Scientist - Hospital Patient Monitoring

Job Summary

Philips Hospital Patient Monitoring (HPM) develops solutions that help caregivers monitor patients reliably and continuously, enabling timely clinical decisions and safer care. At HPM Research, we conduct applied scientific research on smart monitoring and measurement solutions, driven by deep customer insights and unmet clinical needs. You will be part of the HPM Research team, working on innovative solutions to create and validate novel algorithms for next‑generation smart monitoring and measurements, turning physiological data into reliable metrics and algorithms that can be translated into meaningful monitoring features.

• Analyze physiological time‑series signals (filtering, artifact detection, signal quality, and feature extraction).
• Develop, implement, and test novel algorithms (from prototype to reusable code).
• Set up data‑collection studies and curate datasets for analysis.
• Define datasets and experiments: inclusion/exclusion criteria, labels/ground truth, and basic data preprocessing steps.
• Validate algorithm performance with agreed metrics (e.g., sensitivity/specificity, false alarm rate) and analyze failure modes and edge cases.
• Document methods and results (short reports/slides) and clearly state conclusions, assumptions, and limitations.
• Collaborate with scientists, engineers, and clinical stakeholders to translate findings into algorithms.

• Master or Ph.D. in Biomedical Engineering, Electrical Engineering, Applied Physics, Computer Science, or equivalent experience, with a biomedical/biophysical focus.
• Strong experience in physiological signal processing and analysis, including time‑series.
• Comfortable with data analysis, algorithm development, (bio) statistics, and applied machine learning.
• Strong coding skills in Python or MATLAB;
  Python is preferred.
• Interest in human physiology and the translation of physiological systems into measurable signals.
• Ability to translate questions into a clear analysis plan and validate results, including assumptions, limitations, and reproducibility.
• Excellent written and verbal communication skills, with concise summaries and presentations for engineers, clinicians, or product stakeholders.
• Enjoyment of collaborative, multidisciplinary teamwork and proactive feedback.
• End‑to‑end thinking from clinical need to research question to data collection, preprocessing, and analysis.
• Willingness to travel internationally on occasion.

• Fast learner, curious, and proactive in building new skills.
• Critical thinker who translates results into clear conclusions, including risks and limitations.
• Values scientific rigor, reproducibility, and transparent reporting.
• Provides decision‑ready recommendations, not just plots and metrics.
• Owns small work packages and seeks feedback early to iterate quickly.

• Prefers working only with fully curated datasets and uninterested in sensing, data collection, or validation strategy.
• Uncomfortable with scientific discussion, peer review, or challenging assumptions.
• Primary interest in a project management role rather than hands‑on scientific/technical work.

Philips believes that every human matters. As a global health‑tech leader, we provide equal employment and advancement opportunities to all qualified employees and applicants without regard to race, color, religion, sex, pregnancy/childbirth or related medical conditions, age, ethnic or national origin, sexual orientation, gender identity or expression, physical or mental disability, genetic information, citizenship status, veteran or military status, marital or domestic partner status or any other characteristic protected by law.

To ensure reasonable accommodations, applicants that require assistance may contact 888‑367‑7223, option 5.