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Remote Research Engineer Jobs in Tennessee (NOW HIRING)

Infrastructure Platform Engineer

Oak Ridge, TN · On-site +1

$102K - $134K/yr

... remote Overview: The High-Performance Computing Systems Section within a large Research and ... Develop, maintain, and review high-quality code for internal tools using programming languages such ...

New

Senior Software Engineer

Nashville, TN · Remote

$118K - $156K/yr

Remote TRAVEL: Rarely for conferences, strategic planning sessions, and key stakeholder meetings ... Stay informed about relevant technologies through independent research and share insight with the ...

Senior Software Engineer

Nashville, TN · On-site +1

$118K - $156K/yr

Remote TRAVEL: Rarely for conferences, strategic planning sessions, and key stakeholder meetings ... Stay informed about relevant technologies through independent research and share insight with the ...

Support secure remote access and vendor access controls for manufacturing support scenarios ... Research emerging threats and technologies to continuously improve security posture. Collaboration ...

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... Proactively research and understand industry trends on various components of the data platform.

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will ... Research, implement, and launch new model architectures that drive business impact. Partner and ...

Showing results 21-40

Remote Research Engineer information

See Tennessee salary details

$33.6K

$96.2K

$129.3K

How much do remote research engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote research engineer in Tennessee is $96,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $94,400.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote research engineer?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What is a remote research engineer?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What are some unique challenges faced by remote research engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

What are the most commonly searched types of Research Engineer jobs in Tennessee?

The most popular types of Research Engineer jobs in Tennessee are:

What are popular job titles related to Remote Research Engineer jobs in Tennessee?

For Remote Research Engineer jobs in Tennessee, the most frequently searched job titles are:

Infographic showing various Remote Research Engineer job openings in Tennessee as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $96,219 per year, or $46.3 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Knoxville, TN • Remote

$90 - $120/hr

Part-time

Posted 18 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.