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EU.com is an online platform that offers an array of services to help entrepreneurs and small business owners grow their businesses. It provides a wide range of resources, including online courses, business strategy advice, marketing and finance tips, and more. EU.com also offers a marketplace where entrepreneurs can find products, services, and tools to help them succeed. It's a great resource for entrepreneurs looking to start or expand their businesses, as it provides them with all the necessary information and resources.
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EncryptedSite is Encrypted
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CountryHosted in United States
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CitySan Jose, California
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Latitude\Longitude37.1807 / -121.787 Google Map
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Traffic rank#1,985 Site Rank
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Site age29 yrs old
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Site Owner informationWhois info
Website is Safe
Site is not blacklisted
Traffic rank
#1,985
#1,985
Site age
29 yrs
29 yrs
Location
United States
United States
Popular Questions for eu
Newest job postings for eu
via LinkedIn
posted_at: 2 days agoschedule_type: Full-time
Quality Technician - Batteries / Li-ion / Lithium Ion / Quality Assurance / Product Validation / Process Validation / Battery
By offering a simpler, more dependable, and safer manufacturing method, my client is rethinking the production of lithium-ion cells. This will speed up production while lowering the cost of current and next-generation cell technology...
Responsibilities:
• Establish, carry out, and develop campaign validation. Audit the
Quality Technician - Batteries / Li-ion / Lithium Ion / Quality Assurance / Product Validation / Process Validation / Battery
By offering a simpler, more dependable, and safer manufacturing method, my client is rethinking the production of lithium-ion cells. This will speed up production while lowering the cost of current and next-generation cell technology...
Responsibilities:
• Establish, carry out, and develop campaign validation. Audit the production line to ensure proper configuration.
• Identify technical escalation risks and oversee root cause investigations for important production issues.
• Define, carry out, and supervise actions for verification and validation linked to line changes
Qualifications
• Minimum Bachelor’s Degree in technical field Chemistry, Material Science, Mechanical Engineering or related field preferred.
• 2-4 years of experience in Quality Engineering in a manufacturing environment
• Battery industry experience a plus but is not required
If you are looking for an opportunity to work with a company who have made market-changing improvements to the battery industry please apply or send your CV to ww@eu-recruit.com
#Battery #Batteries #Liion #LithiumIon #QualityAssurance #QualityEngineering #ProductValidation #ProcessValidation #Safety #Manufacturing
By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice Show more details...
By offering a simpler, more dependable, and safer manufacturing method, my client is rethinking the production of lithium-ion cells. This will speed up production while lowering the cost of current and next-generation cell technology...
Responsibilities:
• Establish, carry out, and develop campaign validation. Audit the production line to ensure proper configuration.
• Identify technical escalation risks and oversee root cause investigations for important production issues.
• Define, carry out, and supervise actions for verification and validation linked to line changes
Qualifications
• Minimum Bachelor’s Degree in technical field Chemistry, Material Science, Mechanical Engineering or related field preferred.
• 2-4 years of experience in Quality Engineering in a manufacturing environment
• Battery industry experience a plus but is not required
If you are looking for an opportunity to work with a company who have made market-changing improvements to the battery industry please apply or send your CV to ww@eu-recruit.com
#Battery #Batteries #Liion #LithiumIon #QualityAssurance #QualityEngineering #ProductValidation #ProcessValidation #Safety #Manufacturing
By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice Show more details...
via LinkedIn
posted_at: 2 days agoschedule_type: Full-time
Senior Process Engineer – Mid End
The platform and manufacturing method for lithium-ion cells are being revolutionized by my client to address the major issues for a better energy future. They offer a simpler, more dependable, safer manufacturing method that speeds up production while cutting the prices of current and next-generation cell technology...
Responsibilities:
• Develop novel manufacturing processes that contribute to the establishment
Senior Process Engineer – Mid End
The platform and manufacturing method for lithium-ion cells are being revolutionized by my client to address the major issues for a better energy future. They offer a simpler, more dependable, safer manufacturing method that speeds up production while cutting the prices of current and next-generation cell technology...
Responsibilities:
• Develop novel manufacturing processes that contribute to the establishment of our high-volume production system.
• Characterize and develop a deep understanding of critical material performance in the processes through experimentation and analysis.
• Perform equipment and process capability studies and make improvements based on those data-driven results.
Required Skills and Experience:
• Knowledge of coating technologies.
• Knowledge of various laminating technologies, including, heat sealing, adhesive sealing, etc.
• Experience with slitting, die cutting, roll-to-roll processes, intermittent motion processes, and vacuum lamination.
• Experience with in-line continuous vision system inspection systems.
• At least 4-6 years of experience in a wide range of manufacturing processes.
Key Words: Process Engineer / Die Cutting / Laminating / Heat Sealing / Adhesive Sealing / Slitting / Vacuum Lamination
You will need to be based in the USA to be considered for this position, have US citizenship, green card holder, or H1B transfer.
I can also be contacted at ww@eu-recruit.com, to provide full details, arrange an application, or answer any questions you might have.
