Orion Group Life Sciences have an exciting opportunity for a Data Engineer/Scientist for our Multinational Medical Devices client based in the Cork area on an initial 12-month contract.
Job Purpose
The Data Engineer / Scientist will be responsible for manufacturing data development and management on several projects related to process digitalisation, automation and artificial intelligence. This will require technical knowledge in the areas of industrial sensors, sensor integration in manufacturing equipment, and machine learning / data analytics; in-depth knowledge of manufacturing design protocols a plus.
Main Responsibilities of the role
- Capturing/Creating: System Requirements
- Collaborating to define: Functional and design specifications
- Technical Milestones/Areas of expertise to be developed
-Choice of Critical Components, Physical Quantities to observe and sensors to install
-Data Acquisition, Data Manipulation
-Condition Monitoring & Health Assessment, Prognosis
-Decision Support, Algorithm development (data/mining/analytics/machine learning)
-Presentation (Alerting/Action Tracking/ Reporting)
- Knowledge Transfer and Project management
- Reporting/publishing research/ aligning with output requirements of the funding
- Building a working demonstrator for industrial use
- To contribute to the presentation of project reports
- To provide guidance to other staff in own specialist area
- To take part in knowledge-transfer activities, including collaborative meetings with other research groups
- To maintain knowledge and understanding within the field/specialty, transforming and applying knowledge acquired from project to research
- Work with all relevant project teams to deliver project on time and on budget with the required quality level
- Ensure compliance with company's procedures, cGMP, recognized quality standards and regulatory expectation
- To develop sensing and advanced analytics solutions for the client
- Responsible for full system lifecycle, including requirements, design, development, testing and reporting
- To carry out the data analytics activities assigned to research projects
- Choice of Critical Component
-Business modelling (capture impact of maintenance improvement)
-Data Auditing (of current available Data), Capturing experienced feedback
-(FMECA)Failure Mode, Effects and Critically Analysis
-(HAZOP) HAZard and OPerablity study, (PHA) Process Hazard Analysis
-Cause and Effect Tree, Event Tree, Fault Tree
- Design of Experiment (DoE): To capture physics of fault modes and for health monitoring (e.g. thermal, electrical, mechanical, chemical, humidity, biological, optical, magnetic etc.)
- Obtain (Hardware) System, set up DAQ, and plan to mount sensors
- Set up data initial capture experiment, with data check (e.g. sensor calibration, Data Acquisition, Pre-processing, and storage mechanisms)
- Digital Signal Processing (DSP)
- Condition Monitoring & Health Assessment, Feature Extraction, Feature selection and reduction
- Typically Kernel Principle Component Analysis (PCA) or ISOMAP
- Construction of health indicators, General Data Based Modelling, Machine Learning
- Deep learning, including Convolutional Neural Networks, generative adversarial networks
- Bayesian Networks, Markov modes etc.
- Stochastic, State space and filtering models
- Kalman, Particle filters
- Regression tools
- Data Visualising (Plotting RUL: Remaining Useful Life)
- Presentation (Alerting/Action Tracking/ Reporting)
Desired Experience and Background of the successful candidate
- BSc in Computer Engineering, Computer Science, Electrical Engineering, or Mathematics
- 2 years' experience working in manufacturing industry
- 1-year experience in a research environment
- Knowledge of advanced analytics and predictive maintenance
- Strong grasp of algorithms and data structures
- Experience with extracting, cleansing, analysing and presenting data
- Experience with implementing cloud-based distributed systems and microservices
- Have an in depth understanding of machine learning, data mining, multivariate statistical analysis, mathematical modelling and operation research
- Experience with Python
- Desirable: PhD or Research Masters in an engineering/science discipline
- Experience in participating in European funded projects
- Process Excellence - Six Sigma
- Experience with TensorFlow, Keras, PyTorch, OpenCV, MS Azure
- Microsoft SQL server
- Extensive MS Office suite experience
- Microsoft Visual Basic
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For more information on this role, call Dan Ryan on (phone number removed) or email (url removed) for a completely confidential chat about this role and other opportunities using the reference number: (phone number removed)
Our role in supporting diversity and inclusion
As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.