Scientist - Physiological Sensing

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Join Charles River Analytics: Tackling the World's Most Challenging Problems

At Charles River Analytics, we develop cutting-edge solutions to address some of the most complex issues facing the world today. Our team comprises innovative technological entrepreneurs focused on advancing AI, robotics, smart sensing, and human-centered computing. Through our cutting-edge research and development, we continuously make strides in both government programs and the commercial marketplace.

As a 100% employee-owned company, we cultivate a culture of participation, innovation, and responsibility among all our staff members. Our success lies in attracting and retaining some of the most talented and creative problem-solvers in the field.

Exciting Career Opportunity: Scientist - Physiological Sensing

Are you passionate about tackling real-world challenges using human state assessment and machine learning techniques? Interested in advancing your career? Charles River Analytics is seeking bright, enthusiastic minds to join our next generation of innovators.

Job Role: PhD-level Scientist

We are on the lookout for a PhD-level Scientist to address sophisticated challenges related to human state assessment, performance optimization, physiological event detection, health and wellness, and medical diagnostics. This role involves:

  • Working on projects like embedding cognitive behavioral therapy treatment into virtual reality.
  • Developing feature extraction methodologies for real-time sensor data processing and analysis (e.g., EEG, EKG, fNIRS).
  • Pursuing novel technological applications to solve challenging problems.
  • Contributing to proposals, reports, and papers, and presenting work at briefings and conferences.
  • Collaborating with software engineers to create technology solutions.
  • Interacting with customers, users, and domain experts to understand and address challenges.

Requirements

To thrive in this role, you should possess:

  • PhD in Neuroscience/Computational Neuroscience/Cognitive Science/Psychology, Human Factors Engineering, Human-Computer Interaction, or a related field.
  • Experience with DoD entities such as DARPA, AFRL, NRO, ARL, or similar is desirable.
  • Proven capability to lead innovative, independent research and manage customer relationships.
  • Proficiency in Python and at least one of the following data science software tools: pandas, tensorflow, scikit-learn, luigi, nipype, mne, statsmodels, pymc3.
  • Knowledge of machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras).
  • Ability to work onsite 3 times per week (60% onsite / 40% remote) in Cambridge, MA.
  • U.S. Citizenship required.

Preferred Qualifications

Additional qualifications that can set you apart:

  • 3+ years of relevant experience.
  • A publication record in relevant fields.
  • Proficiency in C/C++, R, or Matlab.
  • Experience in machine learning, particularly in time series domains.
  • Teaching experience in related fields.
  • Experience in human subjects research.

Why Choose Charles River Analytics?

Charles River Analytics takes pride in creating a collaborative environment that values every employee-owner. We offer competitive compensation packages that include bonuses, profit-sharing, and attractive benefits such as:

  • 100% employer-paid medical, dental, vision, life, and disability insurance.
  • Generous paid maternity/paternity leave.
  • Tuition reimbursement.
  • Monthly gym allowance and free parking.
  • Generous paid time off and a casual working environment.

Our hybrid schedule includes 60% onsite and 40% remote work arrangements, promoting work-life balance. We are conveniently located in Cambridge, MA, accessible by public transportation.

If you are a creative and independent thinker with an entrepreneurial spirit, we invite you to join our team and contribute to the innovation and advancement at Charles River Analytics.