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Senior Data Scientist
Senior Data ScientistParadromics Inc • Newark, NJ, US
Senior Data Scientist

Senior Data Scientist

Paradromics Inc • Newark, NJ, US
2 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Why Join Us

At Paradromics Inc., we’re redefining what’s possible in neurotechnology to restore independence and transform lives. As a leader in brain–computer interface (BCI) innovation, Paradromics is developing high-data-rate neural communication systems that empower people with paralysis, sensory loss, and neurological conditions to reconnect with the world.

Join a mission-driven team where data, science, and technology converge and where your analytical expertise will directly contribute to building life-changing breakthroughs in human communication.

About Paradromics

Paradromics Inc. is a pioneering medical technology company dedicated to developing implantable brain–computer interfaces that restore communication and functional independence for people affected by severe neurological conditions. Our work sits at the intersection of neuroscience, engineering, and data science.

Headquartered in Austin, Texas, Paradromics operates with a global, remote-first mindset empowering top talent to contribute from anywhere. Our culture thrives on innovation, collaboration, and scientific excellence, where data-driven insights accelerate our mission to build a more connected future.

Position Summary

The Senior Data Scientist will play a key role in advancing Paradromics’ data science capabilities by designing and deploying machine learning and signal processing models that drive our neurotechnology systems. You will work with large-scale neural and behavioral datasets to uncover insights, develop predictive models, and enhance the performance of our brain–computer interface (BCI) platforms.

The ideal candidate is a hands-on problem solver who thrives in a collaborative, cross-functional environment passionate about applying data science to unlock new frontiers in neuroscience and human health.

Key Responsibilities

  • Design, develop, and optimize machine learning models and statistical algorithms to analyze complex neural and behavioral data.
  • Collaborate with neuroscientists, software engineers, and hardware teams to integrate data-driven solutions into product development.
  • Build scalable data pipelines and tools for data acquisition, analysis, and visualization.
  • Conduct exploratory data analysis and interpret high-frequency neural signals to identify actionable patterns.
  • Support development of real-time decoding algorithms for BCI applications.
  • Ensure scientific rigor, reproducibility, and documentation across all analytical workflows.
  • Communicate findings effectively to both technical and non-technical stakeholders.
  • Contribute to long-term data infrastructure and strategic planning for advanced AI applications.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, Electrical Engineering, Neuroscience, or a related field.
  • 5–8 years of professional experience in data science, machine learning, or computational modeling, preferably within biomedical, neuroscience, or high-tech environments.
  • Proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch).
  • Strong foundation in statistics, signal processing, and machine learning methodologies.
  • Experience working with time-series, biosignal, or neural data.
  • Strong skills in data visualization and communication (Matplotlib, Plotly, or Dash).
  • Proven ability to work independently and collaboratively in a remote, cross-functional environment.

    • Preferred Qualifications

  • Ph.D. in Data Science, Computational Neuroscience, Electrical Engineering, or related discipline.
  • Experience with neural recording technologies (EEG, ECoG, or intracortical data).
  • Familiarity with cloud computing platforms (AWS, GCP, or Azure).
  • Knowledge of deep learning architectures for decoding or pattern recognition tasks.
  • Prior experience in neurotechnology, medical devices, or healthcare R&D.

    • Work Environment

  • Fully remote position (U.S.-based), with flexibility for collaboration across time zones.
  • Occasional travel may be required for team meetings, research collaborations, or conferences.
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