Deep Learning for Digital Pathology Development Engineer & Data Scientist

Job description

Your challenge

Designed around the needs of pathologists, Philips offers an integrated Digital Pathology Solution, improving the quality and effectiveness of the operation in hospitals and research centers that have deployed digital pathology. Image analytics will play an increasingly important role in improving the quality and effectiveness of digital pathology. Image analysis algorithms range from computer aided measurements and characterization to algorithms assisting the diagnosis and well as the workflow of the pathologist.

As a Deep Learning for Digital Pathology Development Engineer & Data Scientist, you will strengthen the Advanced Development team with brain- and man- power to ensure the timely release of high quality products, systems and services to ensure the continued growth in an agile environment. You will work on the development and implementation of advanced image analytics solutions on top of the Philips Digital Pathology Solution that will help pathologist to improve the quality and speed of their work.

Your responsibilities

Within this role you will be able to:

·  Create, validate and demonstrate a meaningful innovation in the digital pathology clinical workflow that uses state-of-the-art deep learning techniques to improve the quality and efficiency of the pathologist’s diagnoses.

We expect you to deliver:

·  Deep learning based proof-of-concept to enhance the efficiency and/or quality of the pathologist’s diagnosis
·  Validation of the proof-of-concept
·  Demonstration of proof-of-concept in a clinical pathology lab

Your team

The Philips Digital Pathology Solutions (PDPS) venture started in 2007 and has is based in US, Europe and Asia and keeps expanding. Our mission: In a world with increasing challenges for cancer diagnostic procedures and quality of patient care we want to be number one in empowering Pathologists with Digital Pathology Solutions via the best Pathology scanners, Image Management System, workflow and Image Analysis solutions available. This helps the pathology laboratory and the pathologists to work more effectively, leading to higher quality diagnosis and as a result better patient care.

When you walk into work you will be joining a truly entrepreneurial team of over 330 employees spread across 8 countries, all passionate about defining the future, growing the business and having fun. You will be considered an “early joiner” to the Philips Emerging Businesses family.

This position will be located at our facility in Best, The Netherlands.

Our offer

We believe that every mega growth period creates an exceptional career runway. In fact, the Emerging Businesses leadership team gets out of bed every morning with the sole focus of growing the business and growing the people who contribute to it. Luckily, you are the benefactor of this unique opportunity and leadership commitment- likely to experience an exciting high stakes, mobility-focused environment from which to create your own future – personally, professionally & financially.

We welcome you to a challenging, innovative environment with great opportunities for you to explore.

You will learn to:

·  Create meaningful solutions for healthcare based on advanced artificial intelligence
·  Team up with a multi-disciplinary development team
·  Collaborate with pathologists in an actual digitized pathology lab to explore, create and validate new innovative concepts

We offer you 3 x 9 months projects in 2 countries and 2 businesses in which we would like you to start the first one per September 2017. This project will be your start of your 27 months journey through the Philips Emerging Business organization.

We are looking for

Our ideal candidate has an analytic and problem solving mindset, and has/is:

·  Master degree in:
·  (applied) mathematics
·  biomedical engineering
·  computer science
·  (applied) physics
·  electrical engineering
·  artificial intelligence
·  Flexible and open attitude, good (customer) communication skills in English
·  Self-starting capabilities and an entrepreneurial mindset;
·  Preferably affinity with working in cross functional teams;
·  Relevant experience with:
·  Computer vision, image analysis & processing, machine learning (e.g. deep learning, random forest, convolutional neural networks)
·  Object detection, feature extraction, segmentation and image recognition
·  Statistical modeling & analysis and (bio)statisticsAnalyzing big data sets, efficient computation and code optimization
·  R, Theano, Caffe, TensorFlow, Torch, MATLAB, OpenCV, Python, Scala, C / C++ (or similar)

If you recognize yourself in this profile and would like to take this challenge, we invite you to apply until latest 05-02-2017

Recruitment process

If you’re interested in this opportunity to join us, please upload your resume and motivation letter.

·  if you pass the pre-selection round you will be asked to make an online ability test;
·  if you achieve the required score on this test, you will be invited for Skype interviews with our Campus Recruiter;
·  if you pass this interview, you will be invited for a follow-up interview the business
·  if you pass the business Skype interview you will be invited for a face-to-face business interview proceeded by a floor tour (half a day in your agenda)
·  When you successfully complete the selection process you are able to start per 1st of September 2017 in your first assignment which are especially created for this program.

Contact

In case of difficulties with your job application please send an email to