Research Scientist I
Philips
Bangalore, Karnataka, India
3d ago

Job Description

Philips is a global leader in health technology, committed to improving billions of lives worldwide and striving to make the world healthier and more sustainable through innovation.

Driven by the vision of a better tomorrow.

But it’s not just what we do, it’s who we are. We are 80,000, wonderfully unique individuals, with two things in common.

An unwavering sense of purpose and a relentless determination to deliver on our customers’ needs. It’s what inspires us to create meaningful solutions the kind that make a real difference when it matters most.

The world and our customers’ needs are changing faster than ever before and while we are proud of what we do already, we know we can do more.

That’s why we need you, to help us tackle increasingly complex challenges posed by ever evolving health and well-being needs.

You are responsible for

  • Explore and develop a variety of Artificial Intelligence (AI) algorithms for health care applications
  • Interprets and analyses data using exploratory mathematical and statistical methods to identify trends, patterns, and insights from data
  • Build Natural Language Processing applications by using features developed by transformation of natural language data
  • Adopt powerful text representations for the transformation of natural language into effective features
  • Identify and implement the tools and algorithms appropriate for Natural language processing assignments
  • 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 collaborators and key stakeholders / customers
  • You are a part of

    Philips Research is a global organization that helps Philips introduce meaningful innovations that improve people’s lives.

    Weprovide technological optionsfor innovations in health and well-being, targeted at both developed and emergingmarkets.

    Positioned on thefront-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.

    Research India is a key lab, developing innovative concepts and solutions in the areasof healthcare, informatics,cardiology, oncology, pregnancy, andparenting.

    Theseare enabled by advanced pattern recognition, deep learning, and AI technologies to modernize clinical diagnostics and healthcareindustrialization.

    To succeed in this role, you’ll need a customer-first attitude and the following

  • Masters with 8-10 years OR PhD with 5 years of experience in NLP and General Machine Learning discipline
  • Experience in developing NLP algorithms
  • Understanding of NLP techniques for text representation (such as n-grams, bag of words, sentiment analysis etc), semantic extraction techniques, data structures and modeling
  • Experience in using Auto encoders like Transformers
  • Excellent understanding of machine learning techniques and algorithms like k-NN, SVM, Random Forest, privacy models, etc.
  • Understanding exploratory data processing techniques such as cleaning and verifying the integrity of data used for analysis
  • Understanding of state-of-the-art NLP algorithms and techniques for extracting meaningful information from the clinical text reports
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience in building and optimizing reactive and predictive models with NLP / Machine Learning techniques
  • Experience with one or more analytic software tools or languages like Python, java, R
  • Experience with machine learning frameworks, like Keras or PyTorch and NLP based libraries
  • Strong analytical, problem solving and communication skills
  • Educational / Professional Qualification

  • Masters with 5 years OR PhD with 1-2 years of NLP and data analytics / ML experience
  • Stream

  • Computer Science, Engineering (Electrical, Communication, etc.), Mathematics / Statistics
  • In return, we offer you

    A chance to serve a bigger purpose. At Philips, our mission to improve the lives of 2 billion people per year by 2025, and everyday we move closer to achieving our goal by creating cutting-edge solutions that lead to confident diagnosis, improved care, and increased quality of life for patients drive us.

    We enable our employees to create a legacy in life through their work and support their development through people-centric learning, total rewards and personalized development planning programs.

    Our business provides unique opportunities to develop cutting edge enterprise software solutions and deliver meaningful solutions in the healthcare space and this new position is a unique opportunity to shape the next generation solutions we are developing.

    How we work at Philips

    Our newly-adopted hybrid work concept fuses flexibility with collaboration to deliver great outcomes for our people and our customers.

    We are embracing an approach wherein we spend more time together than apart which for full-time employees translates to an average of at least 3 days working from the office and up to 2 days from home for our hybrid roles.

    Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way.

    Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way.

    Our hybrid working model is defined in 3 ways :

    We believe in the importance of impactful collaboration : There's a certain energy when everyone’s in the same room that can heighten idea generation and creative friction needed for problem-solving.

    We embrace flexibility : Choosing where, when and how to work can vary according to task and team schedules. Flexibility isn’t office or online, it means choosing the space that works best for you, your teams and our customers on a case-by-case basis.

    We want to be at our best : The way we work and our workspaces are designed to support our well-being, offer career advancement opportunities, and enable us to be at our best.

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