Research Scientist at Philips, Bengaluru: Apply Now

Applications are invited for Research Scientist at Philips, Bengaluru for the year 2021. Online applications are open on the official website.

About Philips

Philips Research is a global organization that helps Philips introduce meaningful innovations that improve people’s lives. We provide technological options for innovations in health and well-being, targeted at both developed and emerging markets. Positioned on the front-end of the innovation process, we work on everything from spotting trends and ideation to proof of concept and – where needed–first-of-a-kind product development.

Eligibility

Educational Qualification

Edureka - PG Diploma in AI & Machine Learning

Masters/PhD in Statistics, Mathematics, Computer Science from reputed universities

Experience

Masters with 5 years OR PhD with 2 years of relevant experience in
Healthcare data analysis, generating population level insights
Define and utilize statistical methods to solve industry-specific problems in varying fields, such as population studies healthcare
Compare and analyze provided statistical information to identify patterns, relationships, and problems
Develop mathematical or statistical models to analyze data
Develop new mathematical rules, theories, and concepts in areas of population health domain
Prevalence based statistical analysis of disease burden
Understanding of strong underlying mathematical concepts
Developing AI, and various machine learning and deep learning techniques
Experience with one or more analytic software tools or languages- R and Python & SAS,SPSS,

Responsibilities

Explore and develop a variety of Data Science algorithms for health care applications
Interprets and analyses data using exploratory mathematical and statistical methods to identify trends, patterns and insights from data
Analyze the unstructured complex database to extract relevant meaningful information for further insights
Collaborate with research engineers at other R&D locations to translate algorithms into commercially viable products and services
Building models and putting your work in a production environment
Communicate and present various proposals, concepts, and results to clinical collaborators, stakeholders and customers
Decide what data are needed to answer specific questions or problems
Design surveys, experiments, or opinion polls to collect data
Use data analysis to support and improve business decisions