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How much do from home systematic review meta analysis jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for from home systematic review meta analysis in the United States is $30.93, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $32.21 per hour, depending on experience, location, and employer.

What is a from home systematic review meta analysis job?

A work-from-home systematic review and meta-analysis job involves conducting comprehensive literature reviews and statistical analyses of existing research from a remote location. Professionals in this role systematically collect, evaluate, and synthesize data from multiple studies on a specific topic to draw evidence-based conclusions. The work often supports research projects in healthcare, social sciences, or other fields requiring high-quality evidence summaries. Remote workers use various online databases, analytical software, and collaboration tools to perform their duties efficiently from home.

What are some common challenges faced when conducting systematic reviews and meta-analyses from home, and how can they be addressed?

One of the main challenges of conducting systematic reviews and meta-analyses from home is maintaining effective collaboration with co-authors and ensuring consistent access to shared data and reference management tools. To address this, it's important to use secure, cloud-based platforms for document sharing and to schedule regular virtual meetings to discuss progress and resolve any issues. Additionally, managing distractions and maintaining motivation in a remote environment can be challenging; setting clear milestones and using task management tools can help stay on track. Staying updated with best practices and new tools in evidence synthesis is also crucial for producing high-quality reviews.

What are the key skills and qualifications needed to thrive as a systematic review and meta-analysis researcher working from home, and why are they important?

To thrive as a Systematic Review and Meta-Analysis Researcher, you need expertise in literature search strategies, critical appraisal, and advanced statistical analysis, typically supported by a degree in a health or social sciences field. Familiarity with databases like PubMed, systematic review management tools (e.g., Covidence), and statistical software (e.g., RevMan, Stata, R) is standard, and PRISMA or Cochrane training is advantageous. Strong attention to detail, time management, and effective written communication are crucial soft skills for remote collaboration and high-quality reporting. These skills ensure the accuracy, transparency, and reliability of research findings, which are essential for evidence-based decision-making.

What is the difference between From Home Systematic Review Meta Analysis vs From Home Research Assistant?

AspectFrom Home Systematic Review Meta AnalysisFrom Home Research Assistant
CredentialsTypically requires advanced degrees (Master's or PhD) in related fieldsOften requires a Bachelor's or Master's degree in a relevant discipline
Work EnvironmentPrimarily remote, focused on analyzing existing data and literatureRemote or office-based, involved in data collection, literature review, and support tasks
Industry UsageCommon in healthcare, social sciences, and academic researchUsed across various industries including healthcare, market research, and academia

From Home Systematic Review Meta Analysis involves synthesizing existing research to draw conclusions, requiring strong analytical skills. In contrast, From Home Research Assistants support research projects through data collection and literature review. Both roles are remote but differ in complexity and responsibilities.

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Infographic showing various From Home Systematic Review Meta Analysis job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $64,333 per year, or $30.9 per hour.

Associate Principal, Indirect Treatment Comparison (ITC), Evidence Synthesis

Greenwich, CT • Remote

IQVIA
Health Care and Social Assistance • 10K+ employees

$125K - $350K/yr

Full-time

Re-posted 22 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz


Job description

Location: Remote, must be based in US

OVERVIEW

Associate Principals are methodologic experts with substantial experience in providing consulting services to Pharmaceutical clients. Associate Principals are project leaders who are responsible for implementing rigorous evidence synthesis research, overseeing the work of junior staff, and proactively managing the project timeline. They are detail oriented, act on anticipated project needs, and problem solve. Associate Principals contribute to the operational and fiscal health of the overall practice and training/success of junior staff.

REQUIRED KNOWLEDGE

Excellent knowledge of systematic literature review (SLR) methods and indirect treatment comparison (ITC). Significant experience leading and conducting ITC projects, including network meta-analysis, matching adjusted meta-analysis, etc. Expert understanding of global SLR guidelines and best practices, and substantial experience in implementing them.

RESPONSIBILITIES

  • Lead implementation of evidence synthesis projects to support HTA and/or regulatory submissions from pre-award to final delivery, as well as hands on development of deliverables
  • Lead project teams to ensure the execution of rigorous and high quality deliverables according to timelines
  • Expert ability to synthesize data qualitatively and quantitatively, and guide junior staff
  • Project management-manage projects, oversee the operational, financial, and administrative requirements of projects
  • Business development-independently qualify leads, develop proposals, attend bid defenses, and manage the contracting process
  • Support more senior staff on specific business initiatives as required
  • Work effectively across time zones as part of a global team

QUALIFICATIONS, EXPERIENCE, TECHNICAL AND PERSONAL SKILLS

Experience

Preferred:

  • PhD in epidemiology or biostatistics (other health sciences okay)
  • 5+ years of experience implementing evidence synthesis research in a pharma consulting environment

Minimum required:

  • Master's in epidemiology or biostatistics (other health sciences okay)
  • 7+ years of experience implementing evidence synthesis research in a pharma consulting environment

Client management

  • Must have 5+ years of experience as the client point of contact on projects

Technical skills and knowledge

  • Significant and demonstrated experience independently leading projects that included Bayesian NMAs and/or other ITCs
  • Substantial experience independently leading projects that included meta-analysis, NMA, or other Bayesian statistical analysis
  • Solid understanding of SLR concepts, guidelines, and required rigor
  • Strong ability to quality check own and others work so that drafts are delivered with only minimal minor typographical errors
  • Exceptional attention to detail
  • Competency in using PowerPoint, Excel, and Word

Essential personal skills and behaviors

  • Fluency in English (spoken and written); strong business/scientific written English
  • A commitment to working collaboratively and effectively with others in and across the team to accomplish goals
  • A commitment to timely internal and client communication; with clients, IQVIA project managers and team members, IQVIA colleagues and others
  • A pragmatic and logical problem solving approach to projects
  • Strong attention to detail on all project deliverables even under time pressure.
  • A good understanding of project management with proven time management and personal organizational skills

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US