Senior Patient Monitoring Algorithm Specialist

Job Title: Senior Patient Monitoring Algorithm Specialist

Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

Level: Senior

About the Role

We are seeking an experienced Senior Patient Monitoring Algorithm Specialist to support the design, evaluation, validation, and continuous improvement of algorithms used in patient monitoring technologies. The role focuses on analyzing physiological signal data, assessing algorithm performance, reviewing detection accuracy, and developing evidence-based recommendations to improve the reliability of monitoring systems.

The successful candidate will collaborate with biomedical engineers, software developers, clinical specialists, data scientists, and medical device quality teams. This is a fully remote technical and analytical role. Physical device testing, patient assessments, clinical monitoring, and clinical decision-making must remain with qualified local personnel and licensed healthcare professionals.

Key Responsibilities

• Evaluate algorithms used in patient monitoring systems, including heart rate, respiratory rate, oxygen saturation, blood pressure, and ECG analysis.
• Analyze physiological signal datasets to assess algorithm accuracy, reliability, and consistency.
• Review signal-processing methods for noise reduction, artifact detection, filtering, and signal quality assessment.
• Assess algorithm sensitivity, specificity, precision, recall, false alarm rates, and detection performance.
• Review arrhythmia detection, alarm generation, trend analysis, and abnormal physiological event identification logic.
• Evaluate algorithm performance across different patient populations, signal conditions, and monitoring environments.
• Support the development and refinement of mathematical models and computational methods for physiological data interpretation.
• Analyze false-positive and false-negative events and recommend improvements to detection logic.
• Review annotated datasets, reference labels, and ground-truth documentation used in algorithm development and validation.
• Design and review offline testing protocols, performance benchmarks, and validation datasets.
• Assess algorithm robustness against motion artifacts, signal interruptions, sensor variability, and incomplete data.
• Collaborate with software and machine learning teams to improve model performance and computational efficiency.
• Review algorithm version histories, change documentation, and regression testing results.
• Support risk analysis relating to missed detections, delayed alerts, inappropriate alarms, and algorithm limitations.
• Prepare technical validation reports, performance summaries, and algorithm improvement recommendations.
• Contribute to technical documentation, design verification records, and medical device quality documentation.
• Monitor relevant developments in physiological monitoring, signal processing, machine learning, and medical device standards.
• Coordinate virtual technical reviews with clinical engineering, product development, quality assurance, and regulatory teams.

Qualifications and Experience

• Bachelor's or master's degree in Biomedical Engineering, Electrical Engineering, Computer Science, Biomedical Informatics, Data Science, or a related discipline.
• Significant experience in patient monitoring technologies, physiological signal processing, medical device algorithms, or biomedical data analytics.
• Strong understanding of ECG, heart rate, respiratory, oxygen saturation, and other physiological monitoring signals.
• Experience evaluating algorithm performance using sensitivity, specificity, precision, recall, error rates, and other validation metrics.
• Knowledge of digital signal processing, statistical analysis, and time-series data evaluation.
• Familiarity with machine learning methods and their application to physiological signal classification or event detection.
• Experience reviewing annotated datasets, reference standards, and algorithm validation protocols.
• Understanding of alarm management, signal artifacts, data quality, and patient monitoring system limitations.
• Familiarity with medical device software lifecycle, risk management, and relevant quality and safety standards.
• Ability to interpret technical specifications, validation results, software test reports, and clinical performance evidence.
• Proficiency in Python, MATLAB, R, or comparable tools for signal analysis and algorithm evaluation.
• Strong analytical, technical writing, and problem-solving skills.
• Excellent communication and cross-functional collaboration abilities.
• Ability to manage complex technical assignments independently in a fully remote environment.

What We Offer

• Fully remote working arrangement within the UAE employment context.
• Opportunity to contribute to the development and evaluation of healthcare monitoring technologies.
• Collaboration with multidisciplinary engineering, software, data science, and clinical teams.
• Professional development in biomedical signal processing, algorithm validation, and medical device quality.
• A technically challenging environment focused on reliability, patient safety, and continuous improvement.

How to Apply

Interested candidates should submit an updated CV highlighting relevant experience in patient monitoring systems, physiological signal processing, algorithm development, data analysis, and medical device validation.

Application Subject: Application – Senior Patient Monitoring Algorithm Specialist (UAE Remote)

Candidates should confirm applicable employment arrangements, residency requirements, and work authorization before accepting an offer.

• Role Scope and Authorization: This is a remote algorithm analysis, technical review, and validation-support position. Physical sensor installation, device operation, patient assessments, clinical testing, and on-site equipment verification must be performed by qualified local personnel. Clinical interpretation of patient data, diagnosis, treatment decisions, alarm-response decisions, and patient-care interventions must be undertaken by licensed healthcare professionals. The specialist must not independently diagnose patients or make clinical decisions based solely on algorithm outputs. Formal medical device conformity assessments, regulatory submissions, clinical performance claims, product release approvals, and statutory sign-offs must be completed by appropriately authorized professionals.