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Remote Causal Inference Jobs (NOW HIRING)

Audiohook

Data Scientist

Eden, UT · On-site +1

Apply causal inference methods -- difference-in-differences, synthetic controls, instrumental ... Communicate clearly and proactively in a remote-first environment Qualifications Required

CSC Generation

Remote -- US or Canada \\n About the Role As our Staff Data Scientist , you will design and ship ... Strong grounding in causal inference and experimental design, including the ability to distinguish ...

Airbnb

Staff Data Scientist - Long Term Impact

$200K - $242K/yr

Develop and apply causal inference methods, including experimental, econometric regressions, and ... This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · Remote

$60K - $85K/yr

... causal inference is strongly preferred The initial appointment is for a one-year period, with the possibility for renewal. This position is fully remote - no on-campus presence is required. Position ...

Reddit

Staff Data Scientist, Marketing

We're completely remote friendly. Team Description: The Marketing Science team at Reddit leverages ... We serve as the engine behind our growth, using advanced experimentation, causal inference, and ...

Northbeam

Senior Data Scientist

$170K - $200K/yr

We're a remote-friendly company with offices in San Francisco and Los Angeles. About the Role We ... This is an applied data science role focused on translating statistical and causal inference ...

RTI International

Senior Biostatistician

Raleigh, NC · On-site +1

This role may be hybrid or fully remote, with a strong preference for candidates located in North ... Demonstrated experience with causal inference methods (e.g., propensity score methods, weighting ...

RTI International

Senior Biostatistician

This role may be hybrid or fully remote, with a strong preference for candidates located in North ... Demonstrated experience with causal inference methods (e.g., propensity score methods, weighting ...

2U

Data Scientist II

Washington, DC · On-site +1

Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

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How much do remote causal inference jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote causal inference in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

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.

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.
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Remote Causal Inference jobs near you
Infographic showing various Remote Causal Inference job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 81% Full Time, 10% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Director, Epidemiology Causal Inference

Director, Epidemiology Causal Inference

RTI International

Glassboro, NJ • On-site, Remote

Full-time

Re-posted 16 days ago

Job description


About the Hiring Group

RTI Health Solutions (RTI-HS), a wholly owned subsidiary of RTI International, is an independent and internationally recognized research organization. With offices in the US, UK, Spain, France, and Sweden, we provide healthcare consulting and research expertise to optimize decision making for pharmaceutical, biotechnology, and medical device products across the development and marketing lifecycle. Clients rely on our expertise, quality standards, and integrity to guide their product development and regulatory and market access strategies. Our various practice areas include Value, Access, and HEOR; Patient-Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth.

The Epidemiology / Regulatory Real-World Evidence (RWE) team, within RTI-HS is currently based in the US (NC, MA, other), and Spain (Barcelona). We are active members of the International Society for Pharmacoepidemiology (ISPE) and the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP) and the Information about our studies can be found in RTI Health Solutions (RTI-HS) | HMA-EMA Catalogues of real-world data sources and studies

Remote work options within the EU/UK are available, with Barcelona as the preferred work location
 

At RTI-HS, you will be provided with the opportunity to conduct meaningful work in a collaborative, cross-functional environment and flexible work schedule.

 


What You'll Do

We are looking for an individual with the right combination of skills and experience to support our research focused on the strategy, design, and implementation of pharmacoepidemiologic and other regulatorygrade realworld evidence (RWE) studies.

In this role, you will provide leadership in causal inference methods, including target trial emulation, and guide the design and implementation of these research activities, ensuring robust application of causal inference throughout the research process.

You will:

  • Lead the development of study protocols and contribute to statistical analysis plans.
  • Review analytical outputs, interpret results, and develop study reports and manuscripts.
  • Lead proposal development and oversee project delivery from initiation to completion.
  • Mentor colleagues and contribute to the development of internal scientific capabilities.
  • Support interactions with clients and research partners throughout the research lifecycle.

To be successful in this role, you will possess:

  • Strong written, verbal, and presentation skills, with the ability to communicate effectively in a collaborative, crossfunctional environment.
  • The ability to establish and maintain effective working relationships with research and operations staff, partners, and clients across multiple locations and under tight timelines.
  • Experience leading projects, including document writing, budget planning, proposal development, and project communications,  and the ability to support other project leads when needed.

What You'll Need
  • PhD in Epidemiology or equivalent, life sciences background, computational/AI epidemiology highly valued
  • At least 10 years of experience in the field of pharmacoepidemiology/ regulatory grade RWE with publications in peer reviewed journals and participation in professional societies, and working groups
  • Solid training in causal inference with evidence of applied research leadership and implementation with publications in peer reviewed journals and participation in professional societies, working groups and networks
  • Demonstrated understanding of good pharmacoepidemiology/RWE practice and international research networks in pharmacoepidemiology
  • Ability to perform duties that require close attention to detail.
  • Experience working within or with pharmaceutical companies or within an established pharmacoepidemiology research organization is highly valued.
  • Working language is English, additional languages valued.
Qualifications:
  • PhD in Epidemiology or equivalent, life sciences background, computational/AI epidemiology highly valued
  • At least 10 years of experience in the field of pharmacoepidemiology/ regulatory grade RWE with publications in peer reviewed journals and participation in professional societies, and working groups
  • Solid training in causal inference with evidence of applied research leadership and implementation with publications in peer reviewed journals and participation in professional societies, working groups and networks
  • Demonstrated understanding of good pharmacoepidemiology/RWE practice and international research networks in pharmacoepidemiology
  • Ability to perform duties that require close attention to detail.
  • Experience working within or with pharmaceutical companies or within an established pharmacoepidemiology research organization is highly valued.
  • Working language is English, additional languages valued.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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