... 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 ...
... 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 ...
Role: Senior Manager Location: Philadelphia (Hybrid) Experience: 5+ years Full Time Role Role ... This role is heavily focused on econometric modeling, time series analysis, and causal inference ...
Role: Senior Manager Location: Philadelphia (Hybrid) Experience: 5+ years Full Time Role Role ... This role is heavily focused on econometric modeling, time series analysis, and causal inference ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
Quick apply
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
Quick apply
... causal inference, and quantitative methodology. * The ability to turn sophisticated analytics into practical, strategic recommendations. * Exceptional stakeholder management, communication, and ...
Must have a PhD degree (or foreign equivalent degree) in Marketing, Management, or a related field ... causal inference, and major areas of marketing research. Experience can be concurrent. Apply at ...
Must have a PhD degree (or foreign equivalent degree) in Marketing, Management, or a related field ... causal inference, and major areas of marketing research. Experience can be concurrent. Apply at ...
Must have a PhD degree (or foreign equivalent degree) in Marketing, Management, or a related field ... causal inference, and major areas of marketing research. Experience can be concurrent. Apply at ...
Must have a PhD degree (or foreign equivalent degree) in Marketing, Management, or a related field ... causal inference, and major areas of marketing research. Experience can be concurrent. Apply at ...
... comparisons, causal inference methods, surrogate endpoint validations, etc.) to support market ... Program Management, Regulatory Compliance, Strategic Change The anticipated pay range for this ...
... comparisons, causal inference methods, surrogate endpoint validations, etc.) to support market ... Program Management, Regulatory Compliance, Strategic Change The anticipated pay range for this ...
Director HTA Statistics & RWE Methods
Horsham, PA · On-site
$164 - $282.90/hr
... comparisons, causal inference methods, surrogate endpoint validations, etc.) to support market ... Management, Regulatory Compliance, Strategic Change The anticipated base pay range for this ...
Director HTA Statistics & RWE Methods
Horsham, PA · On-site
$164 - $282.90/hr
... comparisons, causal inference methods, surrogate endpoint validations, etc.) to support market ... Management, Regulatory Compliance, Strategic Change The anticipated base pay range for this ...
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 ...
Marketing Measurement Lead Data Analyst
Malvern, PA · On-site
$84K - $105K/yr
... causal inference frameworks. * Experience collaborating closely with data scientists and data ... Exceptional communication and stakeholder management skills. Special Factors Sponsorship Vanguard ...
Marketing Measurement Lead Data Analyst
Malvern, PA · On-site
$84K - $105K/yr
... causal inference frameworks. * Experience collaborating closely with data scientists and data ... Exceptional communication and stakeholder management skills. Special Factors Sponsorship Vanguard ...
RWE Scientist / Immunology Studies / Remote Work
Spring House, PA · On-site
$56K - $56K/yr
You may participate in the company group medical insurance plan Senior Manager - Real-World ... Familiarity with machine learning, causal inference, and advanced statistical modeling. Prior ...
Quick apply
RWE Scientist / Immunology Studies / Remote Work
Spring House, PA · On-site
$56K - $56K/yr
You may participate in the company group medical insurance plan Senior Manager - Real-World ... Familiarity with machine learning, causal inference, and advanced statistical modeling. Prior ...
We're hiring a Senior Data Science Manager to lead the data science function within our Growth ... Applied industry experience using causal inference, experimentation, and/or machine learning models.
We're hiring a Senior Data Science Manager to lead the data science function within our Growth ... Applied industry experience using causal inference, experimentation, and/or machine learning models.
We're hiring a Senior Data Science Manager to lead the data science function within our Growth ... Applied industry experience using causal inference, experimentation, and/or machine learning models.
We're hiring a Senior Data Science Manager to lead the data science function within our Growth ... Applied industry experience using causal inference, experimentation, and/or machine learning models.
Experience/knowledge in causal inference methods including propensity score matching, inverse ... Demonstrated experience with managing project scope and driving delivery in an evolving environment ...
Experience/knowledge in causal inference methods including propensity score matching, inverse ... Demonstrated experience with managing project scope and driving delivery in an evolving environment ...
Senior Manager, R&D Data, Data Science, and AI - Digital Health for Neuropsychiatry
Spring House, PA · On-site +1
Leverage longitudinal disease modeling, Bayesian methods, and causal inference techniques to inform ... Management, Technical Credibility
Senior Manager, R&D Data, Data Science, and AI - Digital Health for Neuropsychiatry
Spring House, PA · On-site +1
Leverage longitudinal disease modeling, Bayesian methods, and causal inference techniques to inform ... Management, Technical Credibility
Manager Causal Inference information
What does a manager causal inference do?
A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.
What are the key skills and qualifications needed to thrive as a manager causal inference?
To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
How does a manager causal inference typically collaborate with cross-functional teams to drive impactful business insights?
Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.
What are the most commonly searched types of Causal Inference jobs in Pennsylvania?
The most popular types of Causal Inference jobs in Pennsylvania are:
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For Manager Causal Inference jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Pennsylvania look for?
The top searched job categories for Manager Causal Inference jobs in Pennsylvania are:
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Cities in Pennsylvania with the most Manager Causal Inference job openings:
Full-time
Re-posted 26 days ago
University Of Pennsylvania rating
8.1
Based on 81 frontline employees who took The Breakroom Quiz
169th of 627 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.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Philadelphia, PA, US
Year founded
1740