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Remote Real World Evidence Rwe Jobs in Savannah, GA

micro1 AI

Director of Biostatistics

Savannah, GA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

The Vetter Agency

Remote Sales Consultant

Savannah, GA · On-site +1

$30K - $160K/yr

Our agents have transitioned from careers in teaching, nursing, social work, real estate, and ... World class culture and leadership development Pay: * 1099 contractor; commissions only * Part-Time ...

ERM

Right of Way (ROW) Agent (Field Based)

Savannah, GA · On-site +1

$34.19 - $40.20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... real estate appraisal practices. * Ability to work in remote locations for long periods of time ... Our diverse team of world-class experts supports clients across the breadth of their organizations ...

ABB

Global Product Manager - Transformers

Bloomingdale, GA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Join us and help run what runs the world. This position reports to: Business Manager - Operations ... If remote, candidates should be located near a major metro area. This role is contributing to the ...

Labcorp

EDI Specialist - Field

Hilton Head Island, SC · Remote

$60K - $88K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... make a real impact on people's health around the world. Together, we're improving health and ... This position is Remote in South Carolina. Job Summary: The candidate must have a complete ...

ABB

Strategic Segment Proposal Engineer

Bloomingdale, GA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Join us and help run what runs the world. This position reports to: Sales Support Manager __ As a ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

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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 Savannah, GA?

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

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

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Cities near Savannah, GA with the most Remote Real World Evidence Rwe job openings:

Remote Real World Evidence Rwe jobs near you

Director of Biostatistics

micro1 AI

Savannah, GA • Remote

$60 - $65/hr

Part-time

Posted 13 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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