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What are the key skills and qualifications needed to thrive as a Remote Causal Inference Specialist, and why are they important?

To thrive as a Remote Causal Inference Specialist, you need strong quantitative and statistical skills, a solid background in econometrics or data science, and typically an advanced degree in a related field. Proficiency with statistical programming languages such as R or Python, experience with causal inference frameworks like propensity score matching or instrumental variables, and familiarity with data visualization tools are crucial. Outstanding problem-solving abilities, clear communication, and self-motivation are essential soft skills for working independently and conveying complex results to non-technical stakeholders. These skills enable accurate, actionable insights from data, which drive evidence-based decision-making in remote, collaborative environments.

How does a remote Causal Inference specialist typically collaborate with cross-functional teams, and what tools are commonly used?

As a remote Causal Inference specialist, you’ll frequently work with data scientists, product managers, and engineers to design and interpret experiments, analyze observational data, and provide actionable insights. Collaboration usually happens through regular video meetings, shared documentation, and project management tools. Commonly used platforms include Slack or Microsoft Teams for communication, GitHub for code collaboration, and Jupyter Notebooks or RMarkdown for sharing reproducible analyses. These tools help ensure transparency and maintain strong teamwork despite the remote environment.

What is a Remote Causal Inference job?

A Remote Causal Inference job involves using statistical and analytical methods to determine cause-and-effect relationships from data, often for fields like healthcare, social sciences, or business. Professionals in this role work remotely, leveraging tools such as R, Python, or specialized software to analyze experiments, observational studies, or large datasets. Their insights help organizations make data-driven decisions, design better interventions, and accurately measure the impact of policies or treatments. Strong skills in statistics, machine learning, and communication are essential for success in this position.
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Infographic showing various Remote Causal Inference job openings in Tennessee as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Advisor - International Drug Pricing Subject Matter Expert

Senior Advisor - International Drug Pricing Subject Matter Expert

Oak Ridge Associated Universities

Oak Ridge, TN • On-site, Remote

$89 - $95/hr

Other

Posted 15 days ago

Job description

Senior Advisor - International Drug Pricing Subject Matter Expert
Job Locations US
ID 2026-2021
Category Environmental, Safety & Health
Overview

Position Title: Senior Advisor - International Drug Pricing
Project Supported: GENEROUS, GLOBE, and GUARD
Effort: 10-20 hours/week
Work Location: Remote
Salary: $89 - $95 per hour

Overview
ORAU is seeking a fully remote Senior Advisor - International Drug Pricing to support the Centers for Medicare and Medicaid Services Innovation Center (CMMI) as an ORAU employee. In this part-time role (up to 20 hours per week), the Senior Advisor will provide highlevel subject matter expertise on international drug reimbursement, net price reporting, and global pharmaceutical market structures. This position is expected to extend for 11 months or longer.

This opportunity is well suited for a seasoned expert with deep knowledge of international pharmaceutical payment systems, strong quantitative research skills, and experience in U.S. health policy.

Responsibilities

This role requires a sophisticated understanding of scientific and policy issues, advanced independent analysis, and the ability to operate within broad guidelines without precedent. The Senior Advisor will support designing international net price reporting tools and methodologies for the GENEROUS, GLOBE, and GUARD models, drawing on expertise in international drug payment systems, pharmaceutical reimbursement, pharmacoepidemiology, and quantitative research.

    Providing expert input on the design of international net price reporting requirements for the three reference pricing models.
  • Reviewing and auditing manufacturer submissions for GENEROUS, GLOBE, and GUARD.
  • Advising CMMI leadership on policy, legal, financial, political, and evaluation considerations related to international drug pricing methodology.
  • Contributing to blogs, op-eds, papers, and technical documents that explain model design and international price mapping strategies.
  • Conducting or supporting analyses of drug reimbursement schemes across reference basket countries.
Qualifications
  • A PhD or DrPH in Health Services Research, Pharmacoepidemiology, Health Policy, Public Policy, Economics, Advanced Quantitative Methods, Pharmacoeconomics, or a related field.
  • 10-14 years of relevant experience.
  • Graduate training in clinical pharmacy or pharmaceutical sciences.
  • Doctorate-level research training.
  • Demonstrated expertise in international drug payment systems in at least one reference basket country (experience in multiple countries preferred).
  • Advanced quantitative research capabilities, including causal inference, econometrics, claims analysis, study design, and cost measurement.
  • A strong record of peerreviewed publications.
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