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Remote Animal Science Research Jobs in Michigan (NOW HIRING)

Toyota

Sr. Principal Scientist - R&D

Ann Arbor, MI · On-site +1

  • Medical

  • Retirement

  • PTO

Must have a PhD in Engineering, Computer Science, Data Science, Physical Sciences, Business ... Remote work on Fridays may be permitted based on project priorities and business requirements ...

micro1 AI

Research Consultant - Physics AI

Ann Arbor, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

micro1 AI

Research Consultant - Physics AI

Warren, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

micro1 AI

Research Consultant - Physics AI

Lansing, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

micro1 AI

Research Consultant - Physics AI

Detroit, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

micro1 AI

Research Consultant - Physics AI

Dearborn, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

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Remote Animal Science Research information

What is remote animal science research?

Remote animal science research involves conducting scientific studies on animals and their ecosystems using digital tools and technologies, often without being physically present in the field or laboratory. Researchers may use remote data collection methods such as satellite tracking, camera traps, virtual simulations, and online databases to gather and analyze information. This approach allows scientists to monitor animal behavior, health, and populations from a distance, increasing efficiency and minimizing human disturbance to wildlife. Remote animal science research is especially valuable for studying hard-to-reach or endangered species, and it often supports conservation efforts worldwide.

How does collaboration typically work for remote animal science research teams?

In remote animal science research roles, collaboration often relies on digital communication tools such as video conferences, shared databases, and cloud-based project management platforms. Researchers regularly coordinate with colleagues, data analysts, and sometimes field technicians to share findings, discuss methodologies, and plan experiments. While physical lab presence is limited, frequent virtual meetings and document sharing help maintain strong team cohesion and ensure project milestones are met. Building strong communication skills and being proactive in updates are key to successful collaboration in this remote setting.

What are the key skills and qualifications needed to thrive in remote animal science research, and why are they important?

To excel in Remote Animal Science Research, you need a strong background in biology or animal science, research methodology, and data analysis, usually supported by a relevant degree. Familiarity with statistical software (e.g., R, SPSS), GIS tools, and remote data collection platforms is typically required. Excellent written communication, critical thinking, and self-motivation are vital soft skills for collaborating virtually and managing independent projects. These skills ensure accurate data collection, insightful analysis, and effective teamwork, which are crucial for advancing scientific knowledge in remote research settings.

What are popular job titles related to Remote Animal Science Research jobs in Michigan?

For Remote Animal Science Research jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Animal Science Research jobs in Michigan look for?

The top searched job categories for Remote Animal Science Research jobs in Michigan are:

What cities in Michigan are hiring for Remote Animal Science Research jobs?

Cities in Michigan with the most Remote Animal Science Research job openings:

Remote Animal Science Research jobs near you
Infographic showing various Remote Animal Science Research job openings in Michigan as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% Remote job distribution.

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Re-posted 6 days ago

Intertape Polymer Group rating

6.9

Company rating: 6.9 out of 10

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
  • 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!

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