... informatics, polymer modeling, and applied AI in scientific research Essential Skills and ... Experience with DOE software, laboratory data management systems (LIMS), or scientific databases ...
... informatics, polymer modeling, and applied AI in scientific research Essential Skills and ... Experience with DOE software, laboratory data management systems (LIMS), or scientific databases ...
Remote Laboratory Informatics information
What is remote laboratory informatics?
Remote laboratory informatics refers to the use of digital systems and software to manage, analyze, and share laboratory data from any location. This field leverages cloud-based platforms, Laboratory Information Management Systems (LIMS), and other digital tools to enable scientists and lab personnel to access and process laboratory information remotely. It enhances collaboration, increases efficiency, and maintains data integrity without requiring users to be physically present in the laboratory. Remote laboratory informatics is crucial for supporting virtual teams, global research projects, and continuity of laboratory operations during disruptions.
What are the key skills and qualifications needed to thrive as a remote laboratory informatics specialist?
To excel as a Remote Laboratory Informatics Specialist, you need a solid background in laboratory science, informatics, and data management, often complemented by a degree in a scientific or IT field. Familiarity with Laboratory Information Management Systems (LIMS), electronic laboratory notebooks (ELNs), and data integration tools—along with relevant certifications such as CLIA or ITIL—is highly valuable. Strong analytical thinking, attention to detail, and effective virtual communication skills help you collaborate and troubleshoot remotely. These competencies enable efficient, accurate management of laboratory data and systems, ensuring compliance and supporting scientific operations from a distance.
What are some common challenges faced by professionals working in remote laboratory informatics roles?
Professionals in remote laboratory informatics often encounter challenges related to communication and data integration across distributed teams and systems. Since much of the work involves managing laboratory data, ensuring data integrity and security while collaborating virtually can be complex. Additionally, troubleshooting technical issues remotely and aligning with various laboratory protocols require strong problem-solving skills and adaptability. Building effective relationships with both on-site laboratory staff and IT teams is crucial for success in this environment.
What is the difference between Remote Laboratory Informatics vs Laboratory Data Analyst?
| Aspect | Remote Laboratory Informatics | Laboratory Data Analyst |
|---|---|---|
| Credentials | Typically requires degrees in informatics, computer science, or related fields; certifications in laboratory informatics are common | Usually requires degrees in life sciences, biology, or chemistry; data analysis certifications are beneficial |
| Work Environment | Primarily remote, working with laboratory software, databases, and informatics tools | Often in laboratory or office settings, analyzing experimental data and reports |
| Industry Usage | Used in biotech, pharma, and research institutions for managing lab data and systems | Common in research labs, healthcare, and quality control for data interpretation |
Remote Laboratory Informatics focuses on managing and developing laboratory information systems remotely, while Laboratory Data Analysts primarily interpret and analyze lab data on-site or in-office. Both roles require strong analytical skills but differ in technical focus and work environment.
What are popular job titles related to Remote Laboratory Informatics jobs in Michigan?
For Remote Laboratory Informatics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Laboratory Informatics jobs in Michigan look for?
The top searched job categories for Remote Laboratory Informatics jobs in Michigan are:
What cities in Michigan are hiring for Remote Laboratory Informatics jobs?
Cities in Michigan with the most Remote Laboratory Informatics job openings:
Data Scientist - Materials R&D - Remote-Travel
Marysville, MI • On-site, Remote
Full-time
Re-posted 9 days ago
Intertape Polymer Group rating
6.9
Based on 12 frontline employees who took The Breakroom Quiz
74th of 120 rated packaging manufacturers
Job description
Join the IPG Team!
Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions-we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you!
This position can be based out of Marysville, MI, or work remotely with some travel as needed.
Title: Senior Data Scientist
Department: Research and Development
Immediate Supervisor: R&D Vice President
Status: Exempt Salaried
Position Purpose: The Senior Data Scientist willsupport R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles.
Principle Accountabilities
Essential Skills and Experience
Why Choose IPG?
At IPG, you will find more than just a job-you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive.
Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people.
With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish!
We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG.
You belong here. Join us today!
Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions-we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you!
This position can be based out of Marysville, MI, or work remotely with some travel as needed.
Title: Senior Data Scientist
Department: Research and Development
Immediate Supervisor: R&D Vice President
Status: Exempt Salaried
Position Purpose: The Senior Data Scientist willsupport R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles.
Principle Accountabilities
- Partner with polymer scientists, chemists, and engineers to support bio-polymer research and development using data-driven methods
- Analyze and model experimental, formulation, and process data to identify structure-property-process relationships
- Develop predictive models to support:
- Material performance and property optimization
- Formulation design and screening
- Scale-up and process optimization
- Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines
- Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis
- Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets
- Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D
- Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders
- Understanding of data visualization best practices
- Experience working with batch or streaming data processes a plus
- Contribute to data dictionaries and process flow diagrams for complex data solutions
- Mentor junior data scientists or technical staff and contribute to data science best practices within R&D
- Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research
Essential Skills and Experience
- Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field; Master's or PhD preferred
- 10+ years of professional experience in data science, applied analytics, or scientific computing; experience working with materials science, polymer science or chemical R&D data, preferred
- Strong proficiency in Python and/or R for data analysis and modeling
- Solid experience with SQL and working with structured and semi-structured datasets
- Strong foundation in statistics, experimental design, and multivariate analysis
- Demonstrated experience applying machine learning to real-world, noisy scientific or experimental data
- Ability to work effectively in a cross-functional R&D environment
- Strong communication skills with the ability to translate complex analyses into actionable insights
- Familiarity with bio-polymers, sustainable materials, or polymer processing, preferred
- Experience with DOE software, laboratory data management systems (LIMS), or scientific databases, preferred
- Experience deploying models to support R&D decision-making or manufacturing scale-up, preferred
- Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred
- Prior experience mentoring or leading technical projects, preferred
Why Choose IPG?
At IPG, you will find more than just a job-you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive.
Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people.
With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish!
We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG.
You belong here. Join us today!
What Intertape Polymer Group employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Intertape Polymer Group
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Sarasota, FL, US