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Phd Causal Inference Jobs in Maryland (NOW HIRING)

GEICO

Staff Data Scientist, Product

Bethesda, MD · On-site

$115K - $230K/yr

... • Causal Inference: Apply causal methods (difference-in-differences, synthetic control ... MS or PhD in a quantitative discipline. • Industry: Insurance or financial services experience.

Geico

Staff Data Scientist, Product

Bethesda, MD · On-site

$115K - $230K/yr

Causal Inference: Apply causal methods (difference-in-differences, synthetic control, instrumental ... MS or PhD in a quantitative discipline. Industry: Insurance or financial services experience.

Geico

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses ... Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related ...

GEICO

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses ... Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related ...

Umd

Senior Faculty Specialist

College Park, MD

Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...

BullFrogAI

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Advanced degree (MS or PhD) in a quantitative field -- biology, computer science, engineering, or ... Causal inference experience -- a significant differentiator for this role * NLP/LLM expertise ...

BULLFROG AI MANAGEMENT LLC

Principal Data Scientist

Gaithersburg, MD · On-site +1

$175K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... PhD) in a quantitative field - biology, computer science, engineering, or related Experience 5+ ... Causal inference experience - a significant differentiator for this role NLP/LLM expertise applied ...

BullFrog AI Holdings, Inc.

Principal Data Scientist

Gaithersburg, MD · On-site +1

$175K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... PhD) in a quantitative field - biology, computer science, engineering, or related Experience • 5+ ... Causal inference experience - a significant differentiator for this role • NLP/LLM expertise ...

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Phd Causal Inference information

What is a PhD in causal inference?

A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.

What are the key skills and qualifications needed to thrive as a PhD causal inference researcher?

To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.

What collaborative opportunities can a PhD specializing in causal inference expect within a multidisciplinary research team?

PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.

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Phd Causal Inference jobs near you
Infographic showing various Phd Causal Inference job openings in Maryland as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution.

Postdoctoral Fellowship Opening: Statistical Methods for Health Policy

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 27 days ago

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

189th of 620 rated colleges and universities

Job description

Description
Postdoctoral Fellowship opening to work on applied causal inference, and especially statistical approaches for studying health policy, under the direction of Dr. Elizabeth Stuart and in collaboration with researchers at Weill Cornell conducting evaluations of mental health policies and services.
Projects will include policy evaluation methods and application, including through the use of large-scale claims and other health care data. Strong candidates also have a strong interest in the translation and dissemination of statistical methods to broad audiences.
Responsibilities will include statistical collaboration, methods development, methodological literature reviews, simulation studies, educational activities, data management and analyses, manuscript writing for journal publications, and presentations at scientific meetings. Individuals with training in quantitative methods, including Statistics, Biostatistics, Economics, Epidemiology, and Health Policy are welcome to apply. Knowledge of causal inference methods (especially policy evaluation approaches) and experience with statistical software such as Stata or R is required. Applicants will join a collegial and interdisciplinary team, and communication and collaboration skills are highly valued.
Successful candidates will receive competitive salaries (in the range $65,000-$75,000), as well as computing resources, travel support, and other benefits in accordance with departmental and university policies.
Questions about the position can be directed to Dr. Stuart (https://www.elizabethstuart.org/; estuart@jhu.edu).
Qualifications
  • PhD in Biostatistics, Statistics, Economics, Epidemiology, Health Policy, or a related quantitative field
  • Strong methodological and computational skills
  • Strong written and oral communication skills
  • Ability to work collaboratively with interdisciplinary teams

Application Instructions
Interested applicants should submit the following materials via Interfolio:
  • Cover letter expressing interest and fit for the position
  • Curriculum vitae
  • Contact information for three references

Application review will begin September 1, and applications will be considered until the position is filled. The start date is flexible, from November 2026 and beyond. The initial appointment is for one year, with reappointment for a second year provided satisfactory performance.

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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