2

Remote Causal Inference Jobs (NOW HIRING)

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 ...

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 ...

New

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 ...

We're completely remote friendly Team Description: The Data Science Team at Reddit is expanding ... Teams you have led had expertise in causal inference, A/B testing experimentation, metric ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Design and analyze experiments, including A/B tests and causal inference studies, to evaluate ... Fully remote position with the flexibility to work from the Netherlands and across eligible ...

... causal inference, and sequence analysis solutions using modern data science and cloud-based ... remote-sensing, or satellite imagery datasets. • Hands-on experience with geospatial analytics ...

New

Continuing education in econometrics, causal inference, or data visualization tools strongly ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

... causal inference, decision transformers) into production-hardened AIOps tools Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is ...

next page

Showing results 1-20

Remote Causal Inference information

See salary details

$16

$56

$81

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.
More about Remote Causal Inference jobs
What cities are hiring for Remote Causal Inference jobs? Cities with the most Remote Causal Inference job openings:
What are the most commonly searched types of Causal Inference jobs? The most popular types of Causal Inference jobs are:
What states have the most Remote Causal Inference jobs? States with the most job openings for Remote Causal Inference jobs include:
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.
Senior Biostatistician

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 15 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.
We are currently seeking a Senior Biostatistician to join our growing Biostatistics team. In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real-world data. You will contribute to the development of statistical analysis plans, conduct analyses, and support proposal development under limited supervision while collaborating closely with multidisciplinary project teams on regulatory-grade research deliverables.
This role may be hybrid or fully remote, with a strong preference for candidates located in North Carolina.
As part of the application process, candidates are required to submit a short cover letter outlining their relevant experience and alignment with the role.
What You'll Do
  • Plan, conduct, and document statistical analyses for observational studies and clinical trials, with an emphasis on causal inference methods.
  • Implement target trial emulation analyses using real-world data sources.
  • Develop simple to moderately complex statistical analysis plans and contribute to more complex SAPs under supervision.
  • Write statistical sections of study reports, protocols, and proposals.
  • Ensure the quality, accuracy, and timeliness of statistical analyses and programming outputs.
  • Provide statistical and methodological solutions to internal, cross-functional project teams.
  • Mentor and oversee less experienced staff on selected project tasks.
  • Learn and apply new statistical methods in response to evolving project and research needs.
  • Contribute to the scientific reputation and professional development of the biostatistics group and prepare presentations for external audiences.

To be successful in this role, you will have strong analytical, organizational, and problem-solving skills; a high level of written and verbal communication skills, and the ability to manage multiple tasks, meet timelines, and work effectively in collaborative team environments.
What You'll Need
  • Master's degree and 6 years of experience, PhD and 1 years of experience, or equivalent combination of education and experience.
  • Demonstrated programming skills in R (required), including experience developing reproducible analysis pipelines.
  • Demonstrated experience with causal inference methods (e.g., propensity score methods, weighting, marginal structural models)
  • Demonstrated experience analyzing real-world data (e.g., claims, electronic health records, registries).
  • Familiarity with SAS, machine learning, and natural language processing is desirable but not required.
  • Background in biostatistics or related quantitative disciplines.
  • Knowledge of Good Clinical Practice (GCP), quality assurance principles, and regulatory environments.

Preferred:
  • Experience in the pharmaceutical industry.
  • Target trial emulation experience.

#LI-BM1
EEO & Pay Equity Statements
For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.
RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer.
At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.
Hiring Salary Range
$110,000.00-$130,000.00