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Phd Causal Inference Jobs in Salem, MA (NOW HIRING)

Doctoral degree (PhD) in Epidemiology, Environmental Health, Biostatistics, Child Development ... Knowledge of causal inference methods (e.g., propensity score analysis, directed acyclic graphs ...

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * 5+ years ... Experience with causal inference and measurement methods for analyzing the impact of models on ...

Senior Data Scientist - Hybrid

Boston, MA · On-site

$125K - $150K/yr

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * 5+ years ... Experience with causal inference and measurement methods for analyzing the impact of models on ...

Senior Data Scientist - Hybrid

Boston, MA · On-site

$125K - $150K/yr

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * 5+ years ... Experience with causal inference and measurement methods for analyzing the impact of models on ...

Showing results 21-40

Phd Causal Inference information

See Salem, MA salary details

$43.7K

$134.3K

$195K

How much do phd causal inference jobs pay per year?

As of Sep 3, 2026, the average yearly pay for phd causal inference in Salem, MA is $134,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $150,800.00 per year, depending on experience, location, and employer.

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.

What cities near Salem, MA are hiring for Phd Causal Inference jobs?

Cities near Salem, MA with the most Phd Causal Inference job openings:

Infographic showing various Phd Causal Inference job openings in Salem, MA as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $134,321 per year, or $64.6 per hour.

Postdoctoral Research Fellow

Northeastern University

Boston, MA • On-site

$60K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

About the Opportunity
JOB SUMMARY
The Postdoctoral Research Fellow will conduct independent and collaborative research at the intersection of epidemiology, environmental health, biostatistics, and child development. The Fellow will contribute to the design, execution, and dissemination of research examining how early environmental exposures, including biological, social, and physical factors, influence child developmental outcomes. The Fellow is expected to demonstrate methodological rigor, intellectual initiative, and the ability to translate complex quantitative findings for multidisciplinary audiences.
QUALIFICATIONS
Required:
  • Doctoral degree (PhD) in Epidemiology, Environmental Health, Biostatistics, Child Development, Public Health, or a closely related discipline
  • Demonstrated expertise in quantitative research methodology and advanced statistical analysis, including experience with large longitudinal or population-level datasets
  • Background in at least two of the following areas: epidemiological methods, environmental health science, developmental psychology or pediatric research, or biostatistics

Preferred:
  • Experience with early childhood cohort studies or mother-infant research paradigms
  • Familiarity with environmental exposure assessment (e.g., PFAS, air quality, nutritional biomarkers, or toxicant exposure in early life)
  • Experience analyzing associations between perinatal or postnatal environmental exposures and neurodevelopmental, behavioral, or health outcomes in children
  • Knowledge of causal inference methods (e.g., propensity score analysis, directed acyclic graphs, mediation analysis)
  • Grant writing experience and/or demonstrated success in securing external funding
  • Experience mentoring graduate or undergraduate students in a research setting
  • Familiarity or experience with the Environmental influences to Child Health Outcomes national database

KEY RESPONSIBILITIES & ACCOUNTABILITIES
  • Design and execute statistical analyses of epidemiological and environmental health data, including longitudinal datasets from mother-infant cohort studies.
  • Apply advanced biostatistical methods (e.g., mixed-effects models, mediation analysis, survival analysis) to examine associations between early environmental exposures and child developmental outcomes.
  • Lead the preparation and submission of peer-reviewed manuscripts.
  • Contribute to the development of grant applications targeting environmental health, child development, or epidemiological research.
  • Present findings at national and international conferences.
  • Collaborate with multidisciplinary teams spanning environmental science, pediatrics, developmental psychology, and public health.
  • Assist with laboratory management, IRB protocols, and data governance. Mentor and support graduate and undergraduate students in research methodology, statistical software, and scientific writing.
  • Contribute to the coordination and management of ongoing research studies involving pediatric and maternal populations.

How to Apply.
Interested candidates should submit the following: 1. cover letter, 2. CV, 3. statement of research interests highlighting experience in Epidemiology, Environmental Health, Biostatistics or Child Development. Applications will be reviewed on an ongoing basis.
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.