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 ...

Developing and applying polygenic risk scores and causal inference models to predict disease onset, progression, and treatment response * Implementing machine learning and statistical genetics ...

Developing and applying polygenic risk scores and causal inference models to predict disease onset, progression, and treatment response * Implementing machine learning and statistical genetics ...

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 ...

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

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 ...

Developing and applying polygenic risk scores and causal inference models to predict disease onset, progression, and treatment response * Implementing machine learning and statistical genetics ...

... 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 ...

... 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 ...

Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference * Ability to work ...

Apply advanced techniques in causal inference, optimization, stochastic modeling, and predictive analytics to tasks such as forecasting drug shortages and mitigate supply chain risks. * Develop, fine ...

Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference * Ability to work ...

Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference * Ability to work ...

Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference * Ability to work ...

Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods is a plus * Experience working in an interdisciplinary environment is a plus

Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods is a plus * Experience working in an interdisciplinary environment is a plus

Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods is a plus * Experience working in an interdisciplinary environment is a plus

Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods is a plus * Experience working in an interdisciplinary environment is a plus