Houston, TX · On-site +1
$64K - $76K/yr
The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...
Houston, TX · On-site +1
$64K - $76K/yr
The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...
Houston, TX · On-site +1
$64K - $76K/yr
The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...
Houston, TX · On-site +1
$64K - $76K/yr
The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...
Houston, TX · On-site
$64K - $76K/yr
The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...
Houston, TX · On-site
$64K - $76K/yr
The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...
Access to proprietary datasets, high-performance compute, and Lila's research infrastructure Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative ...
Access to proprietary datasets, high-performance compute, and Lila's research infrastructure Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
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This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
Wilmington, DE · On-site
$132K/yr
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
Wilmington, DE · On-site
$132K/yr
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
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 ...
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 ...
... Bayesian optimization and active learning, accounting for operational variabilities and constraints. • Select and maintain surrogate models for acquisition, using model uncertainty to drive the ...
... Bayesian optimization and active learning, accounting for operational variabilities and constraints. • Select and maintain surrogate models for acquisition, using model uncertainty to drive the ...
$200K - $300K/yr
Portfolio of AI-enabled discovery programs spanning co-scientist agents, Bayesian optimization, and sequential learning - deployed across global R&D and expanding to new material systems * Leadership ...
$200K - $300K/yr
Portfolio of AI-enabled discovery programs spanning co-scientist agents, Bayesian optimization, and sequential learning - deployed across global R&D and expanding to new material systems * Leadership ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
Michael Harhay and collaborators at the Center for Clinical Trials Innovation, with increasing autonomy to independently lead innovative methodological developments (particularly Bayesian components ...
Michael Harhay and collaborators at the Center for Clinical Trials Innovation, with increasing autonomy to independently lead innovative methodological developments (particularly Bayesian components ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Recent examples of our work include a Bayesian experimentation engine that powers Product Page Optimization in App Store Analytics, and differential privacy solutions behind the Peer-Group Benchmarks ...
Recent examples of our work include a Bayesian experimentation engine that powers Product Page Optimization in App Store Analytics, and differential privacy solutions behind the Peer-Group Benchmarks ...
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 ...
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 ...
San Jose, CA · On-site
$200K - $300K/yr
Portfolio of AI-enabled discovery programs spanning co-scientist agents, Bayesian optimization, and sequential learning - deployed across global R&D and expanding to new material systems * Leadership ...
San Jose, CA · On-site
$200K - $300K/yr
Portfolio of AI-enabled discovery programs spanning co-scientist agents, Bayesian optimization, and sequential learning - deployed across global R&D and expanding to new material systems * Leadership ...
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 ...
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 ...
$149.5K - $151.5K
7% of jobs
$151.5K - $153.5K
10% of jobs
$155.2K is the 25th percentile. Wages below this are outliers.
$153.5K - $155.5K
10% of jobs
$155.5K - $157.5K
10% of jobs
$157.5K - $159.5K
10% of jobs
The median wage is $160.3K / yr.
$159.5K - $161.5K
10% of jobs
$161.5K - $163.5K
10% of jobs
$165.3K is the 75th percentile. Wages above this are outliers.
$163.5K - $165.5K
10% of jobs
$165.5K - $167.5K
10% of jobs
$167.5K - $169.5K
10% of jobs
$169.5K - $171.5K
4% of jobs
$149.5K
$160K
$171.5K
In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.
A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.
To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.
$64K - $76K/yr
Full-time
Medical, Dental, Retirement, PTO
Posted 24 days ago
8.4
Based on 165 frontline employees who took The Breakroom Quiz
33rd of 877 rated healthcare providers
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Sourced by ZipRecruiter
Health care and social assistance
10,000+ Employees
Houston, TX, US
1944
