Associate Principle Biomedical Engineer

About us

The Machine Learning team is responsible for delivering tangibly intelligent devices across all current, and future, product categories at Dyson.

Working alongside researchers, engineers, and designers, we blend cutting-edge machine learning and artificial intelligence techniques with an in-depth understanding of biomedical imaging, inventing novel solutions to 'impossible' problems.

Utilising the latest biomedical imaging systems and computational biology techniques to conduct rigorous qualitative and quantitative experiments and trials, you will play a pivotal role in a rapidly growing team to enable core functionality in products that most can’t even imagine.

About the role

• Lead the technical development of an exciting project, imaging biological mechanisms and biofilm growth and correlating these systems and their interactions to mathematical models

• Evaluate and benchmark state of the art imaging capabilities and machine learning methods for the capture and analysis of biomedical image data

• Acting as a subject matter expert lead the development of experimental protocol for imaging of biological samples

• Design and implement data collection and labelling strategy with a view to building core data-set for future analysis and machine learning applications

• Roadmap the technical strategy for generating new to the business capability from early stage scientific investigation to identifying commercial applications of novel biological imaging technologies

• Collaborate with academic and industrial partners to leverage externally available expertise

• Design and develop clean, documented, and easy to maintain code

• Produce reports and presentations summarising progress against team and project goals. Effectively and engagingly present complex technical information and analysis to senior management

• Generate novel intellectual property

About you

• Doctoral degree in Biomedical Imaging; Biomedical Physics, Imaging science ; or a closely aligned field, with industrial experience

• Expert in the application of algorithms for image segmentation and analysis on large biomedical data sets, particularly when operating on noisy or incomplete data

• Demonstratable experience of signal and image processing techniques would be desirable as would experience in the analysis of biochemical spectra (Optical microscope and other optical imaging modalities etc.)

• Prior experience with biological samples and designing clinical trials will be preferred

• Prior experience with Monte Carlo simulations for biological data generation will be useful

• Expert knowledge of the development and implementation of machine learning algorithms

• Experience in translating complex biological problems into machine learning and statistical problems, and computational models.

• Ability to produce robust proof-of-concept code in Python, and detailed knowledge of the associated data analysis, machine learning and deep learning packages (pandas, scikit-learn, tensorflow, keras, etc…)

• Enthusiasm to learn and share new methods and techniques with the rest of the team

• Demonstrated experience working within multidisciplinary teams, and the ability to work collaboratively with cross-functional, geographically dispersed teams

• Passionate about the technical and personal development of junior team members

Benefits 

Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

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Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.