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Causal Inference Data Science Jobs (NOW HIRING)

Neura Market

... strong causal inference expertise to join the Community Support Data Science team. You'll partner closely with the area's tech lead on high-impact projects spanning AI-powered products ...

YO AI Labs

Data Scientist

Glendale, CA · On-site

Robust knowledge of causal inference approaches such as propensity scores, synthetic controls ... MS in computer science, statistics, math or a related quantitative field +5 years of relevant ...

Experimentation Jobs

$150 - $200/hr

Additionally, you will empower the Data Science team to use more rigorous causal inference methods while conducting your own research on important Discord priorities. #J-18808-Ljbffr

YO AI Labs

Data Scientist

Glendale, CA · On-site

Must Have: Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search ... Advanced Statistical & Causal Inference: Apply deep knowledge of experimental design, regression ...

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Required Qualifications * 3+ years of applied Data Science experience. * Strong experience with causal inference, causal ML, econometrics, or experimentation. * Experience measuring treatment effects ...

Vacations Worldwide

Contract This contract role sits in MarTech Data Science Measurement, the team that empowers ... Platform inference work in a marketing context means building the causal machinery behind budget ...

airbnb, Inc.

You will join the Payments Data Science organization, which sits at the intersection of Trust and ... This data scientist will perform careful hypothesis generation, causal inference framework ...

Upenn

$85K/yr

... Social Sciences. The position is for a postdoctoral researcher in causal inference with ... health (mHealth) data. * Developing novel causal inference methods to reconcile possibly ...

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How much do causal inference data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for causal inference data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Causal Inference Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Postdoctoral Research Position in Causal Inference

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Harvard Universityexternal

$75K/yr

Full-time

Re-posted yesterday

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Position
Details
Title
Postdoctoral Research Position in Causal Inference
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
We invite applications for a full-time Postdoctoral Research Fellow to join the causal inference team supervised by Professor Francesca Dominici. The position will focus on developing and applying novel causal inference methods for large-scale observational studies, with a particular emphasis on environmental exposures and public health. Core data resources include nationwide claims, linked with rich contextual information such as census data, weather records, and high-resolution air pollution and related environmental exposures data.
Motivated by relevant public health and policy questions, the goal is to develop methodologies for the identification, estimation, transportability, and generalization of the causal effects in complex real-world settings. Among others, methodological areas will span:
• Causal inference for spatiotemporal data,
• Methods for heterogeneous treatment effects estimation,
• Methods for multiple exposures, multiple outcomes,
• ML and AI methods for causal inference,
• Bayesian causal inference,
• methods for transportability and generalizability of causal effects across space, time, and populations.
Duties and Responsibilities
• Design, develop and implement novel causal inference methods in the areas listed in the position description.
• Work with large, high-dimensional datasets.
• Lead and contribute to manuscripts for high-impact journals (e.g., top Statistics journals and Nature-like journals).
• Present findings in internal meetings and at national/international conferences.
• Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists.
• Contribute to open-source code and reproducible pipelines.
Basic Qualifications
• PhD (completed or near completion) in Statistics, Biostatistics, Data Science, Computer Science or a closely related field.
• Demonstrated expertise in causal inference, with interest in methods development.
• Experience with statistical and ML methods, including at least one of the following: Bayesian methods, deep learning, spatiotemporal modeling, high-dimensional statistics.
• Proficiency in statistical programming (R and/or Python) and good practices for reproducible research.
• Experience working with large datasets and cloud computing environments.
• Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career stage.
• Ability to work in a collaborative, interdisciplinary environment.
Additional Qualifications
Prior experience with one or more of:
• Health claims data, EHRs, or other large-scale health/administrative datasets.
• Environmental, climate, or air pollution exposure data.
Familiarity with LLMs.
Special Instructions
Please submit the following materials:
• Cover letter describing your research interests, relevant experience, and fit for this position.
• Curriculum vitae including a list of publications.
• One to three representative publications or preprints.
Names and contact information for 2-3 references.
Contact Information
Catherine Adcock
Contact Email
catherine_adcock@harvard.edu
Salary Range
$75,000
Minimum Number of References Required
2
Maximum Number of References Allowed
3
Keywords
Causal inference; spatiotemporal modeling; generalizability; transportability; environmental health

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