Bayesian Jobs in Massachusetts (NOW HIRING)

Access to proprietary datasets, high-performance compute, and Lila's research infrastructure Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative ...

Synthesize multiple, low-fidelity 3rd-party signals into a single high-fidelity trend report using Bayesian aggregation or other methods * Data transformation: Apply quasi-experimental designs (e.g ...

Advanced knowledge of statistical methods in clinical study designs (adaptive, Bayesian), statistical analysis methods including Bayesian method, missing data imputation, multiplicity adjustment

Your work will sit at the intersection of causal inference, Bayesian modeling, and modern AI, turning complex marketing science into products that deliver clear, defensible answers to the questions ...

Access to proprietary datasets, high-performance compute, and Lila's research infrastructure Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative ...

Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks). * Combine data from ...

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

Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks). * Combine data from ...

Support real-time clinical trial implementation as requested by clients or CROs less familiar with Bayesian and other modern statistical approaches * Write and co-present final reports in both oral ...

Support real-time clinical trial implementation as requested by clients or CROs less familiar with Bayesian and other modern statistical approaches * Write and co-present final reports in both oral ...

Computational modeling approaches include modern machine learning approaches, Bayesian inference, and more. Research will use the model system C. elegans. This role will involve making basic ...

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 ...

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 ...

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 ...

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 ...

Apply innovative statistical methodologies including Bayesian approaches, adaptive designs, andestimandframeworks per ICH E9(R1) to maximize information efficiency in limited-sample studies.

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 ...

... Bayesian methods) - Time-series and waveform analysis techniques - Agentic AI systems for lab automation, test orchestration, and debug assistance • Serve as a technical bridge between silicon/test ...

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 ...

Advanced knowledge of statistical methods in clinical study designs (adaptive, Bayesian), statistical analysis methods including Bayesian method, missing data imputation, multiplicity adjustment