Posted:
11/5/2024, 11:02:06 PM
Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
Medical, Clinical & Veterinary
Twin Health
At Twin Health, we empower people to reverse, prevent and improve chronic metabolic diseases. Twin Health invented The Whole Body Digital Twin™ , a dynamic representation of each individual’s unique metabolism, built from thousands of data points collected daily via non-invasive sensors and self-reported preferences. The Whole Body Digital Twin delivers a new standard of care, empowering physicians and patients to make personalized data-driven decisions.
Working here
Our team is passionate, talented, and driven by our purpose to improve the health and happiness of our members. Our culture empowers each Twin to do what’s needed to create impact for our members, partners, and our company, and enjoy their experience at work. Twin Health was awarded Innovator of the Year by Employer Health Innovation Roundtable (EHIR) (out of 358 companies), named to the 2021 CB Insights Digital Health 150, and recognized by Built In's 2022 Best Places To Work Awards. Twin Health has the backing of leading venture capital funds including ICONIQ Growth, Sequoia, and Sofina, enabling us to scale services in the U.S. and globally and help solve the global chronic metabolic disease health crisis. We have recently announced broad and growing partnerships with premier employers, such as Blackstone and Berkshire Hathaway. We are building the company you always wished you worked for. Join us in revolutionizing healthcare and building the most impactful digital health company in the world!
Excited to join us and do your part in improving people’s health and happiness?
Work from Office: Kalyan Nagar, Bangalore
Roles and Responsibilities:
Skills and Qualifications:
Website: https://twinhealth.com/
Headquarter Location: Mountain View, California, United States
Employee Count: 251-500
Year Founded: 2018
IPO Status: Private
Last Funding Type: Series D
Industries: Artificial Intelligence (AI) ⋅ Health Care ⋅ Internet of Things ⋅ Machine Learning ⋅ Nutrition ⋅ Software