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Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Our interns have an opportunity to make core algorithmic advances and apply their ideas at an ...

Meta

Corporate FP&A Manager

Menlo Park, CA · On-site

$149K - $212K/yr

The Finance and Business Planning (FBP) team oversees Meta's headcount, operating expenses and ... and accuracy reviews) • Demonstrated ongoing AI skill development (e.g., prompt/context ...

Meta

Data Science Director

Menlo Park, CA · On-site

$253K - $314K/yr

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will ... and accuracy reviews) • Demonstrated ongoing AI skill development (e.g., prompt/context ...

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As of Jul 15, 2026, the average hourly pay for internship systematic review meta analysis in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.
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Associate Director, Real World Evidence (RWE) Science

Associate Director, Real World Evidence (RWE) Science

Ubertal Inc

Waltham, MA • Remote

Contractor

Re-posted 28 days ago

Job description

Job Title: Associate Director, Real World Evidence (RWE) Science – Phase IV / Post-Approval (Contract)

Location: United States (Remote; Eastern Time business hours preferred)
Duration: 7-Month Contract (Full-Time, 40 hours/week)
Start: Targeting Early March 2026

We are seeking an experienced Associate Director, Real World Evidence (RWE) Science to provide coverage for a Phase IV / post-approval RWE portfolio within a global Medical Affairs environment. This is a senior-level individual contributor role requiring deep epidemiology and real-world evidence expertise, strong methodological leadership, and the ability to independently manage ongoing studies with minimal ramp-up.

This position supports global stakeholders, including Europe, and requires flexibility for early morning meetings aligned to EU collaboration.

Key Responsibilities

  • Lead scientific oversight of Phase IV and post-approval real-world evidence (RWE) and observational studies

  • Provide methodological and technical leadership for study design, feasibility assessments, and evidence planning (EU focus)

  • Oversee vendors/CROs conducting outsourced analyses; review protocols, statistical analysis plans, and outputs to ensure scientific rigor

  • Conduct and/or supervise systematic literature reviews (SLRs) and meta-analyses

  • Contribute to development of RWE plans aligned with regulatory, HTA, and post-approval commitments

  • Support retrospective analyses leveraging real-world data sources (claims, EHR, registries)

  • Guide protocol development for observational studies and pragmatic trials

  • Perform evidence reviews to inform regulatory submissions, reimbursement strategy, and medical strategy

  • Collaborate with Regional Medical Affairs on scientific exchange and external RWE engagement

  • Support development of abstracts, posters, manuscripts, and internal scientific communications

Required Qualifications

  • Advanced degree (MD, PhD, or MS) in Epidemiology, Biostatistics, Public Health, or related field

  • 8–10+ years of progressive experience in epidemiology and real-world evidence

  • Minimum 5 years of Pharma or Biotech industry experience

  • Strong expertise in:

    • Phase IV / post-approval epidemiologic study design

    • Retrospective real-world data (RWD) analyses

    • Observational research methodologies

  • Experience overseeing vendors/CROs and critically evaluating statistical methodologies

  • Proficiency with statistical software (R, SAS, Stata) and strong understanding of claims/EHR data structures

  • Demonstrated ability to work autonomously in a global, matrixed environment

  • Flexibility to support EU collaboration across time zones

Preferred Qualifications

  • Experience supporting regulatory or HTA-facing RWE deliverables

  • Vaccines, infectious disease, or public health epidemiology background

  • Experience with systematic literature reviews and meta-analyses

  • R programming skills, including simulations, power calculations, or Shiny applications

  • Experience with data extraction, cleaning, and standardization for RWD

  • Prior authorship of scientific publications and presentations

  • Experience supporting EU feasibility assessments and RWE expectations

Role Highlights

  • Senior-level RWE leadership without people management responsibilities

  • High-visibility Phase IV and real-world effectiveness portfolio

  • Global collaboration with strong EU engagement

  • Remote flexibility within the United States

Qualified candidates with deep RWE and epidemiology expertise, strong methodological grounding, and Phase IV experience in Pharma/Biotech are encouraged to apply.