulatory sectorsAcross various sectors including finance, marketing, and healthcare

Remote Real World Evidence Rwe specialists focus on analyzing healthcare data to generate evidence for medical and regulatory decisions, requiring healthcare-specific knowledge. Remote Data Analysts handle diverse datasets across industries, emphasizing data processing and reporting skills. While both roles involve data analysis, RWE roles are more specialized in healthcare and regulatory contexts.

What are popular job titles related to Remote Real World Evidence Rwe jobs in Charlotte, NC?

For Remote Real World Evidence Rwe jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Remote Real World Evidence Rwe jobs in Charlotte, NC look for?

The top searched job categories for Remote Real World Evidence Rwe jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Remote Real World Evidence Rwe jobs?

Cities near Charlotte, NC with the most Remote Real World Evidence Rwe job openings:

Real World Biostatistician - Safety Experience (hiring in US and Canada)

Concord, NC • On-site, Remote


Syneoshealth
Scientific Research and Development Services • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

38th of 86 rated pharmaceutical

People enjoy working here

Good employer

Paid breaks


Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Real World Biostatistician - Safety Experience (hiring in US and Canada)

Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life.
We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

Job Description

Biostatistician - Real-World Evidence (RWE)

Role Overview

We are seeking a biostatistician with strong experience in real-world data (RWD) with observational study design and safety study experience in addition to RWE Safety experience. This role will support evidence generation across multiple therapeutic areas. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data toinform:clinical development, HEOR, regulatory strategy, and market access.

Key Responsibilities

  • Design and execute real-world evidence (RWE) studies using EMR and claimsdata;Conducting data specs,SAPand protocol with key research objectives

  • Develop and apply robust statistical methodologies, including:

  • Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest)

  • Trial emulation frameworks

  • External control arm development and borrowing strategies

  • Perform data analysis using healthcare coding systems (e.g., ICD, NDC)

  • Conduct sample size estimation and power calculations for observational and hybrid study designs

  • Collaborate cross-functionally with stakeholders across:

  • HEOR

  • Market Access

  • Regulatory

  • Clinical Development

  • Translate complex analytical results into clear, actionable insights,e.g.powerpointor study report for decision-making

  • Support methodological innovation in RWE, including integration of machine learning approaches where appropriate

Required Qualifications

  • M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field

  • 5 years of experience in RWD/RWE analytics (industry or equivalent)

  • Strong experience with EMR and/or claims data

  • Proficiencyin healthcare coding systems (e.g., ICD, NDC)

  • Programmingexpertisein at least one of: SAS, R, or Python

  • Working knowledge with SQL logic and OMOP data structures

  • Solid understanding of:

  • Causal inference methods

  • Observational study design

  • Sample size and power considerations

  • Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD SNOMED RxNorm); Translate statisticalestimand censoring rule and data extraction logic.

Preferred Qualifications

  • Ph.D. strongly preferred

  • Familiarity with:

  • Trial emulation methodologies

  • External control borrowing / hybrid designs

  • Basic machine learning methods applied to RWD

  • Demonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environment

  • Strong communicationand stakeholder engagement skills

  • Advanced (nice-to-have, not alwaysrequired)

  • Build reusable cohort pipelines

  • Optimizequeries for large-scale databases

  • Work across multiple CDMs (OMOP, Sentinel,PCORnet)

Core Competencies

  • Analytical rigor and methodological depth

  • Cross-functional collaboration

  • Ability tooperatewith agility across diverse projects and therapeutic areas

  • Clear and effective scientific communication

Open to all US states and Canada. Remote based position.

At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.

Salary Range:

$80,600.00 - $145,000.00

The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role.

Get to know Syneos Health


Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information


Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.



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