We are a medical technology company supporting hospitals across Northern Europe with advanced clinical and technical solutionsincluding medical device services clinical training and large-scale patient monitoring programs. As we expand our analytics capabilities we are seeking a Data Scientist to help transform complex technical and clinical datasets into meaningful insights.
In this role you will collaborate with multidisciplinary teams to support clinical workflow optimization operational improvements technical investigations and evidence generation for research initiatives with hospital partners. This is an excellent opportunity for someone who is passionate about healthcare data and eager to grow into a specialist in medical data analytics.
Data Analysis & Modeling
Collect clean and analyze large datasets from patient monitoring and medical device systems.
Build and validate statistical models to detect trends anomalies and improvement opportunities.
Develop dashboards reports and visualizations to clearly communicate insights to internal teams and hospital stakeholders.
Operational & Clinical Support
Analyze device usage workflow patterns and performance metrics to identify opportunities for operational optimization.
Support investigations related to technical issues protocol adherence or system adoption.
Quantify the impact of new operational initiatives training programs or technology deployments.
Research & Evidence Generation
Contribute to collaborative research projects through data extraction exploratory analysis and preparation of figures/tables.
Assist in preparing datasets and results for publications white papers and conference materials.
Ensure data quality and compliance with regulatory standards such as GDPR MDR and ISO 27001.
Cross-functional Collaboration
Work closely with engineering medical affairs data engineering and customer-facing teams.
Participate in discussions with hospital partners to understand their data needs and share analytical findings.
Contribute to the development of internal analytics tools frameworks and best practices.
Bachelors or Masters degree in Data Science Computer Science Statistics Biomedical Engineering Applied Mathematics Health Informatics or related discipline.
Proficiency in Python or R for data analysis.
Experience with SQL and relational databases.
Solid understanding of statistical methods data modeling and data visualization best practices.
Experience with tools such as Jupyter Pandas NumPy Scikit-learn or comparable.
Experience with BI tools (e.g. Tableau Power BI) is an advantage.
Familiarity with time-series analysis signal processing or device/sensor data.
Exposure to healthcare environments biomedical signals EHR data or medical devices.
Interest in machine learning predictive analytics or operations research.
Strong analytical and structured problem-solving skills.
Curiosity and eagerness to learn clinical and technical domain knowledge.
Ability to communicate findings clearly to both technical and non-technical audiences.
Collaborative mindset with a proactive team-oriented approach.
Fluency in a Nordic language (e.g. Swedish Norwegian Danish or Finnish) would be a strong asset for this role.
We believe that we are better together than apart. For our office-based teams this means working in-person at least 3 days per week.
We are a health technology company. We built our entire company around the belief that every human matters and we wont stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover our rich and exciting history.
Learn more about our purpose.
If youre interested in this role and have many but not all of the experiences needed we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
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