As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled ...
As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled ...
As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled ...
As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled ...
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 ...
Principal Product Manager - Agentic Media Measurement
$180K - $230K/yr
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 ...
Principal Product Manager - Agentic Media Measurement
$180K - $230K/yr
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 ...
Java Engineer- BIG Data (All levels)
$60.25 - $79.50/hr
Learn NLP & Machine Learning techniques, such as data miningand Bayesian classifiers * Solve interesting and challenging problems alongside a great teamof engineers * Develop new skills as you push ...
Java Engineer- BIG Data (All levels)
$60.25 - $79.50/hr
Learn NLP & Machine Learning techniques, such as data miningand Bayesian classifiers * Solve interesting and challenging problems alongside a great teamof engineers * Develop new skills as you push ...
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 ...
Postdoctoral Research Position in Causal Inference
Cambridge, MA · On-site
$75K/yr
Bayesian methods, deep learning, spatiotemporal modeling, high-dimensional statistics. • Proficiency in statistical programming (R and/or Python) and good practices for reproducible research. • ...
Postdoctoral Research Position in Causal Inference
Cambridge, MA · On-site
$75K/yr
Bayesian methods, deep learning, spatiotemporal modeling, high-dimensional statistics. • Proficiency in statistical programming (R and/or Python) and good practices for reproducible research. • ...
Biostatistics Researcher
Cambridge, MA · On-site
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 ...
Biostatistics Researcher
Cambridge, MA · On-site
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 ...
Absolutely high fluency with R and/or Python and Bayesian MCMC tools such as JAGS or STAN, as well as conventional statistical analyses, machine learning, and GIS. Strong ability to produce lucid ...
Absolutely high fluency with R and/or Python and Bayesian MCMC tools such as JAGS or STAN, as well as conventional statistical analyses, machine learning, and GIS. Strong ability to produce lucid ...
Biostatistics Researcher
Cambridge, MA · On-site
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 ...
Quick apply
Biostatistics Researcher
Cambridge, MA · On-site
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 ...
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 ...
Vesalius Therapeutics is seeking a Computational Biologist with expertise in Bayesian inference, network analysis (structure learning, causal and counterfactual inference), sequence modeling, and ...
Vesalius Therapeutics is seeking a Computational Biologist with expertise in Bayesian inference, network analysis (structure learning, causal and counterfactual inference), sequence modeling, and ...
Manager / Senior Manager, Product Marketing, Physical Science
Cambridge, MA · On-site
$132K - $173K/yr
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 ...
Manager / Senior Manager, Product Marketing, Physical Science
Cambridge, MA · On-site
$132K - $173K/yr
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 ...
Deep Learning Researcher 1900S-2
Billerica, MA · Hybrid
$130K - $160K/yr
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 ...
Quick apply
Deep Learning Researcher 1900S-2
Billerica, MA · Hybrid
$130K - $160K/yr
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 ...
Deep Learning Researcher 1900S-2
Billerica, MA · Hybrid
$130K - $160K/yr
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 ...
Deep Learning Researcher 1900S-2
Billerica, MA · Hybrid
$130K - $160K/yr
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 ...
Manager / Senior Manager, Product Marketing, Physical Science
Cambridge, MA · On-site
$132K - $173K/yr
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 ...
Manager / Senior Manager, Product Marketing, Physical Science
Cambridge, MA · On-site
$132K - $173K/yr
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 ...
Vesalius Therapeutics is seeking a Computational Biologist with expertise in Bayesian inference, network analysis (structure learning, causal and counterfactual inference), sequence modeling, and ...
Vesalius Therapeutics is seeking a Computational Biologist with expertise in Bayesian inference, network analysis (structure learning, causal and counterfactual inference), sequence modeling, and ...
Vesalius Therapeutics is seeking a Computational Biologist with expertise in Bayesian inference, network analysis (structure learning, causal and counterfactual inference), sequence modeling, and ...
Vesalius Therapeutics is seeking a Computational Biologist with expertise in Bayesian inference, network analysis (structure learning, causal and counterfactual inference), sequence modeling, and ...
