Eric Tchetgen Tchetgen, with a focus on methodological developments for Causal Inference and related Missing Data Problems. The candidate is expected to build a clear path towards an independent ...
Eric Tchetgen Tchetgen, with a focus on methodological developments for Causal Inference and related Missing Data Problems. The candidate is expected to build a clear path towards an independent ...
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.
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.
This role is heavily focused on econometric modeling, time series analysis, and causal inference , with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate ...
This role is heavily focused on econometric modeling, time series analysis, and causal inference , with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate ...
Expertise is required in the specific area of longitudinal causal inference methods and/or the design, evaluation, and application of research methods, as well as a specific area of epidemiology ...
Expertise is required in the specific area of longitudinal causal inference methods and/or the design, evaluation, and application of research methods, as well as a specific area of epidemiology ...
Biostatistics - Associate or Full Professor, Tenure Track or Clinician-Educator in Causal Inference
Philadelphia, PA · On-site
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.
Biostatistics - Associate or Full Professor, Tenure Track or Clinician-Educator in Causal Inference
Philadelphia, PA · On-site
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.
Additional qualifications include: • A strong background and expertise in Bayesian statistical methods, causal inference, machine learning, pragmatic trial designs with cluster-randomization ...
Additional qualifications include: • A strong background and expertise in Bayesian statistical methods, causal inference, machine learning, pragmatic trial designs with cluster-randomization ...
Areas we are currently focusing on include, but are not limited to, imaging statistics, causal inference, and AI with applications within biostatistics. Applicants must have a Ph.D. or equivalent ...
Areas we are currently focusing on include, but are not limited to, imaging statistics, causal inference, and AI with applications within biostatistics. Applicants must have a Ph.D. or equivalent ...
Director, AI Experimentation & Measurement
Collegeville, PA · On-site
$162K - $271K/yr
What werequire Experience: 8+ yrs (Bachelor's) 7+ yrs (Master's) 5+ yrs (PhD), spanning experimentation, measurement science, causal inference, or a quantitatively rigorous discipline - paired with ...
Director, AI Experimentation & Measurement
Collegeville, PA · On-site
$162K - $271K/yr
What werequire Experience: 8+ yrs (Bachelor's) 7+ yrs (Master's) 5+ yrs (PhD), spanning experimentation, measurement science, causal inference, or a quantitatively rigorous discipline - paired with ...
$162K - $271K/yr
What werequire Experience: 8+ yrs (Bachelor's) 7+ yrs (Master's) 5+ yrs (PhD), spanning experimentation, measurement science, causal inference, or a quantitatively rigorous discipline - paired with ...
$162K - $271K/yr
What werequire Experience: 8+ yrs (Bachelor's) 7+ yrs (Master's) 5+ yrs (PhD), spanning experimentation, measurement science, causal inference, or a quantitatively rigorous discipline - paired with ...
Biostatistician
West Chester, PA · On-site
$70 - $98/hr
... causal inference. 7. Min 4 yrs experience with advanced statistical models such as mixed effect model approaches for repeated measures, Machine Learning (ML) methods. Position Summary: • Provide ...
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Biostatistician
West Chester, PA · On-site
$70 - $98/hr
... causal inference. 7. Min 4 yrs experience with advanced statistical models such as mixed effect model approaches for repeated measures, Machine Learning (ML) methods. Position Summary: • Provide ...
... causal inference, and major areas of marketing research. Experience can be concurrent. Apply at #26003872. Please answer the screening questions by accessing the link here: Screening Questions ...
... causal inference, and major areas of marketing research. Experience can be concurrent. Apply at #26003872. Please answer the screening questions by accessing the link here: Screening Questions ...
... causal inference, and major areas of marketing research. Experience can be concurrent. Apply at #26003872. Please answer the screening questions by accessing the link here: Screening Questions ...
... causal inference, and major areas of marketing research. Experience can be concurrent. Apply at #26003872. Please answer the screening questions by accessing the link here: Screening Questions ...
Applied AI Engineer
Upper Providence, PA · On-site
Experience with knowledge graph construction, causal inference, or large perturbation models. * Familiarity with single-cell RNA-seq, spatial transcriptomics, CRISPR assay data, or other high ...
Applied AI Engineer
Upper Providence, PA · On-site
Experience with knowledge graph construction, causal inference, or large perturbation models. * Familiarity with single-cell RNA-seq, spatial transcriptomics, CRISPR assay data, or other high ...
