Clinical Adoption Data Scientist
Cambridge - B3 Crossing
Philips
Sie sind Konsument oder Geschäftskunde und möchten sich über die Innovationen und Lösungen von Philips informieren? ➜ Wir freuen uns auf Sie!Job Title
Clinical Adoption Data ScientistJob Description
Clinical Adoption Data Scientist
You will be responsible for working with clinical and technical experts to develop advanced reports on patient monitoring system usage, adoption and clinical impact for customers. These reports will contribute to the performance dashboard helping customers and Philips understand usage, adoption and achievement of desired outcomes 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. You will participate in various activities around clinical decision support, operational workflow improvement, and other healthcare-related applications, focusing on research, development, and evaluation of first-of-kind and prototypes for clinicians and other relevant partners, which will help make better and informed decisions, improving patient care, optimizing clinical and operational outcomes in clinical workflows.
Your role:
- Measures how customers are using Philips technology through advanced data analytics on usage, adoption of workflows and achievement of outcomes by:
- Defining data flows and schema
- Defining clinical and 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 adoption 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, build 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.
- Identify 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're the right fit if:
- You’ve acquired 7+ programming, data visualization, and healthcare informatics experience as well as knowledge of physiologic monitoring systems.
- Your skills include database design, modeling and dynamic visualization, Proficiency with R and/or Python libraries commonly used in data science, Python programming experience, hospital data flows such as CPOE, EMR, RIS, LIS and PACS. Experience in related data format standards such as HL7, DICOM, FHIR and IHE, healthcare terms and classifications (SNOMED CT, ICD10); high affinity with applying new IT platforms/dash boarding software tools for reporting and experience.
- You have a Master’s Degree in Computer Sciences, Biomedical Engineering, Bioinformatics, or a related field OR 10 years of work experience, preferred.
- 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 need to have the ability to work with cross-functional teams, be self-motivated, committing to results and be flexible and quick-learning. You also should have excellent verbal and written communication skills, ability to manage complex projects along with demonstrated operational analytics and financial analysis capabilities.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
- Learn more about our business.
- Discover our rich and exciting history.
- Learn more about our purpose.
- Read more about our employee benefits.
If you’re 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 commitment to diversity and inclusion here.
Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to the locations listed.
#LI-PH1
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer/Disabled/Veteran and maintains a drug-free workplace.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Data Analytics Data visualization DICOM Engineering HL7 Python R Research SNOMED
Perks/benefits: Career development Flex hours Gear Health care Relocation support
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs