Bayesian Jobs in California (NOW HIRING)

Advanced math skills (linear algebra, Bayesian statistics, group theory). * Ability to consistently exercise independent discretion and judgment on significant matters. * Strong analytical, problem ...

... Bayesian experimentation; designing multi-dimensional test structures and interpreting results across user segments; mitigating validity threats including SRM, contamination, and multi-exposure ...

Familiarity with Bayesian Optimization and feature engineering for time-series or signal data . * Ability to move fluidly between data exploration, engineering, and modeling tasks. Desired ...

Bayesian and probabilistic decision frameworks * Clinical trial simulation and optimal design * Toxicokinetics and translational safety modeling * Pharmacogenomics and precision medicine approaches

... CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs. Drives systems innovations for model efficiency advancement on device as well as in the cloud. This ...

Bayesian and probabilistic decision frameworks * Clinical trial simulation and optimal design * Toxicokinetics and translational safety modeling * Pharmacogenomics and precision medicine approaches

Lead deployment of advanced AI/ML solutions (multimodal transformers, graph or sequence models, Bayesian/probabilistic approaches) for toxicity prediction and translational safety applications.

Bayesian Inference & Probabilistic Modeling * Build Bayesian inference pipelines supporting real-time prediction across multiple ingestion tiers. * Implement probabilistic calibration techniques ...

Apply specialized methods appropriate for small N studies including Bayesian frameworks, adaptive designs, n-of-1 elements, and natural history benchmarking. Proactively identify and mitigate risks ...

Formulate and solve complex inference problems using Bayesian estimation, filtering, optimization, and related statistical techniques * Prototype, evaluate, and refine algorithms using large-scale ...

Experience in Bayesian statistics, machine learning/artificial intelligence algorithms, and other commonly applied techniques in the statistical -omics data analysis * Expertise in large scale data ...

Probabilistic inference, Bayesian modeling, variational inference, Monte Carlo methods, simulation-based inference, uncertainty quantification, and calibration. * Optimization, sampling, amortized ...

Experience with probabilistic/Bayesian modeling, uncertainty quantification, or causal inference. Prior experience designing agentic systems, human-in-the-loop workflows, or using reinforcement ...

Research will include the application of Bayesian inverse methods, cloud microphysics modeling, and quantitative analysis of large atmospheric datasets to advance remote sensing capabilities and ...

Significant and demonstrated experience independently leading projects that included Bayesian NMAs and/or other ITCs * Substantial experience independently leading projects that included meta ...

... models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs). • Drives systems innovations for model efficiency ...

Significant and demonstrated experience independently leading projects that included Bayesian NMAs and/or other ITCs * Substantial experience independently leading projects that included meta ...

Evaluate and implement advanced statistical techniques - including Bayesian modeling, causal inference, uplift modeling, and media mix modeling - to improve marketing measurement and optimization.

Apply survival analysis, Bayesian modeling, and causal inference where the clinical question requires (statsmodels, lifelines or scikit-survival, PyMC). * Evaluation & subgroup. Design offline ...

Significant and demonstrated experience independently leading projects that included Bayesian NMAs and/or other ITCs * Substantial experience independently leading projects that included meta ...