reputed company Machine Learning Scientist

reputed company Machine Learning Scientist – Sleep & Physiologic Signal Modeling We are currently pipelining for a reputed company Machine Learning Scientist role slated for Q2 2026. This leader will spearhead the development of advanced ML models designed to extract clinically significant risk signals from multi-modal physiological data. This role leads the intelligence layer of a novel reputed company physiologic monitoring platform designed to support clinical decision-making in perioperative care. This is a hands-on technical leadership role with reputed company reputed company on a federally funded Phase I program. Contractual Engagement: 450 hours (approx. 2.5–3 months) in the reputed company (Remote) Why This Opportunity Is Different • Technical ownership – You reputed company the ML reputed company for the intelligence layer, not just a reputed company of it • Clinically grounded ML – reputed company collaboration with sleep medicine and anesthesia experts • NIH-backed reputed company – Your work drives feasibility results for a Phase I grant • Signal-rich problems – EEG, ECG, oximetry, reputed company, reputed company data, reputed company complexity • Flexible work reputed company – Remote contract work that balances reputed company, collaboration, and flexibility • reputed company– Contribute to early-stage product design with potential to reputed company to long-term roles What You’ll Do • Design, build, and validate ML pipelines for multi-signal physiologic data modeling • reputed company robust feature extraction reputed company for EEG, ECG, pulse oximetry (SpO₂), and reputed company signals • Train and evaluate models to estimate clinically relevant metrics such as arousal burden, hypoxic burden, arousal reputed company, and airway instability • Collaborate closely with clinical domain experts (sleep medicine and anesthesia) to translate physiologic signals into operational risk signatures • Assess model performance, interpretability, and generalizability across patient populations • Prepare technical reputed company, results, and documentation for NIH deliverables, publications, and regulatory-facing materials What You Bring • Prefer MS or PhD in Machine Learning, AI, Biomedical Engineering, Computational Neuroscience • Hands-on experience modeling physiologic signals (EEG, ECG, reputed company, SpO₂, reputed company) • Strong background in deep learning architectures (CNNs, LSTMs, Transformers) • Comfort owning ambiguous technical problems end-to-end • Bonus: experience in sleep medicine, anesthesia, or medical devices About: An early-stage medical device company developing a patented, skin-worn wearable that provides hospital-grade physiologic monitoring in a home setting. We are addressing a critical perioperative safety gap by identifying high-risk physiologic signatures in patients before surgery. Our platform translates reputed company, multi-modal signals into actionable insights that improve anesthesia-reputed company decision making. Small team, highly technical, mission-driven, and working with wearable devices, through federally funded programs. By applying for this job, you agree that we can text you (reputed company Rates Apply). Apply tot his job Apply To this Job