Data Scientist
1 week ago
Overview:
Dozee Health AI is a pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as Indias no. 1 RPM Company. We are seeking visionary individuals to help us in this very exciting journey. As a part of our dynamic team, youll have the opportunity to collaborate with top healthcare providers in the country, applying AI-powered RPM solutions to tackle some of the most pressing challenges in healthcare - enhancing staff efficiency, improving patient outcomes, and pioneering the next generation of care models.
- To initiate, develop and optimize algorithms to solve healthcare problems
- To ensure a constant flow of case studies/publications from acquired health datasets
- To extract feedback for product and marketing in order to improve and optimize their functions
- To optimize and upgrade existing pipelines and processes
- To ensure performance on par with business requirements
- To keep the software stack and implementation up to date with the latest advancements in the industry
- 3 years of relevant work experience
- Strong fundamentals in statistics and machine learning
- Excellent scripting and programming skills with Python (preferred), Julia or R
- Experience of working with Time series data
- Experience of mining, handling and analyzing big datasets
- Experience of working with TensorFlow/Keras/Pytorch
- Experience of working with Spark/Hadoop and help set up pipelines
- Excellent data communication, sharp analytical abilities with proven design skills along with the ability to think critically of the current system and existing projects
Save Million lives with Health AI
Dozee is Indias leading AI-Powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS). A solution that continuously monitors patients and provides early warnings of clinical deterioration, enabling timely interventions and enhancing patient safety in hospitals, nursing facilities and patient homes. A "Made in India for the World" solution, Dozee has pioneered the worlds first non-contact blood pressure monitoring system. Trusted by leading healthcare providers in India, the USA, and Africa, Dozee is transforming patient safety and care by enhancing outcomes and reducing costs.
Dozee is adopted by 300 hospitals and monitors 16000 beds across 4 countries. Dozee has monitored over 1 Mn Patients, Delivered 35000 Life-Saving Alerts and Saved 10 Mn Nursing Hours.
Videos- Science Behind Dozee : Ballistocardiography & Artificial Intelligence
- 100 Dozee deliver 144 life-saving alerts and INR 2.7 Cr of saving - Sattva Study
- Dozee saves the life of a mother at home
- Leading Healthcare Game changers work with Dozee
- Introducing Dozee VS
- Dozee Shravan - A clinical-grade RPM service
- Bloomberg - Oct 21, 2024: From AI Beds to Remote ICUs, Startups are plugging India's health gaps
- News18 - Oct 26, 2024: Now, You Can Remotely Monitor Your Loved Ones in Hospital With Bengaluru Start-Up's 'Shravan'
- Analytics India Magazine - Oct 29, 2024: Dozee Harness AI for Personalised Patient Care
- ET HealthWorld - Sep 16, 2024: We trust AI every day - From Google Maps to Smartphones, So why not use it to enhance patient safety in healthcare?
- BW health care world - Oct 29, 2024: Dozee's AI-Powered System Predicts Patient Deterioration 16 Hours in Advance
A tertiary care hospital study published in JMIR validated Dozees Early Warning System (EWS), showing it identified 97 PERCENT of deteriorating patients, provided alerts ~19 hours in advance, and generated 5x fewer alerts, reducing alarm fatigue and improving patient outcomes. A study at King George Medical University, Lucknow, published in Frontiers in Medical Technology demonstrated that Dozees automation can potentially save 2.5 hours of nursing time per shift, improving workflow efficiency and allowing more focus on patient care. A study on remote patient monitoring in general wards published in Cureus found that 90 PERCENT of healthcare providers reported improved care and patient safety, 74 PERCENT of patients felt safer, and there was a 43 PERCENT increase in time for direct patient care. Research by Sattva, an independent consulting firm, demonstrates Dozee's substantial impact: for every 100 Dozee-connected beds, it can save approximately 144 lives, reduce nurses time for vital checks by 80 PERCENT , and decrease ICU average length of stay by 1.3 days.
Key Highlights- Founded: October, 2015
- Founders: Mudit Dandwate, Gaurav Parchani
- Headquarters: Bangalore, India | Houston, USA | Dubai, UAE
- Key Investors & Backers: Prime Ventures, 3one4 Capital, YourNest Capital, Gokul Rajaram, BIRAC (Department of Biotechnology, State Bank of India), Dinesh Mody Ventures, Temasek Foundation, Horizons Ventures
- Stage: Series A
- Team Strength: 280
- Business: Providing Continuum of care with AI-powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS) for Hospitals and Home.
- Certifications & Accreditations: ISO13485:2016 Certified, ISO27001:2022 Certified, CDSCO Registered, FDA510K Cleared for the flagship product Dozee Vitals Signs (VS) measurement system and SOC2 Type II Certified
- Forbes India 30 under 30
- Forbes Asia 100 to Watch
- Times Network - India Health Awards 2024 for AI innovation in Bharat Healthcare tech
- BML Munjal Award for Business Excellence using Learning and Development
- FICCI Digital Innovation in Healthcare Award
- Anjani Mashelkar Inclusive Innovation Award
- Marico Innovation For India Award
To know more about , click here.
Disclaimer: Dozee is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Dozee does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Dozee will not tolerate discrimination or harassment based on any of these characteristics.
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Locations: Bangalore
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