Remote Research Lab Manager Jobs
Remote Research Lab Manager jobs are in active demand across the U.S., with remote-first firms and distributed research teams hiring across biotech, pharmaceutical, and academic sectors. Employers hiring remotely right now include micro1, Trace3, and Mayo Clinic. Find a role that fits below and apply directly.
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Showing 5 of 6+ Remote Research Lab Manager jobs
Required Skills
About micro1
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Job Title: Member of Technical Staff, Cortex Lab (applied AI research)
Job Type: Full-time
Location: Remote
The Role
We're hiring a Member of Technical Staff (MTS) to develop, evaluate, and improve AI agents and LLM-powered systems operating in real-world enterprise workflows.
This is a hands-on applied research and engineering role focused on agent evaluations, failure analysis, and rapid experimentation. You'll work closely with researchers, engineers, domain experts, and enterprise customers to identify capability gaps, design rigorous evaluations, and drive measurable improvements in AI system performance.
You'll also contribute to research tooling and infrastructure that accelerates experimentation and evaluation.
What You'll Do
- Design and implement evaluation frameworks, benchmarks, and datasets for LLM-powered agents and complex AI workflows.
- Identify, analyze, and prioritize model, agent, and workflow failures in real-world production environments.
- Run rapid experiments to validate hypotheses, measure performance, and improve agent reliability and effectiveness.
- Partner with enterprise customers and researchers to evaluate, deploy, and optimize AI systems across production workflows.
- Develop high-quality training and evaluation data, task specifications, and feedback mechanisms to improve system performance.
- Build Python-based evaluation pipelines, experimentation tools, and lightweight research infrastructure.
- Collaborate with researchers, domain experts, and customer stakeholders to define evaluation strategies and optimization roadmaps.
- Contribute to technical reports, benchmarks, and research insights that inform future system improvements.
What We're Looking For
- Strong background in applied AI research, research engineering, machine learning, or LLM-based systems.
- Hands-on experience designing and implementing evaluations for AI agents, including tool use, multi-step workflows, and task completion.
- Strong Python programming skills and experience building evaluation pipelines, experimental tooling, or ML infrastructure.
- Experience developing benchmarks, datasets, evaluation metrics, and experimental methodologies for AI systems.
- Ability to analyze agent failures, identify root causes, and translate findings into measurable performance improvements.
- Understanding of LLM behavior, agentic architectures, and common challenges in reliability, robustness, and generalization.
- Ability to translate ambiguous real-world problems into structured experiments and actionable technical solutions.
- Strong collaboration and communication skills, with the ability to work across research, engineering, and customer teams.
Preferred Qualifications
- Experience evaluating or optimizing AI agents in production or enterprise environments.
- Familiarity with reinforcement learning, reward modeling, or post-training techniques.
- Experience building research infrastructure, evaluation tooling, or automated experimentation frameworks.
- Prior experience at a frontier AI lab or in an applied AI research environment.
- Contributions to research publications, open-source benchmarks, or AI evaluation frameworks.
- Experience collaborating directly with enterprise customers or technical stakeholders.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$250,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
Apply now
Required Skills
About micro1
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Job Title: Member of Technical Staff, Cortex Lab (applied AI research)
Job Type: Full-time
Location: Remote
The Role
We're hiring a Member of Technical Staff (MTS) to develop, evaluate, and improve AI agents and LLM-powered systems operating in real-world enterprise workflows.
This is a hands-on applied research and engineering role focused on agent evaluations, failure analysis, and rapid experimentation. You'll work closely with researchers, engineers, domain experts, and enterprise customers to identify capability gaps, design rigorous evaluations, and drive measurable improvements in AI system performance.
You'll also contribute to research tooling and infrastructure that accelerates experimentation and evaluation.
What You'll Do
- Design and implement evaluation frameworks, benchmarks, and datasets for LLM-powered agents and complex AI workflows.
- Identify, analyze, and prioritize model, agent, and workflow failures in real-world production environments.
- Run rapid experiments to validate hypotheses, measure performance, and improve agent reliability and effectiveness.
- Partner with enterprise customers and researchers to evaluate, deploy, and optimize AI systems across production workflows.
- Develop high-quality training and evaluation data, task specifications, and feedback mechanisms to improve system performance.
