Make a real impact in how diseases are diagnosed so care can be improved for us all!
You will contribute to the development and improvement of computational and mathematical models of signal transduction pathways with the aim to develop molecular tests capable of detecting cancer driving pathways. The challenge mainly includes (statistical) analyses of clinical outcome data with respect to model results. In addition, youll be analyzing biomolecular data derived from clinical studies and biological experiments (qPCR, microarray, RNA-seq) to verify, develop and further improve our computational models. Furthermore, you will act as a source of information and explore new opportunities in biomolecular and clinical outcome data analysis tools.
You are responsible for
Carrying out industrial research, enlarging relevant knowledge and bringing-in new knowledge in the area of computational biology, with a focus on analyses of clinical outcome data
Transforming knowledge to operational use within the team working on developing novel molecular tests
A methodological way of working, where milestones are defined in a clear project frame work, aligned with customer agreement
You are a part of
The Precision and Decentralized Diagnostics (P&DDx) department of Philips Research is working on innovative solutions to improve peoples lives by developing end-to-end validated precision diagnostics for relevant clinical questions, empowering health professionals to use these in routine clinical decision making. We are specialized in generating and understanding complex feature-rich data in different specialisms such as imaging, pathology and genomics. We develop novel biological and mathemathical models and algorithms making use of data. And, we interprete data in a patient-specific biological context based on deep clinical and biological insights.
The areas in which we innovate are in the healthspace of Oncology and Cardiology. Projects executed in this department are mainly targeting attractive healthcare applications in cancer diagnosis, cardiovascular diseases and digital pathology. We innovate in close collaboration with several business partners amongst others in the business unit Emerging Business Areas and with ventures in HealthWorks.
To succeed in this role, you should have the following skills and experience
A MSc degree in biomedical engineering, computational biology, systems biology, biomedical informatics, bioinformatics or similar studies or studies such as applied mathematics, statistics, physics with a proven record of working with biological and clinical data
A strong background in processing, analyzing and interpreting (molecular) biology and/or clinical outcome data
A strong background in modeling of biological systems
A strong familiarity with tools such as R and/or MATLAB
Both practical hands-on clinical and biomolecular data analysis experience and a sound mathematical education level
Ability to combine biology and mathematics/statistics in developing new approaches and connect multiple disciplines
Proficient in writing and communication
A team-player mentality
In return, we offer you
A career path where you have the unique opportunity to create and deliver meaningful, cutting edge solutions that lead to confident diagnosis, improved care and increased quality of life for patients. 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.
Why should you join Philips?
Working at Philips is more than a job. Its a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum . Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways.
To find out more about what its like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog . Once there, you can also learn about our recruitment process , or find answers to some of the frequently asked questions .
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