SIRE® is the market leader in Life Sciences recruitment. We believe the recruitment market needs to gear up in technology and continuous innovation. We like technology, in a Life Sciences market driven on science, we couldn’t stay behind; we drive Recruitment Science. Investing a majority of our turnover in technology enables us to use unique Resource Technologies. By using highly advanced algorithms, we enable our team of Resource & Data Strategists© to maintain the most advanced, detailed and complete Life Sciences network in Europe. This big data enables us to work Reverse Recruitment©: we first analyze the market in-depth before we go out to the market. Because we analyze the whole market, we can compare facts and data. This enables us to do Facts & Big Data Recruitment©, making sure we, or better yet, you find the right career!Our client is a professional Life Sciences organisation, based in Noord-Brabant Netherlands.

The Company

Large Multinational in Life Sciences. Innovator. Currently also with a focus more on digital innovations.

Role Description

Apply, adjust and advance the state-of-the art of algorithms, software technologies and data infrastructure used as a backbone for data analytics techniques and use them in our products, services, software and solutions.
Participate in research projects that address data analytics challenges and create relevant modules and tools that enables their work.
Align and network with opinion leaders within our company Research and the Business Sectors
Scout for new technologies by visiting conferences, universities, vendors and monitor the literature and Internet sources as well as work closely with our data experts and other specialists, such as physicists and physiologists
Explore, experiment and pilot in internal concept creation projects.

Responsibilities

Design and develop software modules that will facilitate operations in the following area: image signal processing (vision), classical, deep, reinforcement, transfer, and active learning as well as distributed parallel computing, by enlarging relevant knowledge and bringing-in new knowledge;
Pro-actively make knowledge available for operational use within Philips Research and Philips, by making modules reusable by others [non-technical] as well contribute to successful transfers of research results to customers;
Keep abreast of technical, application and market developments in the relevant technological and industrial areas, showing interest in the business aspects;
Contribute to the definition of the departments research program;
Contribute pro-actively to a creative and inspiring working environment.

Requirements

A MSc/PhD in computer science or another relevant area providing good foundation in computer science and software engineering applied to data science
At least 3 years of experience in a similar role
Affinity with the research way of working
Familiarity with signal processing and computer vision packages
Hands-on experience developing modular components, specifically in Python
Good experience with data storage standards e.g. HDF5, DICOM
Knowledge of parallel distributed computing and especially big data platforms such as Hadoop or/and Spark is a plus

Other information

Great secondary benefits for more info contact me.

Are you interested and do want to apply for this role, please fill out your application via the apply button below and contact Thomas Aelen.