Digital Biomarker Biomedical Engineer

• Solid understanding of digital signal processing and time-series analysis.
• Proficiency in Python , including familiarity with libraries like SciPy, NumPy, or pandas.
• Experience with algorithm or software validation, including defining acceptance criteria and tolerance thresholds. Formal V&V experience is preferred, but equivalent structured testing experience is acceptable.
• Experience developing data comparison or reconciliation workflows using large tabular or CSV datasets.
• Demonstrated ability to produce clear technical documentation for diverse audiences.
• Able to communicate complex technical concepts to stakeholders outside your speciality.

We are looking for a Digital Biomarker Biomedical Engineer who will support algorithm validation activities, analyse signal-processing discrepancies, and help ensure system equivalency during platform and environment transitions.

,[Provide technical guidance on signal processing to migration, engineering, and clinical teams, ensuring a shared understanding of algorithm behaviour and expected output characteristics., Analyse datasets to identify deviations, edge cases, and anomalies, including those introduced by changes in compute environments or data pipelines. Apply appropriate statistical methods to assess whether discrepancies are meaningful., Deconstruct the logic of existing signal processing algorithms and produce clear, well-structured documentation to support computer system validation (CSV) efforts and enable knowledge transfer across teams., Contribute to the design of validation frameworks and test cases, including the definition of tolerance thresholds and acceptance criteria for comparing algorithm outputs across environments., Develop and execute CSV-based comparison workflows to verify the consistency of algorithmic output. Identify, classify, and quantify discrepancies, distinguishing between acceptable numerical precision variation and genuine regressions., Collaborate with data migration specialists and engineers to resolve data-integrity issues. Ensure that all deviations are properly quantified, documented, and traceable for review and sign-off.] Requirements: Digital signal processing, Time-series analysis, Python, SciPy, NumPy, pandas Tools: Agile. Additionally: Sport subscription, Private healthcare, Small teams, International projects.