#ProcessEngineer #DieCutting #VacuumLamination #HeatSealing #AdhesiveSealing #Lamination #Slitting
By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice Show more details...
The platform and manufacturing method for lithium-ion cells are being revolutionized by my client to address the major issues for a better energy future. They offer a simpler, more dependable, safer manufacturing method that speeds up production while cutting the prices of current and next-generation cell technology...
Responsibilities:
• Develop novel manufacturing processes that contribute to the establishment of our high-volume production system.
• Characterize and develop a deep understanding of critical material performance in the processes through experimentation and analysis.
• Perform equipment and process capability studies and make improvements based on those data-driven results.
Required Skills and Experience:
• Knowledge of coating technologies.
• Knowledge of various laminating technologies, including, heat sealing, adhesive sealing, etc.
• Experience with slitting, die cutting, roll-to-roll processes, intermittent motion processes, and vacuum lamination.
• Experience with in-line continuous vision system inspection systems.
• At least 4-6 years of experience in a wide range of manufacturing processes.
Key Words: Process Engineer / Die Cutting / Laminating / Heat Sealing / Adhesive Sealing / Slitting / Vacuum Lamination
You will need to be based in the USA to be considered for this position, have US citizenship, green card holder, or H1B transfer.
I can also be contacted at ww@eu-recruit.com, to provide full details, arrange an application, or answer any questions you might have.
#ProcessEngineer #DieCutting #VacuumLamination #HeatSealing #AdhesiveSealing #Lamination #Slitting
By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice Show more details...
via LinkedIn
posted_at: 8 days agoschedule_type: Full-time
Make a greater impact on lives through a digitally-enabled enterprise
We are working towards our aspiration of shaping the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new approaches that put Digital at AstraZeneca’s heart...
Be part of a chapter that’s still being written. Trusted and empowered to change the way things are done, with the tools and support
Make a greater impact on lives through a digitally-enabled enterprise
We are working towards our aspiration of shaping the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new approaches that put Digital at AstraZeneca’s heart...
Be part of a chapter that’s still being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation.
Office Locations: This is an on-site - office-based, global role. Please consider the following AZ HUB locations – Cambridge, UK - Madrid, Spain – Gothenburg, Sweden – Milan, Italy – Hamburg, DE.
Role and Responsibilities:
The Director, of Commercial Data Sciences & AI - European Union is a key leader in the Commercial Data Science & AI team whose mission is to take a patient-centric, data-driven approach to personalize and transform healthcare delivery to the millions of patients along with a multi-disciplinary team of physicians who care for them. This responsibility involves working closely with cross-functional Science, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platform & Products across AZ Oncology and Bio-pharma Business
The scope of this role is Global with a focus on EU markets where AstraZeneca’s life-changing medicines are approved to help patients live longer and realize AZ’s bold ambition of eliminating Cancer as a cause of death.
YOUR MAIN ACCOUNTABILITIES AND TASKS:
• Collaborate across the AstraZeneca Data and AI community to develop best practices and cross-functional opportunities that drive value
• Oversight of partnerships with multiple third parties, academic or outsourced partners to shape and drive project outcomes and knowledge building
• Own and lead Data Science & AI products per Cancer tumor type and /or Biopharma disease area. Product features include
• Development of ML Models & Classifiers for a deeper understanding of the patient journey
• Development of Predictive ML models around patient disease progression, Adverse events, and other outcomes
• Own and lead the development of ML models using unstructured notes, Scientific, Clinical documents, and Research publications
• Own and lead the development of Personalized ML models around the dissemination of Scientific, Medical content and messages across Physical & Digital Channels in a coordinated manner for the best patient outcomes
• These products include the application of specialized approaches in classification, regression, clustering, NLP, image analysis, deep learning, knowledge graphs, and/or other advanced techniques.
• Using domain-specific understanding, translate unstructured, complex business problems into the appropriate data problem, models, and analytical solutions across multiple disease areas
• Develop effective relationships with EU commercial and medical leaders to ensure the utilization and value of information resources
• Responsible for Evangelizing & Applying advanced data science capabilities across multiple cross-business teams, including Sales, Marketing, Medical, and Market Access that drive value to AstraZeneca Commercial Business
• Lead and apply ongoing knowledge and awareness in trends, standard methodology, and new developments in data science to influence functional practices.
Your Education & Experience
Minimum Qualifications:
• Bachelor’s Degree plus 5-7 years of progressive professional work experience in mathematics, computer science, engineering, physics, statistics, economics, computational sciences, or a quantitative discipline. * 7+ years of qualified professional experience can be substituted for Bachelor’s degree
• Documented track record of Developing Data Science and AI products that have generated business value, and impact across multiple Industries
• In-depth experience with modern data science approaches, including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks, and deep learning. May also have expertise in advanced statistical modeling or broader aspects of applied mathematics such as dynamic systems or optimization
• Experience in the modeling of complex datasets in applied business and/or scientific application domains
• Advanced software development skills in at least two of the standard data science languages (such as R, Julia, or Python) and familiarity with database systems (e.g. SQL, NoSQL, graph)
• In-depth experience in manipulating and analyzing large high dimensionality unstructured datasets, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• Understanding of algorithm design, development, optimization, scaling, and applications
• Excellent written and verbal communication, business analysis, and consultancy skills with stakeholders and colleagues
Preferred Qualifications:
• Advanced degree plus 3 - 5 years of progressive professional work experience in mathematics, computer science, engineering, physics, statistics, economics, or a quantitative discipline.
