Baltimore, MD · On-site
$48K - $66K/yr
Description Postdoctoral Fellowship opening to work on applied causal inference, and especially statistical approaches for studying health policy, under the direction of Dr. Elizabeth Stuart and in ...
Baltimore, MD · On-site
$48K - $66K/yr
Description Postdoctoral Fellowship opening to work on applied causal inference, and especially statistical approaches for studying health policy, under the direction of Dr. Elizabeth Stuart and in ...
Baltimore, MD · On-site
$48K - $66K/yr
Strong understanding of fundamental causal inference and causal discovery algorithms. * Experience with the design, development and implementation of causal ML algorithms. * Ability to lead research ...
Baltimore, MD · On-site
$48K - $66K/yr
Strong understanding of fundamental causal inference and causal discovery algorithms. * Experience with the design, development and implementation of causal ML algorithms. * Ability to lead research ...
Baltimore, MD · On-site
$48K - $66K/yr
Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference ...
Baltimore, MD · On-site
$48K - $66K/yr
Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference ...
Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...
Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...
Bethesda, MD · On-site
$100K - $158K/yr
Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...
Bethesda, MD · On-site
$100K - $158K/yr
Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...
Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...
Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...
Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...
Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables) * Hands-on knowledge of running incrementality studies (geo-based and audience ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...
Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...
Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives * Partner with Product and Engineering teams ...
Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives * Partner with Product and Engineering teams ...
Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives * Partner with Product and Engineering teams ...
Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives * Partner with Product and Engineering teams ...
Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...
Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...
Rockville, MD · On-site
... causal inference/target trial tooling patterns, and integration templates for multiple data sources. • Staff and support analysis pods for time-sensitive, high-stakes deliverables with rigorous QC ...
Rockville, MD · On-site
... causal inference/target trial tooling patterns, and integration templates for multiple data sources. • Staff and support analysis pods for time-sensitive, high-stakes deliverables with rigorous QC ...
Rockville, MD · On-site
... causal inference/target trial tooling patterns, and integration templates for multiple data sources. • Staff and support analysis pods for time-sensitive, high-stakes deliverables with rigorous QC ...
Rockville, MD · On-site
... causal inference/target trial tooling patterns, and integration templates for multiple data sources. • Staff and support analysis pods for time-sensitive, high-stakes deliverables with rigorous QC ...
Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...
Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...
Gaithersburg, MD · On-site
$175K - $215K/yr
Causal inference experience -- a significant differentiator for this role * NLP/LLM expertise applied to life sciences and healthcare text * Strong foundation in data engineering and databases
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Gaithersburg, MD · On-site
$175K - $215K/yr
Causal inference experience -- a significant differentiator for this role * NLP/LLM expertise applied to life sciences and healthcare text * Strong foundation in data engineering and databases
Gaithersburg, MD · On-site +1
$175K - $215K/yr
... Causal inference experience - a significant differentiator for this role NLP/LLM expertise applied to life sciences and healthcare text Strong foundation in data engineering and databases Experience ...
Gaithersburg, MD · On-site +1
$175K - $215K/yr
... Causal inference experience - a significant differentiator for this role NLP/LLM expertise applied to life sciences and healthcare text Strong foundation in data engineering and databases Experience ...
Baltimore, MD · On-site
$48K - $66K/yr
... clusters. • Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • ...
Baltimore, MD · On-site
$48K - $66K/yr
... clusters. • Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • ...
Baltimore, MD · On-site
$48K - $66K/yr
... causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • Developing data integration methods to combine multiple massive datasets (UKBB, HCP, ENIGMA, and ...
Baltimore, MD · On-site
$48K - $66K/yr
... causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • Developing data integration methods to combine multiple massive datasets (UKBB, HCP, ENIGMA, and ...
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.
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.
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.
Baltimore, MD • On-site
$48K - $66K/yr
Full-time
Posted 14 days ago
8.0
Based on 71 frontline employees who took The Breakroom Quiz
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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.
Colleges, universities, and professional schools
10,000+ Employees
Baltimore, MD, US
1876
