Causal Inference Jobs in Maryland (NOW HIRING)

Mathematica is hiring researchers with specific expertise inquantitative research methods, causal inference, and policy research, who willconduct studies and support program evaluation in the areas ...

Research in the lab focuses on generative modeling , causal inference, multimodal remote/in-situ/crowd sensing, LLMs for high-stake decision-making with applications on rapid disaster mapping and ...

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 ...

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 ...

Causal Inference: Apply causal methods (difference-in-differences, synthetic control, instrumental variables, propensity scoring, switchback designs) where randomization is not feasible. Decision ...

Go beyond average treatment effects to understand heterogeneity, long-term impact, novelty effects, and cross-surface interactions. • Causal Inference: Apply causal methods (difference-in ...

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 ...

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 ...

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making. * Mentorship ...

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making. * Mentorship ...

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 ...

Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing... * Are able to obtain ...

... 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 ...