1

Internship Bayesian Statistics Jobs (NOW HIRING)

next page

Showing results 1-20

Internship Bayesian Statistics information

See salary details

$9

$17

$23

How much do internship bayesian statistics jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for internship bayesian statistics in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Bayesian Statistics vs Data Analyst?

AspectInternship Bayesian StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldsBachelor's degree in statistics, data science, or related fields
Work EnvironmentResearch-focused, often in academia, tech, or healthcare settingsBusiness, finance, marketing, or tech industries
Employer & Industry UsageInternship roles in research projects, academia, or industry R&DFull-time or part-time roles in various industries
Comparison Search IntentUnderstanding entry-level research roles in Bayesian methodsAnalyzing data to inform business decisions

Internship Bayesian Statistics focuses on entry-level research and applying Bayesian methods in academic or research settings, often requiring advanced statistical knowledge. Data Analysts typically work on interpreting data to support business strategies, with a broader scope and different industry applications. Both roles may require similar educational backgrounds but differ in work focus and environment.

More about Internship Bayesian Statistics jobs
What cities are hiring for Internship Bayesian Statistics jobs? Cities with the most Internship Bayesian Statistics job openings:
What are the most commonly searched types of Bayesian Statistics jobs? The most popular types of Bayesian Statistics jobs are:
What states have the most Internship Bayesian Statistics jobs? States with the most job openings for Internship Bayesian Statistics jobs include:
Infographic showing various Internship Bayesian Statistics job openings in the United States as of May 2026, with employment types broken down into 7% As Needed, 7% Full Time, 78% Part Time, 4% Temporary, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Quantum Calibration Engineer, Quantum Computing Services

Quantum Calibration Engineer, Quantum Computing Services

QuEra Computing, Inc.

Boston, MA • On-site

$120K - $180K/yr

Full-time

Posted 13 days ago


Job description

Quantum Calibration Engineer, Quantum Computing Services
Summary:
QuEra is seeking Quantum Calibration Engineers to join a growing effort focused on developing, testing and deploying calibration and performance characterization software on QuEra's neutral-atom quantum computers, translating experimental physics and data analysis into automation. This is a critical effort towards achieving programmability, reliability and peak performance of these machines for research, application development and commercial uses. Your work will directly shape how QuEra's quantum computers are characterized, stabilized, and improved over time, laying the foundation for scalable, self-calibrating quantum platforms.
In this role, you will work closely with physicists, software engineers, hardware specialists and actual quantum computers across QuEra's global sites. You will be responsible for designing efficient measurements of key system parameters, developing robust data-analysis pipelines, and building tools that translate raw experimental results into actionable insights for machine optimization.
This role is part of QuEra's Quantum Computing Services team and is based at QuEra's Boston headquarters. The team's mission is to develop QuEra's neutral-atom technology into cutting-edge quantum computing products and services.
Core Responsibilities
  • Design data-efficient experimental routines, robust data analyses and troubleshooting workflows to extract key system parameters and insights.
  • Develop, refine, and maintain calibration pipelines consisting of complex data flows.
  • Develop robust data-fitting and optimization routines.
  • Validate, document and track calibration results, ensuring reproducibility and traceability across different hardware and software generations, and across machine deployments.

Qualifications
Required
  • Strong proficiency in Python, including experience with data analysis and visualization libraries (e.g., NumPy, SciPy, Pandas, Matplotlib).
  • Hands-on experience working with real experimental or measurement data, including noise handling, curve fitting, and model validation.
  • Familiarity with optimization and regression techniques, both classical (e.g., least-squares, nonlinear fits) and statistical (e.g., Bayesian inference, parameter estimation).
  • Comfort working in a hardware-facing environment, integrating software with lab instruments, data acquisition systems, or experimental control frameworks.
  • Solid understanding of version control (Git) and structured software development practices (testing, modularity, documentation).
  • Strong problem-solving ability, scientific curiosity, and a willingness to learn new physical systems quickly.
  • Eager to grow from a capable engineer into a domain expert in quantum device
  • Enjoys hands-on experimentation, iteration, and uncovering structure in data.
  • Comfortable working across abstraction layers, from analyzing raw voltage traces to designing experiment-level calibration strategies.
  • Collaborative and adaptable; able to operate in an interdisciplinary environment spanning science, software, and hardware teams.

Nice to have
  • Experience with machine learning or data-driven modeling (e.g., for pattern recognition, drift prediction, or parameter inference).
  • Exposure to experimental physics or optics in a lab environment.
  • Theory and practice of control systems.
  • Familiarity with Kubernetes, Docker, or distributed analysis systems for scaling calibration and data pipelines.
  • Knowledge of signal processing and time-series analysis for extracting trends or correlations in data.
  • Proficiency in C or C++.

Education & Experience
  • Bachelor's or Master's degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or a related quantitative field.
  • Candidates with diverse or nontraditional backgrounds who demonstrate strong programming and analytical skills are encouraged to apply.
  • Experience or exposure to experimental research, data-driven system optimization, or hardware-software integration (through research, internships, or personal projects) is a strong plus.

The approximate base salary range for this position is $120,000 - $180,000.
We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.
#LI-DA1
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.