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Principal Data Scientist
NeurOptics

  • Irvine, CA 92618, United States
  • Full-time
  • In-person
  • No Salary Information Available
Posted 79 days ago

NeurOptics, a leader in pupillometry, is devoted to enhancing patient outcomes through innovative technology solutions in critical care and neurology. The company is headquartered in Irvine, California, and operates in over 40 countries. They are searching for a Principal Data Scientist to lead the integration and development of advanced data tools, facilitating significant clinical insights and supporting robust hypothesis testing and strategic decisions.

In this role you can expect to have the responsibilities:

  • Develop and integrate tools for data exploration, visualization, and analysis.
  • Manage and analyze high-dimensional clinical data to derive strategic insights.
  • Collaborate with teams to deliver analytical insights and drive business strategy.
  • Design and implement machine learning models using classical and generative AI techniques.
  • Conduct experiments and optimize experimental design for clinical questions.
  • Own the full lifecycle of model development and deployment.
  • Create interactive dashboards for data visualization.
  • Communicate complex findings to various audiences through reports and presentations.
  • Develop KPIs to assess model and clinical outcomes success.
  • Explore new analytics opportunities in clinical research.

This role comes with the following benefits:

  • Opportunity to work on innovative projects.
  • Collaborative culture with a focus on meaningful clinical outcomes.
  • Competitive salary and benefits package.

This role requires you to have:

  • Expertise in machine learning, data analytics, and clinical data management.
  • Proficiency in Python, R, SQL, and data visualization tools like Tableau.
  • Experience with high-dimensional data analysis and clinical trials.
  • Strong communication skills for translating complex data findings.

You would benefit from having:

  • Experience in biotech or pharma sectors.
  • Familiarity with deep learning frameworks like TensorFlow or PyTorch.
  • Knowledge of cloud platforms for model deployment, such as AWS or Google Cloud.

The role demands balancing technical expertise with domain knowledge to enhance patient care. NeurOptics is committed to leveraging advanced analytics to drive innovation in clinical research.

The content on this page is not written or managed by Alooba. Please reach out to NeurOptics directly for any addtional information regarding this role.

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