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Internship Details

About Internship:

About SiCureMi Healthcare Technologies (http://www.sicuremi.com/):
SiCureMi - signature cure using medical intelligence uses real-time data analytics engine to enable patients to be health aware and smarter about their own health, provides personalized guidance and minimizes the risk of lifestyle diseases.
About the Internship:
# of Internships available: 1
Who can apply:
Only those candidates can apply who:
are available for full time (in-office) internship
can start the internship between 25th Oct'19 and 24th Nov'19
are available for a duration of 2 months
have relevant skills and interests

Roles and Responsibilities:

Selected intern's day-to-day responsibilities include:

1. Identify new business opportunities - including new markets, growth areas, trends, customers, products, and services
2. Seek out the appropriate contact in organizations/hospitals/clinics
3. Meet with customers/clients face to face or over the phone
4. Think strategically - see the bigger picture and set aims and objectives in order to develop and improve the business
5. Manage and develop relationships with key internal and external stakeholders
6. Perform customer profitability analysis, identify areas of improvement for maintaining better customer relationship
7. Ensure structured reporting of progress to the management for future decision making


1.minimum stipend

No. of Positions


Skills Required

Application Deadline

Apply by: 30th Nov `19


Rs. 5000-5000

About Company

At SiCureMi, we aim to develop an affordable and non-invasive “Intelligent Self Care” product for users providing personalized care using predictive analytics from historical/real-time data using IOT/Mobile based app. By integrating the Internet of Things (IoT) with healthcare, we aspire to not only keep the patients safe and healthy, but also improve the quality and efficacy of medical services being delivered to them. SiCureMi collects data from your wearables and using its state of the art predictive algorithms it analyses and predicts health-based anomalies. This intelligent platform searches for patterns in the data collected and raises alarms and notifications thus keeping the patients healthy.

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