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Phd Causal Inference Jobs in Rochester, NY (NOW HIRING)

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Phd Causal Inference information

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$39.5K

$121.3K

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How much do phd causal inference jobs pay per year?

As of Sep 12, 2026, the average yearly pay for phd causal inference in Rochester, NY is $121,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $136,200.00 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.

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Phd Causal Inference jobs near you
Infographic showing various Phd Causal Inference job openings in Rochester, NY as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $121,290 per year, or $58.3 per hour.

Assistant Professor (Tenure Track)

Rochester, NY • On-site

Statistics Interest Group
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Posted 2 days ago

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Job description

University of Rochester – Assistant Professor (Tenure Track) Company Name University of Rochester Position Title Assistant Professor (Tenure Track) Company Information

The Department of Biostatistics & Computational Biology (DBCB), located on the Health Sciences Campus, currently has 20 faculty members with methodological research interests collectively spanning a broad cross-section of topics in biostatistics and statistics; examples include clinical trial design (including adaptive and SMART trials), causal inference, longitudinal data, survival analysis, Bayesian methods, analysis of social and biological network data, systems biology, and the analysis of large-scale data sets (e.g., from high-throughput genome sequencing and imaging applications). DBCB faculty also collaborate with over 30 departments and centers, including the Departments of Biomedical Genetics, Medicine, Neurology, Pediatrics and Psychiatry; the Eastman Institute for Oral Health; the NCI-designated Wilmot Cancer Institute; the Center for Health + Technology; the Environmental Health Sciences Center; the Genomics Research Center; and, the Clinical and Cardiovascular Research Center. These collaborations provide a rich source of data and pose novel methodological challenges. Many faculty hold joint appointments in the departments or centers in which they collaborate. The Department offers a highly regarded PhD program in Statistics; it also runs two master’s degree programs. Many graduates of these programs have gone on to distinguished careers in academia or industry. The DBCB also supports several postdoctoral fellows, master’s-level statisticians and programmers.

Duties and Responsibilities

The Department of Biostatistics and Computational Biology (DBCB) at the University of Rochester (UR) is seeking highly qualified applicants for a tenure-track assistant professor position. The DBCB has a strong preference for attracting applicants with dual interests in the development of statistical/computational methodology and collaborative biomedical research; successful candidates will possess the research skills and experience required to become leaders in both dimensions. Although applications are welcomed from all corners of biostatistics and will be reviewed carefully, ideal candidates will have expertise and interests in: clinical trial design, including Bayesian adaptive design; gene-trait association studies; omics-informed precision medicine; spatial transcriptomics and/or functional genomics. Each of these areas offers strong opportunities for collaboration with faculty across the UR Medicine health system, and either aligns with or complements departmental strengths. Training or expertise in related areas such as casual inference, Bayesian inference, high-dimensional data analysis, machine learning, data integration and data visualization are highly desirable.

Position Qualifications

Doctoral degree in biostatistics, statistics, or a strongly related discipline with equivalent training. In addition to strong potential for research, successful candidates will have excellent oral and written communication skills and high enthusiasm for graduate teaching and advising.

Application Deadline 10/31/2026
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