Breathe Superspeciality Clinic is a leading multi-speciality clinic with a particular focus on pulmonary medicine. We offer a comprehensive range of services to our patients, from diagnostics and consultations to advanced treatments. We are committed to providing our patients with the highest quality of care in a warm and welcoming environment. About the Role We are seeking a motivated and personable Front Office Executive (Receptionist) to join our team. In this role, you will be the first point of contact for our patients, ensuring a positive and efficient experience from the moment they walk in the door. Responsibilities Greet patients and visitors in a friendly and professional manner Answer phones, schedule appointments, and manage the clinic calendar Manage patient flow and ensure the waiting area is clean and comfortable Process patient paperwork and insurance information Collect payments and maintain accurate records Assist healthcare providers with administrative tasks as needed Maintain a clean and professional work environment Stay up-to-date on clinic policies and procedures Qualifications Graduate Degree Minimum 1 year of experience in a front office or customer service role Excellent communication and interpersonal skills Strong organizational and time management skills Proficient in computer skills, including Microsoft Office Suite Ability to work independently and as part of a team Positive and professional attitude Working knowledge of medical terminology a plus Job Type: Full-time Pay: ₹10,000.00 - ₹12,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Experience: total work: 1 year (Required) Language: English (Required) Assamese (Required) Hindi (Required) Work Location: In person
About us: Respirit Healthcare is seeking a technically proficient and detail-oriented Bio-Medical Hardware Engineer to join our innovative medical device development team. You will be responsible for the design, integration, and testing of hardware systems in medical electronics. This role requires hands-on experience in microcontroller-based systems, signal processing, and sensor integration tailored for healthcare applications. Our product includes a portable spirometry device connected to a mobile app to screen and monitor asthma, COPD, and other lung conditions — especially in underserved areas. Apply only if you thrive in a fast-paced, high-pressure environment. We're building something from the ground up, and things move quickly — you'll face tight deadlines, real-world clinical problems, and continuous feedback loops. If you're looking for comfort or predictability, this may not be for you. At Respirit, your work can impact thousands of lives by making respiratory diagnostics affordable and accessible in India’s underserved communities. Key Responsibilities Design and develop hardware architectures using microcontrollers (e.g., Arduino, STM32) for biomedical devices. Implement analog and digital signal processing techniques for accurate biomedical data acquisition. Interface and calibrate medical-grade sensors (e.g., ECG, SPO2, temperature, pressure). Execute schematic design, PCB layout reviews, and circuit prototyping. Perform hardware troubleshooting, validation, and modifications to meet clinical and functional requirements. Collaborate cross-functionally with software, mechanical, and compliance teams for full-cycle product development. Ensure all hardware systems align with medical device safety, performance, and regulatory standards. Prepare detailed documentation including wiring diagrams, validation protocols, and technical reports. Required Skills Proficiency with microcontrollers and embedded hardware platforms (Arduino, STM32, etc.). Strong foundation in analog-to-digital conversion and biomedical signal processing . Experience with sensor interfacing , calibration, and performance enhancement. Practical skills in circuit assembly, debugging , and hardware modifications . Knowledge of medical device components and industry-specific sensor technologies. Familiarity with compliance standards such as IEC 60601 is a plus. Educational Qualifications B.E./B.Tech or M.E./M.Tech in Biomedical Engineering , Electronics and Communication Engineering , Instrumentation , or a related discipline. Preferred Qualifications Hands-on experience or academic projects involving medical device hardware. Strong analytical skills and problem-solving mindset. Ability to work independently and collaboratively in a multidisciplinary environment. Excellent communication and documentation abilities. Why Join Us? Be part of a mission to innovate and improve healthcare through cutting-edge medical technologies. Work in a collaborative environment that encourages learning and growth. Contribute directly to life-saving products and patient care solutions. How to Apply: Send your resume, GitHub profile (if available), and any previous projects on biomedical signals or time-series data to support@respirithealth.com or apply directly here on Indeed. Job Type: Full-time Schedule: Day shift Ability to commute/relocate: Khanapara, Guwahati, Assam: Reliably commute or planning to relocate before starting work (Required) Location: Khanapara, Guwahati, Assam (Required) Work Location: In person
Company: Respirit Healthcare Pvt. Ltd. Location: Guwahati, Assam Employment Type: Full-Time About Us Respirit Healthcare is a DPIIT-recognized health-tech startup building India’s first integrated respiratory care ecosystem. Our flagship product, the Respirit Smart Respiratory Device, combines portable spirometry with AI-driven analytics for early detection and monitoring of lung diseases. We are incubated at IIT Guwahati, IIM Calcutta Innovation Park, NSRCEL IIM Bangalore, Amrita TBI, and STPI Guwahati. Role Overview We are hiring an Algorithm / AI Engineers to join our core device development team. This is not a side project—it is a deeptech medical device mission that demands serious commitment and long-term vision. You will be working on critical algorithms that directly impact patients’ lives, alongside pulmonologists, engineers, and clinical researchers. Key Responsibilities Develop and refine algorithms for spirometry curve correction (flow-volume, volume-time). Implement error detection and signal filtering for real-world data. Build predictive AI/ML models for early diagnosis and progression tracking of COPD, asthma, and related conditions. Collaborate with clinicians to validate algorithm outputs against gold-standard devices. Support integration of algorithms into mobile and cloud platforms for real-time use. Document processes in line with medical device software standards (IEC 62304, ISO 13485). Qualifications B.Tech/M.Tech/PhD in Computer Science, Data Science, Biomedical Engineering, or related field. Strong experience in Python (NumPy, SciPy, TensorFlow, PyTorch, scikit-learn). Hands-on knowledge of signal processing and time-series data analysis. Understanding of respiratory physiology and spirometry parameters (FEV1, FVC, PEF, FEV1/FVC ratio) preferred. Prior work in healthcare AI/biomedical data will be a strong advantage. Why Join Us? Work at the frontline of AI + Medtech innovation. Directly impact lives of respiratory patients across India and beyond. ESOPs available for early team members who commit long-term. Collaborate with leading incubators, clinicians, and global advisors. To Apply (Mandatory Steps) We are only considering serious candidates who are willing to invest effort. A cover letter on "Why do you want to apply AI to healthcare?" (200 words max) Shortlisted candidates will complete an assignment on spirometry data (signal correction/predictive modeling). Confirm you are open to working with Respirit for at least 1–2 years. Applications without the cover letter will not be considered. Send your resume to support@respirithealth.com or apply directly here on Indeed. Job Types: Full-time, Permanent Benefits: Paid sick time Paid time off Ability to commute/relocate: Khanapara, Guwahati, Assam: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Work Location: In person