• Previous work experience in high-performance computing or cloud environment
• Documented track record of publishing relevant predictive modeling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.
• Prior experience in understanding biomedical data sets and real-world data sets relevant to life sciences and healthcare
• Knowledge of novel methods of development and application
• Familiarity with navigating a complex global organization
• Prior people management experience in recruiting, leading, and mentoring Data Science and Machine learning Engineers
• Track record of success in influencing and controlling budgets
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience -- it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity.
Where can I find out more?
• Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
• Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
• Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en Show more details...
We are working towards our aspiration of shaping the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new approaches that put Digital at AstraZeneca’s heart...
Be part of a chapter that’s still being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation.
Office Locations: This is an on-site - office-based, global role. Please consider the following AZ HUB locations – Cambridge, UK - Madrid, Spain – Gothenburg, Sweden – Milan, Italy – Hamburg, DE.
Role and Responsibilities:
The Director, of Commercial Data Sciences & AI - European Union is a key leader in the Commercial Data Science & AI team whose mission is to take a patient-centric, data-driven approach to personalize and transform healthcare delivery to the millions of patients along with a multi-disciplinary team of physicians who care for them. This responsibility involves working closely with cross-functional Science, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platform & Products across AZ Oncology and Bio-pharma Business
The scope of this role is Global with a focus on EU markets where AstraZeneca’s life-changing medicines are approved to help patients live longer and realize AZ’s bold ambition of eliminating Cancer as a cause of death.
YOUR MAIN ACCOUNTABILITIES AND TASKS:
• Collaborate across the AstraZeneca Data and AI community to develop best practices and cross-functional opportunities that drive value
• Oversight of partnerships with multiple third parties, academic or outsourced partners to shape and drive project outcomes and knowledge building
• Own and lead Data Science & AI products per Cancer tumor type and /or Biopharma disease area. Product features include
• Development of ML Models & Classifiers for a deeper understanding of the patient journey
• Development of Predictive ML models around patient disease progression, Adverse events, and other outcomes
• Own and lead the development of ML models using unstructured notes, Scientific, Clinical documents, and Research publications
• Own and lead the development of Personalized ML models around the dissemination of Scientific, Medical content and messages across Physical & Digital Channels in a coordinated manner for the best patient outcomes
• These products include the application of specialized approaches in classification, regression, clustering, NLP, image analysis, deep learning, knowledge graphs, and/or other advanced techniques.
• Using domain-specific understanding, translate unstructured, complex business problems into the appropriate data problem, models, and analytical solutions across multiple disease areas
• Develop effective relationships with EU commercial and medical leaders to ensure the utilization and value of information resources
• Responsible for Evangelizing & Applying advanced data science capabilities across multiple cross-business teams, including Sales, Marketing, Medical, and Market Access that drive value to AstraZeneca Commercial Business
• Lead and apply ongoing knowledge and awareness in trends, standard methodology, and new developments in data science to influence functional practices.
Your Education & Experience
Minimum Qualifications:
• Bachelor’s Degree plus 5-7 years of progressive professional work experience in mathematics, computer science, engineering, physics, statistics, economics, computational sciences, or a quantitative discipline. * 7+ years of qualified professional experience can be substituted for Bachelor’s degree
• Documented track record of Developing Data Science and AI products that have generated business value, and impact across multiple Industries
• In-depth experience with modern data science approaches, including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks, and deep learning. May also have expertise in advanced statistical modeling or broader aspects of applied mathematics such as dynamic systems or optimization
• Experience in the modeling of complex datasets in applied business and/or scientific application domains
• Advanced software development skills in at least two of the standard data science languages (such as R, Julia, or Python) and familiarity with database systems (e.g. SQL, NoSQL, graph)
• In-depth experience in manipulating and analyzing large high dimensionality unstructured datasets, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• Understanding of algorithm design, development, optimization, scaling, and applications
• Excellent written and verbal communication, business analysis, and consultancy skills with stakeholders and colleagues
Preferred Qualifications:
• Advanced degree plus 3 - 5 years of progressive professional work experience in mathematics, computer science, engineering, physics, statistics, economics, or a quantitative discipline.
• Previous work experience in high-performance computing or cloud environment
• Documented track record of publishing relevant predictive modeling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.
• Prior experience in understanding biomedical data sets and real-world data sets relevant to life sciences and healthcare
• Knowledge of novel methods of development and application
• Familiarity with navigating a complex global organization
• Prior people management experience in recruiting, leading, and mentoring Data Science and Machine learning Engineers
• Track record of success in influencing and controlling budgets
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience -- it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity.
Where can I find out more?
• Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
• Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
• Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en Show more details...
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