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Phd Causal Inference Jobs in Haddonfield, NJ (NOW HIRING)

... comparisons, causal inference methods, surrogate endpoint validations, etc.) to support market ... PhD, PharmD, or MD Experience * Minimum 8 years of relevant experience in pharmaceutical, biotech ...

... comparisons, causal inference methods, surrogate endpoint validations, etc.) to support market ... PhD, PharmD, or MD Experience * Minimum 8 years of relevant experience in pharmaceutical, biotech ...

Conduct causal inference studies and exploratory analyses to measure the impact of strategic ... Masters or PhD degree in Computer Science, Analytics, Data Science, Mathematics or related field or ...

Conduct causal inference studies and exploratory analyses to measure the impact of strategic ... Masters or PhD degree in Computer Science, Analytics, Data Science, Mathematics or related field or ...

Phd Causal Inference information

See Haddonfield, NJ salary details

$38.5K

$118.4K

$172K

How much do phd causal inference jobs pay per year?

As of Jul 31, 2026, the average yearly pay for phd causal inference in Haddonfield, NJ is $118,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $132,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Causal Inference researcher, and why are they important?

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 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 cities near Haddonfield, NJ are hiring for Phd Causal Inference jobs? Cities near Haddonfield, NJ with the most Phd Causal Inference job openings:
Infographic showing various Phd Causal Inference job openings in Haddonfield, NJ as of July 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $118,427 per year, or $56.9 per hour.

Biostatistics - Assistant Professor Positions in Causal Inference

University of Pennsylvania

Philadelphia, PA • On-site

Full-time

Re-posted 16 days ago


University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

153rd of 614 rated colleges and universities


Job description

Description
The Department of Biostatistics, Epidemiology and Informatics (DBEI) at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for several Assistant Professor positions in either the non-tenure clinician educator track or the tenure track. Expertise is required in the specific area of causal inference methods development and applications, with the ability to establish oneself as a research leader in their area of specialization. Applicants must have a Ph.D. or equivalent degree.
Teaching responsibilities may include participation in biostatistics PhD and MS training programs, as well as teaching biostatistics courses in epidemiology, health policy, and other biomedical programs. Candidates are expected to have a strong commitment to teaching and mentoring.
Research or scholarship responsibilities may include the development of innovative leading-edge statistical methodology as well as collaborative research projects within the Perelman School of Medicine.
The University of Pennsylvania is a vibrant team-science-oriented environment with elite biomedical research collaborators that is ideal for biostatistical collaboration and application-driven methodological research. The Division of Biostatistics includes over 30 full-time faculty with diverse expertise spanning numerous methodological and biomedical areas, and we have strong, highly ranked, and growing MS and PhD programs in which we train the next generation of innovative quantitative leaders. The placement of Biostatistics in the Perelman School of Medicine with world-class medical, biological, and population scientists, as part of an integrated campus including the Wharton School of Business, School of Arts and Sciences, and the School of Engineering and Applied Science and other premier biomedical research institutions including the Children's Hospital of Philadelphia provides the ideal setting for cross-disciplinary collaboration and impactful quantitative research.
Please contact Cathy Vallejo for questions: vallejo@pennmedicine.upenn.edu
We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply.
Equal Employment Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.

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About University of Pennsylvania

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The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

Year founded

1740