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Remote Causal Inference Jobs in Boston, MA (NOW HIRING)

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 ...

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

Stay current with the latest methodological advances in RWE, including causal inference and ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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$18

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How much do remote causal inference jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote causal inference in Boston, MA is $61.72, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $73.12 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
Postdoctoral Research Associate

Postdoctoral Research Associate

NorthEastern

Boston, MA • Remote

$60K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

About the Opportunity

Northeastern University in Boston, Massachusetts is seeking a Postdoctoral Research Associate with strong research interests and expertise in investigating the social determinants of health. The focus of this role is on cognitive decline and dementia, with an emphasis on:

  • Applying epidemiologic, econometric, and other methods to strengthen causal inference

  • Working with multilevel, longitudinal data and quasi-experimental approaches

  • Exploring gender, racial/ethnic, and socioeconomic disparities

The Postdoctoral Research Associate will join an interdisciplinary team - including social epidemiologists, data scientists, and policy researchers - and will be involved in all aspects of the research process, including:

  • Analyzing rich datasets for publications

  • Developing and writing research proposals and publications

  • Participating in academic mentorship of graduate students

  • Presenting and disseminating research findings at professional conferences

  • Accessing career development resources through Northeastern University and the Greater Boston area

  • Coordinating one or more ongoing research projects (as opportunities arise)

  • Initiating independent research projects (as opportunities arise)

  • Participating in project team meetings, seminars, and actively contributing to research progress

Qualifications

  • Doctoral degree in epidemiology, social and behavioral sciences, public health, health economics, or a related field

  • Strong communication and writing skills

  • Experience in advanced epidemiologic and/or econometric methods to strengthen 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 Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

108S

Expected Hiring Range:

$60,315.00 - $85,192.50

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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