Biomedical Research Engineer

• Contributing to the research and development of biomedical algorithms
• Supporting exploration of novel digital signal processing (DSP) and machine learning (ML/AI) techniques for physiological sensing
• Analysing sensor data to generate insights that inform product design
• Documenting, testing, and preparing algorithms for integration into software systems
• Collaborating with a cross-functional team (software, systems, V&V, medical affairs, product management) to build and refine solutions
• Participating in technical discussions with internal stakeholders and external partners
• Communicating results, limitations, and risks clearly and constructively
• Supporting the ideation of new technology and IP generation
• Assisting in defining scope, requirements, and test plans for technical workstreams
• Providing input to verification/validation efforts, especially involving data analysis and algorithm performance

• Masters/PhD in Electronic/Biomedical Engineering, Applied Mathematics, Computer Science or cognate field is preferred
• 2 - 5 years’ experience in algorithm development
• Experience in delivering algorithms to target products – preferably development of bio-medical algorithms for monitoring of physiological parameters for medical and/or consumer applications (such as biometrics, wearables, non-contact sensing)
• Deep knowledge of DSP, maths, statistics and machine learning
• Previous experience with Matlab/Python scientific stack (eg. numpy, scikit learn) and deep learning frameworks (e.g., TensorFlow), preferably in the following areas: time series biomedical signals, time-frequency analysis, feature engineering and classifiers
• Demonstrate contribution to research, e.g., publications of research in peer-reviewed journals
• Experience with version control tools and processes (e.g. Git, SVN, JIRA)
• Experience working with business stakeholders, product development teams and/or with other developers
• Experience in contributing to an IP portfolio, e.g., writing supporting documentation for patent applications

Experience in analysis various sensing modalities (e.g. PPG, ECG, EEG, acoustics) would be beneficial

• Bonus plan
• Working from home flexibility
• Referral bonus
• Preferred shareholding programme
• Competitive benefits (Pension, Long-Term Illness Protection, Health Insurance...)
• Internal career opportunity