- Build Python-based evaluation pipelines, experimentation tools, and lightweight research infrastructure.
- Collaborate with researchers, domain experts, and customer stakeholders to define evaluation strategies and optimization roadmaps.
- Contribute to technical reports, benchmarks, and research insights that inform future system improvements.
What We're Looking For
- Strong background in applied AI research, research engineering, machine learning, or LLM-based systems.
- Hands-on experience designing and implementing evaluations for AI agents, including tool use, multi-step workflows, and task completion.
- Strong Python programming skills and experience building evaluation pipelines, experimental tooling, or ML infrastructure.
- Experience developing benchmarks, datasets, evaluation metrics, and experimental methodologies for AI systems.
- Ability to analyze agent failures, identify root causes, and translate findings into measurable performance improvements.
- Understanding of LLM behavior, agentic architectures, and common challenges in reliability, robustness, and generalization.
- Ability to translate ambiguous real-world problems into structured experiments and actionable technical solutions.
- Strong collaboration and communication skills, with the ability to work across research, engineering, and customer teams.
Preferred Qualifications
- Experience evaluating or optimizing AI agents in production or enterprise environments.
- Familiarity with reinforcement learning, reward modeling, or post-training techniques.
- Experience building research infrastructure, evaluation tooling, or automated experimentation frameworks.
- Prior experience at a frontier AI lab or in an applied AI research environment.
- Contributions to research publications, open-source benchmarks, or AI evaluation frameworks.
- Experience collaborating directly with enterprise customers or technical stakeholders.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$250,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
Apply now
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Find JobsRemote Research Lab Manager Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote research lab manager jobs.
- Bachelor's or master's degree in a life science, chemistry, or related field
- 3 to 5 years of laboratory experience with at least 1 year in a supervisory role
- Proficiency with laboratory information management systems such as LIMS
- Working knowledge of GLP, GMP, or GCP compliance standards
- Experience managing lab budgets, procurement, and vendor relationships
- Biosafety certification or demonstrated experience with BSL-2 or BSL-3 protocols
Tips for Your Remote Research Lab Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote research lab manager openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Highlight async coordination in your materials
Remote research lab manager roles rely on written communication and digital workflows. Call out your experience with LIMS platforms, shared documentation systems, and async vendor or team coordination to show you can manage operations without in-person oversight.
Show documented outcomes from past lab work
Remote employers can't observe your process, so they hire on results. Quantify improvements you drove: turnaround times, compliance rates, inventory accuracy, or cost reductions. Specific, measurable outcomes make your application stand out against candidates with similar credentials.
Prepare for remote-specific interview scenarios
Remote hiring managers often ask how you handle protocol deviations, equipment failures, or team conflicts without being on-site. Practice walking through real examples where you resolved a lab operations problem entirely through remote communication and documentation.
Remote Research Lab Manager Jobs: Frequently Asked Questions
How do I get a remote research lab manager job?
Remote research lab manager roles go to candidates who can demonstrate self-direction, strong written communication, and the ability to coordinate lab operations without being on-site. Remote employers screen heavily for async collaboration skills, experience managing distributed teams or vendors, and familiarity with digital lab management systems. Showing documented outcomes from previous lab work gives you a clear edge over candidates with similar credentials.
Which companies hire remote research lab managers?
Employers currently hiring remote research lab managers include micro1, Trace3, and Mayo Clinic, per current remote listings on Migrate Mate as of November 2026. Remote-first biotech firms, pharmaceutical companies with distributed R&D teams, and clinical research organizations across the U.S. tend to hire research lab managers for fully remote or hybrid-remote roles.
Can you get a remote research lab manager job with no experience?
Yes, but remote entry-level research lab manager roles are harder to land because employers expect you to work independently from day one with minimal oversight. Contract research organizations and early-stage biotech startups are more likely to consider candidates without traditional management experience. Showing initiative through published research, volunteer lab coordination, or hands-on project leadership can open doors when direct experience is thin.
Do you need a degree for remote research lab manager jobs?
Usually, but remote employers weigh demonstrated lab management skills and results alongside formal credentials. A bachelor's or master's degree in a life science or related field is common, though employers increasingly consider candidates who can show strong operational track records, proficiency with laboratory information management systems, and clear examples of running efficient, compliant lab environments remotely.
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