3 Polysomnography Jobs

Job description A Respiratory Technician assists in the diagnosis, treatment, and care of patients with respiratory conditions. Responsibilities include performing diagnostic tests such as pulmonary function tests (PFTs), assisting in bronchoscopy procedures, conducting sleep studies, and administering respiratory treatments under the supervision of licensed professionals. Key Responsibilities: Monitor patients during treatments, document vital signs, and report responses. Pulmonary Function Testing (PFT): Conduct pulmonary function tests, such as spirometry, lung volume measurements, and diffusion capacity tests. Calibrate and maintain PFT equipment to ensure accurate and reliable test results. Educate and guide patients on performing PFTs properly. Bronchoscopy Assistance: Prepare and sterilize bronchoscopy equipment before the procedure. Assist the physician during bronchoscopy by managing instruments and maintaining a sterile field. Monitor the patients vital signs and provide necessary support during the procedure. Clean and disinfect bronchoscopy instruments after the procedure. Provide post-procedure care and guidance to patients. Sleep Study (Polysomnography) Testing: Prepare and set up equipment for overnight sleep studies (polysomnography), including sensors and monitors. Monitor patients during sleep studies to assess for sleep apnea, insomnia, or other sleep disorders. Record and interpret data such as brain activity, eye movement, muscle activity, heart rate, and oxygen levels during the study. Ensure patient comfort and address any concerns during the sleep study. Qualifications: Diploma or degree in Respiratory Therapy or related healthcare field. Certification/licensure as required by local regulations (CPFT, Polysomnography Technician certification, or other relevant credentials). Experience in respiratory care, PFTs, bronchoscopy, and sleep studies. Skills and Abilities: Proficient in operating and maintaining respiratory, PFT, bronchoscopy, and sleep study equipment. Knowledge of respiratory therapy procedures, sleep disorders, and medical terminology. Excellent patient care and communication skills. Strong attention to detail and ability to follow safety and infection control protocols. Experience: total work: 1 year (Preferred) Work Location: In person Job Type: Permanent Pay: From ₹20,000.00 per month Schedule: Fixed shift Work Location: In person Expected Start Date: 01/07/2025

· Attach electrodes to patients using adhesives. · Summarize technical data to assist physicians to diagnose brain, sleep, or nervous system disorder · Conduct tests or studies such as electroencephalography (EEG), polysomnography (PSG), nerve conduction studies (NCS), electromyography (EMG), and intraoperative monitoring (IOM). · Calibrate, troubleshoot, or repair equipment and correct malfunctions as needed. · Conduct tests to determine cerebral death, the absence of brain activity, or the probability of recovery from a coma. · Measure patients' body parts and mark locations where electrodes are to be placed. · Adjust equipment to optimize viewing of the nervous system. · Collect patients' medical information needed to customize tests. · Measure visual, auditory, or somatosensory evoked potentials (EPs) to determine responses to stimuli. · Indicate artefacts or interferences derived from sources outside of the brain, such as poor electrode contact or patient movement, on electroneurodiagnostic recordings. · Monitor patients during tests or surgeries, using electroencephalographs (EEG), evoked potential (EP) instruments, or video recording equipment. · Set up, program, or record montages or electrical combinations when testing peripheral nerve, spinal cord, subcortical, or cortical responses. · Submit reports to physicians summarizing test results. Assist in training technicians, medical students, residents or other staff members. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Night shift Rotational shift Work Location: In person

Job Information Department Name Product Date Opened 03/20/2025 Job Type Full time Industry Health Care City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560068 Job Description Data becomes truly powerful when it’s distilled into simple, meaningful insights. At Ultrahuman, our Product Engineer – Health Scores will be the mastermind behind translating raw biomarker data into the elegant health metrics that guide our users. In this role, you’ll blend software engineering, data analysis, and a touch of physiology/biomedical science to create and refine the scores that users rely on (think metabolic score, recovery score, sleep quality index, etc.). Working in an engineering-driven culture that prizes first-principles thinking, you won’t just implement algorithms — you’ll question and reinvent them. Your work ensures that our users get actionable, science-backed insights from our devices, much like how a finely tuned engine yields peak performance. Responsibilities: Develop Health Scoring Algorithms: Design and implement the algorithms that calculate health scores from various data streams (HRV, heart rate, sleep patterns, glucose levels, etc.). Ensure these algorithms are rooted in scientific research and validated principles while also tailored to the unique data our Ultrahuman devices collect. Iterate and Improve Metrics: Continuously refine the scoring models by incorporating new data and feedback. For instance, adjust the recovery score algorithm as we learn more about how users respond to specific training or sleep patterns. Use first-principles reasoning to adjust weightings or create new sub-metrics when needed, always asking, “What exactly are we trying to measure, and how can we measure it better?” Cross-functional collaboration: Work alongside data scientists, physiologists, and product managers to align on what each health score should represent. Gather user feedback and clinical insights to ensure our scores truly help users make better health decisions. Collaborate with the app team to determine the best way to present these scores to users in an understandable fashion. Efficient Implementation: Implement algorithms in a performant, scalable way (likely in our backend or possibly on-device for some metrics). Ensure computations can happen in near real-time when needed, and optimize code for low power usage if running on wearable firmware. Validation & Testing: Establish validation protocols. This could involve comparing our health scores against external gold standards or outcomes (e.g., does our sleep score correlate with a polysomnography lab result? Does the metabolic score predict improvements in lab-measured biomarkers?). Work on generating data and analysis to prove out the accuracy and reliability of Ultrahuman’s health scores. Requirements Educational Background: Bachelor’s or Master’s in Computer Science, Data Science, Biomedical Engineering, or related field. A strong foundation in algorithms and data structures is required; coursework or experience in signal processing or statistics is a plus. Experience: 3+ years in a software or data-focused role. Experience building algorithms or models for real-world data (especially physiological or time-series data) is highly desirable. Could be from work in health tech, fintech risk scoring, gaming (scoring/user metrics), etc. Programming Skills: Proficient in Python or another language for data analysis and prototyping. Able to implement final algorithms in production (Python, C++ or Java on backend, or even embedded C if needed on device). Familiarity with data analysis libraries (NumPy, Pandas) and possibly ML frameworks if using machine learning for scoring improvements. Analytical Mindset: Comfortable with analyzing large datasets to derive insights. Experience with statistical analysis or validation techniques. You can think critically about what a number means and how it might mislead, ensuring our scores are both accurate and interpretable. Domain Interest: A keen interest in human physiology, health, or fitness. You don’t have to be an MD or PhD, but you should be excited to learn about things like metabolism, sleep stages, cardiovascular health, etc., as they relate to the data you’re handling. Preferred Experience: Health Tech/Wellness Projects: Experience working on any kind of health metric or fitness score (maybe you’ve contributed to a sleep analysis feature, or a stress score in a wearable app) will give you a head start. Machine Learning Knowledge: Familiarity with ML techniques for time-series or physiological data could be useful. For example, knowing how to apply filtering, anomaly detection, or predictive modeling to improve or personalize scores. First-Principles Problem Solving: Examples from your past where you broke down a complex problem and solved it from basics. Perhaps you redesigned a scoring system or created a metric from scratch because the existing ones were inadequate. Performance Tuning: Experience optimizing code for efficiency, especially if you’ve done any embedded or low-latency work. Since some algorithms might run on the ring or need to handle streaming data, this skill is valuable.