Technical System Health Data Scientist

Job Title
Technical System Health Data Scientist

Job Description

Technical System Health Data Scientist

You will be responsible for working with technical experts and customers to develop advanced reports on patient monitoring system usage and system health. These reports will help customers and Philips understand usage, prevent downtime and achieve performance SLAs in areas never measured previously. You will work with technical and clinical experts in order to understand and identify data signatures and sources needed for algorithm development and performance reporting and you will participate in various activities focused development, and evaluation of first-of-kind and prototypes for IT customers and other relevant partners.

• Measures how customers are using Philips technology through advanced data analytics on usage, adoption of workflows and achievement of outcomes:
  • Defining data flows and schema
  • Defining technical analytics
  • Writing scripts and queries
  • Creating compelling, dynamic data visualizations
• Collaborates with customers and Philips experts on advancing our digital understanding of customer usage and system health of patient monitoring solutions.
• Reports on internal performance measures, including asset utilization, service and equipment costs, as well as volume and revenue to plan that are critical to profitability:
  • Identify data sources, interfaces and analytics
  • Define inventory tracking methodology & market inventory management analytics
  • Identify data sources, interfaces and analytics
  • Publish customer scorecard internally
• Develops new concepts, builds proof-of-concept demonstrators and validate results with customer and field teams.
• Interacts with business partners and customers to understand their problems, share insights and validated practices.
• Identifies gaps and data needs that limit successful measurements of the designed experience.
• Collaborate with other solution and functional teams (e.g., commercial operations, professional services, clinical education, financial administration) to find practical and ambitious solutions to these gaps and aspirations.
• Identify critical success metrics with which to gauge the relative performance and progress of our managed service customers over time.

• You've acquired 7+ years of experience in programming, data visualization, and healthcare informatics experience as well as knowledge of physiologic monitoring systems .
• Your skills include proficiency with R and/or Python libraries commonly used in data science, Python programming experience, knowledge and understanding of hospital data flows such as CPOE, EMR, RIS, LIS and PACS and related data format standards (e.g., HL7, DICOM, FHIR and IHE), healthcare terms and classifications (SNOMED CT, ICD10), Azure or AWS DevOps, GIT, PowerBI, Power Query M, Visual Basic for Applications, and a high affinity with applying new IT platforms/dash boarding software tools for reporting and experience.
• You have a Master's in Computer Sciences, Biomedical Engineering, Bioinformatics, or a related field preferred OR 10 years of related work experience.
• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position .
• You also have the ability to work with cross-functional teams, are self-motivated, committing to results, are flexible and a quick-learner. You must have excellent verbal and written communication, the ability to manage complex projects and demonstrated operational analytics/financial analysis capabilities.

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