Vesalius Therapeutics is seeking a Computational Biologist with expertise in Bayesian inference, network analysis (structure learning, causal and counterfactual inference), sequence modeling, and ...
Vesalius Therapeutics is seeking a Computational Biologist with expertise in Bayesian inference, network analysis (structure learning, causal and counterfactual inference), sequence modeling, and ...
Apply innovative statistical methodologies including Bayesian approaches, adaptive designs, andestimandframeworks per ICH E9(R1) to maximize information efficiency in limited-sample studies.
Apply innovative statistical methodologies including Bayesian approaches, adaptive designs, andestimandframeworks per ICH E9(R1) to maximize information efficiency in limited-sample studies.
Bayesian information
See Boston, MA salary details
$160K - $162.2K
7% of jobs
$162.2K - $164.3K
10% of jobs
$166.2K is the 25th percentile. Wages below this are outliers.
$164.3K - $166.5K
10% of jobs
$166.5K - $168.6K
10% of jobs
$168.6K - $170.7K
10% of jobs
The median wage is $171.6K / yr.
$170.7K - $172.9K
10% of jobs
$172.9K - $175K
10% of jobs
$177K is the 75th percentile. Wages above this are outliers.
$175K - $177.2K
10% of jobs
$177.2K - $179.3K
10% of jobs
$179.3K - $181.4K
10% of jobs
$181.4K - $183.6K
4% of jobs
$160K
$171.3K
$183.6K
How much do bayesian jobs pay per year?
As of Jun 27, 2026, the average yearly pay for bayesian in Boston, MA is $171,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,927.00 and $176,632.00 per year, depending on experience, location, and employer.
What are the typical projects or challenges faced in a Bayesian-focused role?
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.
What is a Bayesian job?
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.
What are the key skills and qualifications needed to thrive in the Bayesian position, and why are they important?
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.
What are the most commonly searched types of Bayesian jobs in Boston, MA? The most popular types of Bayesian jobs in Boston, MA are:
What are popular job titles related to Bayesian jobs in Boston, MA? For Bayesian jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Bayesian jobs in Boston, MA look for? The top searched job categories for Bayesian jobs in Boston, MA are:
Other
Posted 15 days ago
Job description
Your Impact at LILA
Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our decision making efforts develop the algorithms that drive experimental decision-making, closing the loop between models, experiments, and the next thing to try. We're now exploring how large language models can extend that capability: encoding domain priors, proposing candidates, reasoning over campaign history, and pairing naturally with established algorithms like Bayesian optimization for sample-efficient search.
As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled experimental design. Your work will land in the decision making stack that powers experimental campaigns across Lila's AI Science Facilities.
What You'll Be Building
- Contribute to LLM-based decision-making methods for experimental campaigns, focused on a well-defined sub-problem
- Prototype approaches that combine LLM reasoning with Bayesian optimization, active learning, or design of experiments, with mentor guidance
- Build evaluation frameworks that benchmark LLM-augmented strategies against established Bayesian baselines
- Help integrate promising methods into the decision making stack used across physical sciences campaigns
- Document findings and share results through write-ups, presentations, or contributions to internal libraries
What You'll Need to Succeed
- Pursuing a Master's or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics, Chemistry, Materials Science, or a related quantitative field
- Strong programming skills in Python and familiarity with ML frameworks such as PyTorch, JAX, or similar
- Foundation in Bayesian methods, Bayesian optimization, or probabilistic modeling
- Experience with large language models including fine-tuning, test-time compute, and benchmarking in applied settings
- Ability to turn open-ended scientific decision-making questions into concrete ML tasks with clear baselines and metrics
- Comfort iterating on experiments and analyzing results in research-style codebases
- Clear communication and interest in collaborating across ML and physical science teams
Bonus Points For
- Experience with active learning, design of experiments, multi-objective optimization, or batch Bayesian optimization in scientific problem settings
- Familiarity with agentic frameworks and structured-output techniques for scientific reasoning
- Exposure to physical science applications such as materials, chemistry, catalysis, batteries, electrochemistry, or related domains
- Prior work pairing LLMs with optimization, planning, or decision making processes