About the company:
BluSense is a Delhi-based startup delivering technological innovations and solutions to hospitals across India. Current work being done involves an internet of things device, targeted at enhancing patient safety, a software suite for healthcare establishments and much more. BluSense is a research-heavy organization that focuses on the gaps in the medical tech industry and innovates sustainable solutions to bridge these gaps. Based in South Delhi, the company is forefronted by a passionate team with a focus on disruptive technologies for healthcare.
About the internship/job:
BluSense is looking for talented individuals willing to work on an IoT based product for the medical industry. The role will involve understanding certain medical workflows and analyzing the data generated through our physical devices. Selected intern's day-to-day responsibilities include: 1. Understand the doctor workflows inside hospitals 2. Compile and analyze data generated by our devices 3. Develop clear visualizations to convey complicated data in a straightforward fashion Interns will get a chance to interact with leading clinicians of India, understand the problems faced by the healthcare industry and work on a product aimed at reducing infection rates. This is a full-time on-site internship (Delhi based). Remote opportunities can be discussed in special cases.
Who can apply:
Only those students or freshers can apply who:
are available for the part time job/internship (it may be part time in-office or part time at home/work from home online)
have relevant skills and interests
can start the part time job/internship between 28th Nov'19 and 28th Dec'19
are available for duration of 2 months
have already graduated or are currently in any year of study
are from New Delhi
Females willing to start/restart their career may also apply
Proficient in SQL Proficient with Excel functions, filters and macros Experience with VBA is a bonus Experience with Numpy, Pandas and other Python tools for data analysis Experience with ML, AI preferred
Number of internships/jobs available: 1
Categories: Analytics,Data Science