Bayesian Jobs in Massachusetts (NOW HIRING)

MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics, probabilistic modeling, data analysis, data science, and algorithm development in one or more of a variety ...

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 ...

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 ...

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

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 ...

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 ...

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. • ...

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 ...

Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting. • Model Monitoring ...

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 ...

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 ...

Experience with active learning, Bayesian optimization, experimental design, meta-learning, fine-tuning, transfer learning, uncertainty estimation, or related data-efficient learning methods.

The ideal candidate combines depth in probabilistic machine learning, Bayesian optimization, active learning, or related approaches with the practical judgment and engineering discipline to turn ...

The ideal candidate combines depth in probabilistic machine learning, Bayesian optimization, active learning, or related approaches with the practical judgment and engineering discipline to turn ...

RWD/RWE, decision analysis, clinical biomarkers, Bayesian inference, or interpretable ML. * Attention to detail, quality work, and ability to manage and prioritize multiple projects simultaneously.

The ideal candidate combines depth in probabilistic machine learning, Bayesian optimization, active learning, or related approaches with the practical judgment and engineering discipline to turn ...