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Bayesian Phd Jobs in Boston, MA (NOW HIRING)

STR

Lead Algorithm & Signal Processing Engineer

Woburn, MA · On-site

$157K - $220K/yr

Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related ... Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray ...

Whoop

Senior Research Scientist

Boston, MA · On-site

$110 - $155/hr

PhD (or equivalent experience) in a quantitative or health‑related field (e.g., Epidemiology ... methods, Bayesian inference, and/or causal inference. * Ability to work across disciplines and ...

STR

Senior Data Scientist

Woburn, MA · On-site

$140K - $190K/yr

S government * MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science ... Familiarity with various algorithmic techniques such as Bayesian methods, predictive models ...

Costello Medical, Inc.

Biostatistician

Boston, MA · On-site

$75 - $80/hr

... and complex Bayesian network meta‑analysis using both standard and emerging methods. You will ... Desired Requirements * A Masters degree or PhD in a scientific or mathematical discipline.

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Bayesian Phd information

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.

What are the key skills and qualifications needed to thrive as a Bayesian PhD?

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

What are popular job titles related to Bayesian Phd jobs in Boston, MA?

For Bayesian Phd jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Bayesian Phd jobs in Boston, MA look for?

The top searched job categories for Bayesian Phd jobs in Boston, MA are:

What cities near Boston, MA are hiring for Bayesian Phd jobs?

Cities near Boston, MA with the most Bayesian Phd job openings:

Bayesian Phd jobs near you
Infographic showing various Bayesian Phd job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Lead Algorithm & Signal Processing Engineer

STR

Woburn, MA • On-site

$157K - $220K/yr

Full-time

Re-posted 28 days ago

Job description

About the Team:

The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies.

EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us.

The Role:

As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more.

What You Will Do:

  • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges
  • Design and implement models and simulations for advanced RF systems
  • Lead small teams and projects
  • Support business development and proposal writing efforts
  • Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems

Who You Are:

  • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government
  • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline
  • 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years)
  • Experience in two or more of the following areas:
    • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping
  • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++
  • Strong mathematical, troubleshooting, written, and verbal communication skills

Even Better:

  • Active Security Clearance
  • Experience with:
    • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms
    • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
    • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution
  • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems
  • Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations

Join EWNC and help shape the future of RF sensing and electronic warfare by developing innovative technologies that transition from advanced research into operational prototype systems. While this position is ideally suited for a Lead Engineer, applicants whose qualifications closely align with the requirements are encouraged to apply. We have opportunities for talented engineers at multiple experience levels in Woburn, MA, and Dayton, OH. 

Pay Information
Full-Time Salary Range: $157,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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