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Remote Real World Evidence Rwe Jobs in Massachusetts

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Cytel

Principal Epidemiologist, FSP

Cambridge, MA · On-site +1

... RWE studies. * Demonstrated experience with multiple real-world data types (at least two of: claims ... Strong working knowledge of pharmacovigilance-oriented evidence needs and safety assessment framing ...

Jj

Senior Director, Immunology Data & AI Systems

Cambridge, MA · On-site +1

$54.50 - $74.75/hr

... and real-world data (RWD/RWE)-are standardized, productized, and integrated into Johnson and ... evidence generation, resulting in better access and use. Key Responsibilities * Lead a team to ...

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Remote Real World Evidence Rwe information

What are Remote Real World Evidence (RWE) jobs?

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 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 the key skills and qualifications needed to thrive as a Remote Real World Evidence (RWE) professional, and why are they important?

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 are the most commonly searched types of Real World Evidence Rwe jobs in Massachusetts? The most popular types of Real World Evidence Rwe jobs in Massachusetts are:
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What cities in Massachusetts are hiring for Remote Real World Evidence Rwe jobs? Cities in Massachusetts with the most Remote Real World Evidence Rwe job openings:
Remote Real World Evidence Rwe jobs near you
Real World Evidence/HEOR Contractor

Real World Evidence/HEOR Contractor

Amylyx Pharmaceuticals

Cambridge, MA • Remote

Other

Posted 3 days ago

Job description

The Opportunity

This Real World Evidence (RWE)/Health Economics (HEOR) Contractor role supports the RWE/HEOR Senior Director in leading RWE execution for pipeline assets. The role is fun and flexible with a mix of both study execution and data analytics. This person will be accountable for developing and delivering components of the evidence generation plan (including RWE and economic value evidence), and driving high-quality deliverables that inform internal decision-making during product development, pre-launch readiness, and lifecycle planning. The role is anchored to 1-2 priority pipeline assets/indications.

This is a remote role based with flexible hours. We are currently seeking an individual with 20-30 hours of weekly availability with potential to increase hours in late 2026/2027.

Responsibilities

  • Evidence strategy and planning: Maintain US RWE & HEOR plans for 1-2 priority pipeline assets/indications, aligned to US medical, payer, and access needs; translate strategy into actionable workplans, timelines, and resourcing proposals.
  • Study leadership (RWE/HEOR): Own day-to-day leadership for assigned real-world evidence and health outcomes studies (e.g., real-world evidence studies, cost-effectiveness/budget impact analyses, burden of illness, treatment patterns, patient-focused outcomes) including design and execution in partnership with internal functions and external vendors.
  • Scientific communication and quality: Draft/review project specifications, protocols, statistical analysis plans, study reports, abstracts, posters, and manuscripts; ensure adherence to SOPs and high scientific/operational quality.
  • Analytic execution and statistics: Execute ad hoc analyses in clinical trial, claims and PCOR data as needed for ad hoc and protocol/SAP driven analyses. This may include feasibility or full protocol execution.
  • Governance, compliance, and capability building: Complete required training, adhere to company/department SOPs, and contribute to continuous improvement of processes that enable efficient planning, execution, and dissemination of RWE & HEOR deliverables.

Required Qualifications

  • Master's degree or PhD in epidemiology, health economics and outcomes research, public health, biostatistics, or related discipline.
  • At least 1+ years of experience in the pharmaceutical industry and/or managed care, hospital, academic, or healthcare consulting environment with exposure to HEOR/RWE strategy and application
  • Proficiency with SAS and/or R for statistical programming. Preference for experience in clinical trials OR claims data.
  • Expertise in RWE and study designs/methods evidenced by publications and/or contributing to study concept sheets and protocols, reviewing/authoring key sections of statistical analysis plans and study reports, and ensuring publication/disclosure readiness in accordance with ICJME criteria
  • Strong communication and presentation skills, demonstrated by developing and presenting clear, decision-oriented materials (e.g., evidence strategy slides, executive readouts) and summarizing outcomes/next steps for senior audiences

Preferred Qualifications

  • Demonstrated success developing and executing health outcomes research plans and delivering high-quality data generation outputs.
  • Experience managing real-world data sources and vendors (e.g., claims, EHR, registries) and translating findings into actionable insights and value messages.
  • Demonstrated ability to influence without authority in a matrix environment, evidenced by aligning cross-functional stakeholders on objectives/trade-offs, documenting decisions, and driving actions to closure.
  • Experience in PCOR implementation and validation

Work Location and Condition

  • At Amylyx, we proudly support remote work opportunities within the United States. However, due to business considerations related to health insurance coverage and state tax regulations, we are unable to hire employees who reside and/or work in certain states. Currently, we are not considering applicants from Alaska, Arizona, Hawaii, Michigan and Tennessee.
  • You must have access to work in setting that meets all requirements of the role (including privacy, reliable internet access, phone, ability to communication via video conference, etc.) at your remote location

Apply