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PhD Residency- Biomedical Research - SandboxAQ

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Job Title
PhD Residency- Biomedical Research
Job Location
Remote, USA
Job Description

Ready to join the AQ era?

SandboxAQ is solving challenging problems with AI + Quantum for positive impact. We partner with global leaders in government, academia, and the private sector to identify applications that would benefit from quantum-based applications to current and future commercial challenges. We engage with customers early and throughout the development process to improve market fit.

Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough AI + Quantum solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar.

We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM.

Residencies at SandboxAQ

If you’re a graduate student in STEM ready to bring the new AI + Quantum era to the world, consider joining our residency program at SandboxAQ.

We are currently looking for students in a wide variety of STEM fields — physics, computer science, AI, neuroscience, chemistry, cryptography, mathematics/statistics, biomedical engineering, aerospace engineering, geophysics, and more — to join our world-class team of engineers, scientists and technologists.

Biomedical Research

The SandboxAQ Quantum Sensing Team deploys state-of-the-art hardware to expand capabilities in medical diagnosis, GPS-free navigation, and autonomous vehicles. We are looking for a Biomedical Sensing Resident to join our dynamic team! Successful candidates will work at the intersection of analysis and experimental design, working with our data analysis team to explore classical and ML based signal processing approaches to biomedical data. They will interface with both simulated and real data to evaluate the efficacy of these approaches as we deploy biomedical sensor systems in real-world environments. You will work closely with Engineers/Scientists on the data science team to develop algorithms for processing and analyzing real and synthetic data, as well as informing experimental design decisions to optimize the system performance.

Core Responsibilities

  • Reviewing and presenting literature on existing signal processing and ML methods for denoising time-series biomedical sensor data
  • Reviewing and presenting literature on paradigms for feature extraction and classification of biomedical sensor data
  • Prototyping, testing and evaluation of advanced classical, as well as ML based, digital signal processing methods on real and simulated datasets
  • Testing and evaluating feature extraction and classification algorithms on large synthetic training sets

Qualifications and Skills

We are looking for candidates who have:

  • Ability to work closely and communicate clearly with other team members
  • Hands-on experience in one or more of the following fields: Biomedical Engineering, Data Science, Signal Processing, or Machine Learning
  • Experience designing, building, and using Python code
  • Experience applying Machine Learning methods to time-series data
  • Strong understanding of signal processing fundamentals
  • Strong experimental skills and a hands-on approach to problem solving
  • Intellectual curiosity and a positive attitude

Additional skills that could come in handy:

  • Experience in handling and processing biomedical sensor data
  • Experience with quantum sensors and/or sensor arrays
  • Proficiency with version control tools such as Git


  • Location: Remote
  • Start date: Year-round, on a rolling basis
  • Duration: Flexible, typically between 3 months to one year


  • Currently enrolled in a STEM PhD program: math, computer science, engineering, physics, or related field. **Non-PhD post-graduate students may be considered on a case-by-case basis (e.g. MD, Masters)
  • Proficiency with at least one programming language (Python, C/C++, Matlab, etc.)
    • For questions, email

SandboxAQ welcomes all.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in quantum technology.
We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. 
Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Accommodations: we provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation.

SandboxAQ Headquarters Location

Palo Alto, CA

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SandboxAQ Company Size

Between 100 - 500 employees

SandboxAQ Founded Year


SandboxAQ Total Amount Raised


SandboxAQ Funding Rounds

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  • Series Unknown

    $500,000,000 USD