Applied AI Engineer
Upper Providence, PA · On-site
Experience with knowledge graph construction, causal inference, or large perturbation models. * Familiarity with single-cell RNA-seq, spatial transcriptomics, CRISPR assay data, or other high ...
Applied AI Engineer
Upper Providence, PA · On-site
Experience with knowledge graph construction, causal inference, or large perturbation models. * Familiarity with single-cell RNA-seq, spatial transcriptomics, CRISPR assay data, or other high ...
Lead the design of advanced study designs and statistical analyses aligned with Payer/HTA expectations (e.g., indirect treatment comparisons, causal inference methods, surrogate endpoint validations ...
Lead the design of advanced study designs and statistical analyses aligned with Payer/HTA expectations (e.g., indirect treatment comparisons, causal inference methods, surrogate endpoint validations ...
Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest) * Trial emulation frameworks * External control arm development and ...
Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest) * Trial emulation frameworks * External control arm development and ...
Director HTA Statistics & RWE Methods
Horsham, PA · On-site
$164 - $282.90/hr
Lead the design of advanced study designs and statistical analyses aligned with Payer/HTA expectations (e.g., indirect treatment comparisons, causal inference methods, surrogate endpoint validations ...
Director HTA Statistics & RWE Methods
Horsham, PA · On-site
$164 - $282.90/hr
Lead the design of advanced study designs and statistical analyses aligned with Payer/HTA expectations (e.g., indirect treatment comparisons, causal inference methods, surrogate endpoint validations ...
Senior Biostatistician
Conshohocken, PA · Hybrid
$150K - $182K/yr
Generate real-world evidence from observational data and apply causal-inference methods to draw robust conclusions from non-randomized studies. * Support the design and analysis of clinical trials ...
Senior Biostatistician
Conshohocken, PA · Hybrid
$150K - $182K/yr
Generate real-world evidence from observational data and apply causal-inference methods to draw robust conclusions from non-randomized studies. * Support the design and analysis of clinical trials ...
Senior Biostatistician
Conshohocken, PA · On-site
$150K - $182K/yr
Generate real-world evidence from observational data and apply causal-inference methods to draw robust conclusions from non-randomized studies. * Support the design and analysis of clinical trials ...
Senior Biostatistician
Conshohocken, PA · On-site
$150K - $182K/yr
Generate real-world evidence from observational data and apply causal-inference methods to draw robust conclusions from non-randomized studies. * Support the design and analysis of clinical trials ...
Current research by our faculty is helping to make fundamental advances in causal inference, neuroscience, cosmology, networks, finance, genetics/genomics, public policy, high-dimensional inference ...
Current research by our faculty is helping to make fundamental advances in causal inference, neuroscience, cosmology, networks, finance, genetics/genomics, public policy, high-dimensional inference ...
Causal Inference information
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How much do causal inference jobs pay per year?
What are the key skills and qualifications needed to thrive in the Causal Inference position, and why are they important?
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 some 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 is a Causal Inference job?
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.

Full-time
Posted 18 days ago
University Of Pennsylvania rating
8.1
Based on 81 frontline employees who took The Breakroom Quiz
152nd of 611 rated colleges and universities
Job description
The Department of Biostatistics and Epidemiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for several Research Associate positions in the Academic Support Staff. This appointment will be initially for one (1) year and continuation during that time period and renewal are based on satisfactory performance and availability of funding (limited to three (3) years). Applicants must have a Ph.D. or equivalent degree.
Responsibilities may include : (1) development and application of statistical and machine learning methods for analyzing electronic health records (EHRs) data, claims data, and biobank data; (2) manage the development and documentation and technical support of industry grade open access software implementing state-of-the-art causal inference methods developed by researchers at the Penn Center for Causal Inference; and (3) collaboration on cutting-edge translational biomedical research with CCI trainees and other researchers working with the Penn School of Medicine and Children's Hospital of Philadelphia.
The successful applicant will have an opportunity to work under the supervision of PI Dr. Eric Tchetgen Tchetgen, with a focus on methodological developments for Causal Inference and related Missing Data Problems. The candidate is expected to build a clear path towards an independent researcher in preparation for the next stage of their career.
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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
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10,000+ Employees
Headquarters location
Philadelphia, PA, US
Year founded
1740