Digital Biomarker Biomedical Engineer

AVENGA (Agencja Pracy, nr KRAZ: 8448) is hiring for a remote position focused on digital biomarker algorithm validation and signal processing analysis within biomedical engineering.

• 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.

• 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.