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Remote Microbiology Research Scientist Jobs (NOW HIRING)

Mercor

ML Research Scientist - PhD

New York, NY · Remote

$110 - $145/hr

ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110-$145 ... Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ...

Hitachi

Research Scientist - Theoretical Physics

Raleigh, NC · On-site +1

  • Medical

  • Retirement

  • PTO

Engineering & Science Job Schedule: Full time Remote: No Research Scientist - Theoretical Physics The Opportunity As a Research Scientist focused on theoretical physics applications for power system ...

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Hitachi

Research Scientist - Power Systems

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineering & Science Job Schedule: Full time Remote: No Research Scientist - Power Systems The Opportunity At Hitachi Energy, we're not just imagining the future of power systems-we're building it.

Wisconsin

Senior Research Scientist-Field Day

Madison, WI · On-site +1

$99K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Scientist III Job Summary: The Wisconsin Center for Education Research (WCER), housed in the ... Remote work is subject to UW-Madison remote-work policies and approval. Key Job Responsibilities:

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Hitachi

Research Scientist - Power System Operation

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineering & Science Job Schedule: Full time Remote: No Research Scientist - Power System Operation The Opportunity Hitachi Energy is driving the transformation of the global power grid-and we're ...

Weekday AI

Biology Research Scientist (BA, MS, PhD)

$50 - $70/hr

PhD with research or industry experience in biotechnology, pharmaceutical sciences, or drug ... Engagement Details * Remote independent contractor opportunity. * Immediate start available.

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Remote Microbiology Research Scientist information

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How much do remote microbiology research scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote microbiology research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote microbiology research scientist, and why are they important?

To thrive as a Remote Microbiology Research Scientist, you need a solid background in microbiology, experimental design, and data analysis, typically supported by a master's or doctoral degree in a relevant field. Familiarity with laboratory management software, bioinformatics tools, and remote collaboration platforms is often required. Exceptional problem-solving abilities, attention to detail, and strong written communication skills distinguish top performers in this role. These skills and qualities are crucial for conducting rigorous research, analyzing complex datasets, and effectively sharing results with a distributed team.

How do remote microbiology research scientists typically collaborate with lab-based teams and manage experimental work remotely?

Remote Microbiology Research Scientists often collaborate with on-site lab teams through regular virtual meetings, detailed experimental planning, and cloud-based data sharing platforms. While direct hands-on lab work may be limited, remote scientists contribute by designing experiments, analyzing results, and interpreting data. They maintain close communication with lab technicians and fellow researchers to ensure research objectives are met efficiently. This structure requires strong organizational skills and the ability to coordinate across different time zones and disciplines.

What is a remote microbiology research scientist?

A Remote Microbiology Research Scientist is a professional who studies microorganisms such as bacteria, viruses, fungi, and algae, but conducts their research and analysis from a remote location rather than in a traditional laboratory setting. This role often involves analyzing data, designing experiments, reviewing scientific literature, and collaborating with other scientists using digital tools. Remote microbiologists may work for academic institutions, private companies, or government agencies, contributing to projects in healthcare, environmental science, or biotechnology. They typically use specialized software to interpret results and may occasionally visit labs or field sites if needed.
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Remote Microbiology Research Scientist jobs near you
Infographic showing various Remote Microbiology Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Lead Research Scientist in AI

UL Research Institutes

Remote

Full-time

Posted 27 days ago

Job description

Job Description
We have an exciting opportunity for a Lead Research Scientist in AI atUL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity.
The Lead Research Scientist in AI directs advanced research in natural language processing (NLP) and large language models (LLMs) to support Digital Safety's mission. This role leads research in NLP and LLM safety including literature surveys, experimental design, AI/software engineering, data acquisition, data analysis, and documentation necessary to execute comprehensive experimental studies. The Lead Research Scientist establishes research concepts and criteria to resolve major problems in current programs or approaches. Projects require substantial knowledge of state-of-the-art AI/software engineering principals and theories and uses professional concepts and procedures to solve a wide range of research-based problems.
UL Research Institutes:
At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge.
Build a safer, more secure, and sustainable future with us. Join us and work with our Fire Safety teams who conduct the research required to produce that knowledge and put it into practice.
Digital Safety Research Institute:
The Digital Safety Research Institute (DSRI) addresses unresolved safety risks and emerging dangers in the world's digital ecosystem. We aim to help protect people from unwanted access to personal devices and privacy, algorithms, and disinformation threats by working to create a new digital safety ecosystem.
DSRI is committed to sharing digital safety insights, collaborating with key stakeholders, and offering extensive outreach and education to help support safer digital environments for people everywhere.
What you'll learn and achieve:
As the Lead Research Scientist in AI, you will play a key role in the rapid growth of UL as you:
  • Formulate, design, and manage independent test and evaluation research programs to protect the public from AI systems harms - focusing on testing systems enabling the most public harm.

  • Lead and contribute to the development of competitive research proposals, including defining scope, methodology, and deliverables, to secure funding for independent AI test and evaluation research programs.

  • Serve as a principal investigator Digital Safety's independent test and evaluation research programs in NLP and LLMs, providing scientific leadership and accountability for program outcomes, timelines, and deliverables

  • Apply intensive and diverse knowledge of technology and AI/software engineering concepts to execute and manage specific research programs.

  • Analyze experimental results to determine causes of problems and develop solutions, and evaluates technical specifications and factors related to process or design objectives.

  • Plan, design, and complete initial and follow-up procedures as needed to validate the testing and evaluation results.

  • Plan, design, and execute research challenges, using and improving Digital Safety's evaluation tools, to lead the NLP and LLM community to solve problems of importance to transition partners.

  • Propose and host workshops at leading research conferences in AI safety where research challenge winning methods and their comparative results are discussed to move the field forward in producing results that can have impact in public safety.

  • Stay ahead of changing technologies in the field by reading papers and scientific publications and attending academic conferences.'

  • Contribute to and/or lead other department specific and cross-functional initiatives.

What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Expert knowledge of AI/software engineering disciplines.

  • Demonstrated experience to secure research funding through competitive proposal development.

  • Demonstrated experience to lead research programs and serve as principal investigator, driving accountability for scientific outcomes and program execution.

  • Demonstrated ability to attract invitations to give keynote presentations.

  • Excellent communication skills required.

  • Advanced AI/software engineering and data analysis skills.

  • Ability to collaborate effectively with research scientists, engineers, and external partners to deliver research outcomes

  • Ability to publish research results at leading academic conferences.

Professional education and experience requirements for the role include:
  • PhD in computer Science (with a focus on NLP or LLMs) plus 6 or more years of directly related research experience.

  • Master's degree in computer science (with a focus on NLP or LLMs) plus 8 or more years of directly related research experience.

  • Bachelor's degree in computer science (with a focus on NLP or LLMs) plus 12 or more years of directly related research experience.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.
Salary Range:
$131,186.31-$180,381.17
Pay Type:
Salary

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