Causal Inference Jobs in Massachusetts (NOW HIRING)

Causal Inference, Fairness, and Trustworthy AI in real-world healthcare applications. Our group actively collaborates with large national and international initiatives, including Mass General Brigham ...

Develop causal inference methodologies to understand true incrementality of product changes. * Ensure models are observable, explainable where needed, and continuously improved post-launch Product ...

Leverage model embeddings in causal inference pipelines for health effects and adaptation policy evaluation. * Work with large, high-dimensional datasets (Medicare claims, census, weather, pollution ...

Provide statistical expertise in analyses involving external control arms, synthetic control methodologies, external comparator analyses, meta-analyses, and causal inference methods (e.g., propensity ...

... causal inference, statistics, and algorithms • Ability to collaborate with interdisciplinary teams • Experience in disseminating findings through peer-reviewed publications and presentations ...

This role would have a dual mission of client-facing consulting and cutting-edge research in statistics, data science, causal inference, machine learning for modern clinical trial design and ...

This role would have a dual mission of client-facing consulting and cutting-edge research in statistics, data science, causal inference, machine learning for modern clinical trial design and ...

... causal inference) with clear success criteria, and bring rigor to how we measure what's working and what isn't. • Collaborate machine learning & research teams to evaluate model outputs, challenge ...

This role will work closely with clinicians and other researchers to link and analyze large real-world healthcare and EMS data, with an emphasis on causal inference and observational research. The ...

A/B Experimentation & Inference: Lead the experimentation lifecycle, from power analysis and hypothesis design to post-test causal inference and rollout. Leverage product analytics capabilities to ...

Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise ...

Apply deep expertise in statistical theory, bias, confounding, causal inference, and quantitative modeling. * Assess whether methodological choices are fit-for-purpose, transparent, and ...

Apply deepexpertisein statistical theory, bias, confounding, causal inference, and quantitative modeling. * Assess whether methodological choices are fit-for-purpose, transparent, and scientifically ...

Strong fundamentals in causal inference, experiment design, time‑series modeling, and Bayesian methods -- with the judgment to pick the right tool for each problem * Hands‑on experience with at ...

A/B Experimentation & Inference: Lead the experimentation lifecycle, from power analysis and hypothesis design to post-test causal inference and rollout. Leverage product analytics capabilities to ...

Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices ...

Perform statistical and machine learning analyses of clinical, claims, and other healthcare data, employing causal inference, predictive modeling, risk stratification, time-series analysis, and data ...

Perform statistical and machine learning analyses of clinical, claims, and other healthcare data, employing causal inference, predictive modeling, risk stratification, time-series analysis, and data ...

Strong fundamentals in causal inference, experiment design, time-series modeling, and Bayesian methods -- with the judgment to pick the right tool for each problem* Hands-on experience with at least ...

Perform statistical and machine learning analyses of clinical, claims, and other healthcare data, employing causal inference, predictive modeling, risk stratification, time-series analysis, and data ...