11 - 50 employees
🧬 Biotechnology
⚕️ Healthcare Insurance
🔬 Science
Biotechnology • Healthcare Insurance • Science
Beacon Biosignals is a company focused on powering precision medicine for the brain. Their EEG neurobiomarker platform is engineered to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. The platform captures a rich array of the brain's activity in real time and utilizes machine learning to analyze EEG data for treatment efficacy, dose selection, and population stratification. Beacon Biosignals partners with biopharma companies, academic medical centers, and neurotechnology developers to improve the diagnosis and treatment of neurological and psychiatric diseases.
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11 - 50 employees
🧬 Biotechnology
⚕️ Healthcare Insurance
🔬 Science
Biotechnology • Healthcare Insurance • Science
Beacon Biosignals is a company focused on powering precision medicine for the brain. Their EEG neurobiomarker platform is engineered to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. The platform captures a rich array of the brain's activity in real time and utilizes machine learning to analyze EEG data for treatment efficacy, dose selection, and population stratification. Beacon Biosignals partners with biopharma companies, academic medical centers, and neurotechnology developers to improve the diagnosis and treatment of neurological and psychiatric diseases.
• participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices • select, implement, and develop the most appropriate method for each problem • enhance our internal deep learning and machine learning tools to boost team efficiency • spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested • present results to key stakeholders • support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers
• more than 5 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields • experienced with digital signal processing (DSP) and statistics • proficient in using PyTorch (preferred) or other deep learning frameworks • proficient with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training) • follow and spread best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking. • experienced with biosignals, medical imaging data, or large time-series datasets
• equity • PTO • flexible work arrangements
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