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Causal Inference Jobs in Baltimore, MD (NOW HIRING)

Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...

Senior Engineer, Data and AI

Annapolis, MD · On-site

$104K - $142K/yr

Solid grounding in statistical methods and experimental design (e.g., hypothesis testing, regression, causal inference) to validate models and ensure sound decision-making.MLOps/LLMOps: Experience ...

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Causal Inference information

See Baltimore, MD salary details

$54.6K

$98.6K

$134.6K

How much do causal inference jobs pay per year?

As of Sep 10, 2026, the average yearly pay for causal inference in Baltimore, MD is $98,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $107,800.00 per year, depending on experience, location, and employer.

What is a causal inference?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What skills and qualifications are needed for a causal inference position?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What are common challenges faced in a causal inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What are the most commonly searched types of Causal Inference jobs in Baltimore, MD?

The most popular types of Causal Inference jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Causal Inference jobs?

Cities near Baltimore, MD with the most Causal Inference job openings:

Infographic showing various Causal Inference job openings in Baltimore, MD as of September 2026, with employment types broken down into 5% Internship, 79% Full Time, 14% Part Time, and 2% Contract. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution, with an average salary of $98,600 per year, or $47.4 per hour.

Postdoctoral Fellow (Civil and Systems Engineering)

Baltimore, MD • On-site

Johns Hopkins University
Colleges, Universities, and Professional Schools • 10K+ employees

$48K - $66K/yr

Full-time

Medical, Life, Retirement

Re-posted 17 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

191st of 633 rated colleges and universities


Job description

Description
The Xu Lab in the Department of Civil and Systems Engineering at Johns Hopkins University is recruiting a postdoctoral researcher to work on problems at the intersection of natural hazards and AI. We are looking for a candidate interested in developing rigorous sensing frameworks and AI methods for complex human-infrastructure-environment systems, with applications to disaster risk, disaster response, and disaster recovery. The position is ideal for researchers who want to combine methodological innovation with real-world impacts.
Research in the lab focuses on generative modeling, causal inference, multimodal remote/in-situ/crowd sensing, LLMs for high-stake decision-making with applications on rapid disaster mapping and response, community resilience, and smart infrastructure systems. We welcome applicants from computer science, statistics, civil engineering, systems engineering, geoinformatics, and related fields. Experience in natural hazards, optimization, causal inference, foundation and generative models, remote sensing, multimodal sensing, infrastructure systems, or multi-agent LLMs is a plus.
The postdoctoral researcher is expected to:
• lead and collaborate on interdisciplinary research projects
• publish in top venues across machine learning and natural hazards domains
• mentor students and contribute to a collaborative research environment
This position offers substantial flexibility in shaping research direction while working on societally important problems with strong methodological depth.
Please attach the following materials:
• CV
• a brief statement of research interests
• contact information for references
• selected publications or writing samples
Qualifications
Doctoral degree in a related field.
Equal Employment Opportunity Statement
Salary Range
The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.
Pre-Employment Information
If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.
Background Checks
After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.
EEO is the Law
https://www.eeoc.gov/employees-job-applicants
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.
Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.
The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

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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