Bayesian Modeling Jobs in Massachusetts (NOW HIRING)

Knowledge of causal inference, longitudinal modeling, or Bayesian hierarchical modeling. * Exposure to wearable-device or digital-phenotyping datasets and experience linking such data to molecular or ...

Familiarity with Bayesian optimization, active learning, or generative models * Experience in reinforcement learning or agent-based approaches to scientific reasoning * Open-source contributions or ...

Strong experience training ML models in low-data regimes. * Experience with active learning, Bayesian optimization, experimental design, meta-learning, fine-tuning, transfer learning, uncertainty ...

... outsourced model * partnering closely with the cross-functional teams and providing expert ... Advanced knowledge of statistical methods in clinical study designs (adaptive, Bayesian ...

Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...

Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...

Bayesian methods, deep learning, spatiotemporal modeling, high-dimensional statistics. • Proficiency in statistical programming (R and/or Python) and good practices for reproducible research. • ...

Experience building evidence synthesis models (e.g., network meta‑analysis) or constructing data‑driven priors for drug development. * Experience with Bayesian computing or probabilistic ...

Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. * AI Monitoring and ...

Broad knowledge of statistical modeling is required, including all standard methods in Bayesian hierarchical modeling and computing, methods for longitudinal and time-to-event data, propensity ...

Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...

Broad knowledge of statistical modeling is required, including all standard methods in Bayesian hierarchical modeling and computing, methods for longitudinal and time-to-event data, propensity ...

Experience building evidence synthesis models (e.g., network meta-analysis) or constructing data-driven priors for drug development * Experience with Bayesian computing or probabilistic programming ...

Experience building evidence synthesis models (e.g., network meta-analysis) or constructing data-driven priors for drug development * Experience with Bayesian computing or probabilistic programming ...

Experience building evidence synthesis models (e.g., network meta‑analysis) or constructing data‑driven priors for drug development * Experience with Bayesian computing or probabilistic ...

AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...

Hands-on expertise in statistical modeling and innovative methods (e.g., Bayesian approaches) * Thorough knowledge of the drug development process including late-phase development, registration ...

AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...

Experience with Spark, Kaplan, Breeze, map/reduce models a plus Experience modeling stochastic processes, Bayesian learning models, utility theory, game theory a plus Additional Information All your ...

Experience modeling stochastic processes, Bayesian learning models, utility theory, game theory a plus Additional Information All your information will be kept confidential according to EEO ...