Overview
On Site
Full Time
Skills
Attention To Detail
Decision-making
Onboarding
Data Collection
Extraction
Database
Flat File
Data Visualization
Microsoft Power BI
Tableau
TIBCO Spotfire
Dashboard
Collaboration
Presentations
Reporting
Documentation
Data Analysis
Workflow
Data Processing
Communication
Management
Data Science
Programming Languages
Python
R
Medical Devices
Process Control
Data Modeling
Job Details
Onsite
We are seeking an enthusiastic and detail-oriented Engineer to join the Combination Product Operations Digital and Data Strategy team. The ideal candidate will design, implement, and optimize digital workflows, ultimately improving efficiency, reducing operational costs, and enhancing the overall performance of the organization. Additionally, the individual will play a key role in creating and delivering insightful reports to inform decision-making. The Engineer will work within a cross-functional organization to ensure successful and efficient onboarding and adoption of Digital capabilities for various Client business groups.
Key Responsibilities:
Data Collection and Extraction:
Retrieve and preprocess data from various sources, such as databases, APIs, and flat files.
Initiating and supporting the digitalization of experimental workflows.
Identify areas for improvement, enhance efficiency, and reduce errors in streamlining data capture to reporting.
Data Visualization:
Create informative data visualizations using tools like PowerBI, Tableau, and Spotfire.
Communicate findings to technical and non-technical stakeholders through charts, graphs, and dashboards.
Collaboration and Reporting:
Collaborate with cross-functional teams to understand their data requirements and provide data-driven solutions.
Generate regular reports and presentations to communicate insights and recommendations.
Perform report validations
Perform system installation qualification and operational qualifications
Create documentation to support digital processes, systems, or stakeholder needs.
Basic Qualifications:
Bachelor's degree in Engineering plus 2 years of engineering or data analysis experience
Or
Master's degree in Engineering
Requirements and Skills:
Experience performing data analysis.
Interest in working with large quantities of data to enable general workflows such as data processing, cleaning, and labeling.
Strong communication skills and ability to demonstrate and relay technical concepts to different audiences.
Ability to manage multiple, competing priorities simultaneously.
Ability to deliver work in a fast-paced, multi-project team-oriented environment.
Ability to work in highly collaborative, cross-functional environments.
Preferred Qualifications:
Experience with data science libraries.
Experience in programming languages, such as Python or R.
Experience with combination products, device regulatory requirements, medical device development and engineering, and process controls.
Provide Digital and Data expertise for the different product teams to ensure consistent data model and FAIR (Findable, Accessible, Interoperable & Reusable) data design across the various capabilities implemented.
Identify improvements required to data and attribute models and drive engagement with internal and external stakeholders (incl. software vendor) to obtain enhancements.
We are seeking an enthusiastic and detail-oriented Engineer to join the Combination Product Operations Digital and Data Strategy team. The ideal candidate will design, implement, and optimize digital workflows, ultimately improving efficiency, reducing operational costs, and enhancing the overall performance of the organization. Additionally, the individual will play a key role in creating and delivering insightful reports to inform decision-making. The Engineer will work within a cross-functional organization to ensure successful and efficient onboarding and adoption of Digital capabilities for various Client business groups.
Key Responsibilities:
Data Collection and Extraction:
Retrieve and preprocess data from various sources, such as databases, APIs, and flat files.
Initiating and supporting the digitalization of experimental workflows.
Identify areas for improvement, enhance efficiency, and reduce errors in streamlining data capture to reporting.
Data Visualization:
Create informative data visualizations using tools like PowerBI, Tableau, and Spotfire.
Communicate findings to technical and non-technical stakeholders through charts, graphs, and dashboards.
Collaboration and Reporting:
Collaborate with cross-functional teams to understand their data requirements and provide data-driven solutions.
Generate regular reports and presentations to communicate insights and recommendations.
Perform report validations
Perform system installation qualification and operational qualifications
Create documentation to support digital processes, systems, or stakeholder needs.
Basic Qualifications:
Bachelor's degree in Engineering plus 2 years of engineering or data analysis experience
Or
Master's degree in Engineering
Requirements and Skills:
Experience performing data analysis.
Interest in working with large quantities of data to enable general workflows such as data processing, cleaning, and labeling.
Strong communication skills and ability to demonstrate and relay technical concepts to different audiences.
Ability to manage multiple, competing priorities simultaneously.
Ability to deliver work in a fast-paced, multi-project team-oriented environment.
Ability to work in highly collaborative, cross-functional environments.
Preferred Qualifications:
Experience with data science libraries.
Experience in programming languages, such as Python or R.
Experience with combination products, device regulatory requirements, medical device development and engineering, and process controls.
Provide Digital and Data expertise for the different product teams to ensure consistent data model and FAIR (Findable, Accessible, Interoperable & Reusable) data design across the various capabilities implemented.
Identify improvements required to data and attribute models and drive engagement with internal and external stakeholders (incl. software vendor) to obtain enhancements.
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