Causal Inference Jobs in Baltimore, MD (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 ...

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 ...

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 ...

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 ...

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

... clusters. • Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • ...

... clusters. • Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • ...

... 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 ...

Experience with microbiome or multi-omic data analysis, causal inference methods, or infectious disease epidemiology is preferred but not required Research and Training Environment The fellow will ...

Solid grounding in statistical methods and experimental design (e.g., hypothesis testing, regression, causal inference) to validate models and ensure sound decision-making.MLOps/LLMOps: Experience ...

The investigator will advance causal inference and methodological rigor in observational cancer research, including approaches such as target trial emulation and methods addressing time varying ...

Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online evaluation frameworks. * Guide the team in building robust data pipelines for large-scale structured ...

Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online evaluation frameworks. * Guide the team in building robust data pipelines for large-scale structured ...

Carries out appropriate methodological procedures for statistical analysis of data, ranging from descriptive exploratory data analyses to causal inference. * Create and curate software tools across ...

Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...

Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...

Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...

Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...