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 ...
We operate with high velocity at the intersection of machine learning, causal inference, functional genomics, spatial biology, and real-world clinical data; your expertise, execution, technical ...
We operate with high velocity at the intersection of machine learning, causal inference, functional genomics, spatial biology, and real-world clinical data; your expertise, execution, technical ...
We operate with high velocity at the intersection of machine learning, causal inference, functional genomics, spatial biology, and real-world clinical data; your expertise, execution, technical ...
We operate with high velocity at the intersection of machine learning, causal inference, functional genomics, spatial biology, and real-world clinical data; your expertise, execution, technical ...
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.
Principal Scientist, Oncology Data Science (Translational Science)
Upper Providence, PA · On-site
$121 - $202/hr
We operate with high velocity at the intersection of machine learning, causal inference, functional genomics, spatial biology, and real-world clinical data; your expertise, execution, technical ...
Principal Scientist, Oncology Data Science (Translational Science)
Upper Providence, PA · On-site
$121 - $202/hr
We operate with high velocity at the intersection of machine learning, causal inference, functional genomics, spatial biology, and real-world clinical data; your expertise, execution, technical ...
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 ...
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 ...
Quick apply
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 ...
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 ...
Familiarity with machine learning, causal inference, and advanced statistical modeling. * Prior publications in peer-reviewed journals and presentations at global conferences. Founded in 2010 and ...
Quick apply
Familiarity with machine learning, causal inference, and advanced statistical modeling. * Prior publications in peer-reviewed journals and presentations at global conferences. Founded in 2010 and ...
Data Scientist We're looking for data scientist with a mix of experience or interest in machine learning (predictive modeling) or economics (applied microeconomics and causal inference) to come join ...
Data Scientist We're looking for data scientist with a mix of experience or interest in machine learning (predictive modeling) or economics (applied microeconomics and causal inference) to come join ...
Data Scientist
Pittsburgh, PA · On-site
Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.), NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering), Causal inference / uplift modeling ...
Data Scientist
Pittsburgh, PA · On-site
Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.), NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering), Causal inference / uplift modeling ...
Biostatistics - Associate or Full Professor, Tenure Track or Clinician-Educator
Philadelphia, PA · On-site
Candidates with experience and/or an interest in cancer clinical trials, pediatric research, the interface between biostatistics and artificial intelligence, and causal inference are especially ...
Biostatistics - Associate or Full Professor, Tenure Track or Clinician-Educator
Philadelphia, PA · On-site
Candidates with experience and/or an interest in cancer clinical trials, pediatric research, the interface between biostatistics and artificial intelligence, and causal inference are especially ...
Causal Inference information
See Pennsylvania salary details
$55.1K - $62.5K
0% of jobs
$62.5K - $69.8K
1% of jobs
$69.8K - $77.1K
3% of jobs
$77.1K - $84.5K
17% of jobs
$86K is the 25th percentile. Wages below this are outliers.
$84.5K - $91.8K
18% of jobs
The median wage is $96.4K / yr.
$91.8K - $99.1K
17% of jobs
$99.1K - $106.5K
18% of jobs
$106.7K is the 75th percentile. Wages above this are outliers.
$106.5K - $113.8K
17% of jobs
$113.8K - $121.2K
6% of jobs
$121.2K - $128.5K
1% of jobs
$128.5K - $135.8K
1% of jobs
$55.1K
$99.5K
$135.8K
How much do causal inference jobs pay per year?
As of Aug 11, 2026, the average yearly pay for causal inference in Pennsylvania is $99,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,200.00 and $108,800.00 per year, depending on experience, location, and employer.
Is causal inference still relevant?
Causal inference is a vital skill for data analysts and researchers, as it helps determine cause-and-effect relationships in data. It remains highly relevant across industries such as healthcare, economics, and technology, especially with the increasing availability of large datasets and advanced statistical tools like R and Python. Professionals in this field are in demand for designing experiments, analyzing observational data, and informing decision-making processes.
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 jobs use causal inference?
Causal inference is used in various roles such as data scientist, epidemiologist, econometrician, and policy analyst. These jobs involve analyzing data to determine cause-and-effect relationships, often using statistical tools and programming languages like R or Python. Professionals in these fields work in industries like healthcare, finance, government, and technology to inform decision-making and policy development.
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 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 are the most commonly searched types of Causal Inference jobs in Pennsylvania? The most popular types of Causal Inference jobs in Pennsylvania are:
What are popular job titles related to Causal Inference jobs in Pennsylvania? For Causal Inference jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Pennsylvania look for? The top searched job categories for Causal Inference jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Causal Inference jobs? Cities in Pennsylvania with the most Causal Inference job openings:
Full-time
Re-posted 4 days ago
University Of Pennsylvania rating
8.1
Based on 81 frontline employees who took The Breakroom Quiz
160th of 617 rated colleges and universities
Job description
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.
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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Company size
10,000+ Employees
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Philadelphia, PA, US
Year founded
1740