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Remote Laboratory Manager Jobs (NOW HIRING)

Aspen Dental

Senior Analyst, Laboratory Optimization

$90K - $105K/yr

Experience managing across matrix for execution with strong problem-solving skills focused ... This position offers a hybrid or remote work arrangement based on your location. Candidates ...

Danaher

Laboratory Support Technician

Eugene, OR · On-site +1

This position reports to the Batch Production Manager and is part of the In-House Manufacturing ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Laboratory Support Technician

Eugene, OR · On-site +1

This position reports to the Batch Production Manager and is part of the In-House Manufacturing ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Knott Laboratory LLC

Structural Engineer

Denver, CO · Remote

$75K - $95K/yr

Structural Engineering Manager Experience Level: Entry-Level Salary Range: $75,000-$95,000 annually ... About the Role Knott Laboratory is seeking a Structural Engineer (E.I.T.) to join our ...

Knott Laboratory LLC

Structural Engineer

Denver, CO · Remote

$75K - $95K/yr

Structural Engineering Manager Experience Level: Entry-Level Salary Range: $75,000-$95,000 annually ... About the Role Knott Laboratory is seeking a Structural Engineer (E.I.T.) to join our ...

Knott Laboratory LLC

Structural Engineer

Denver, CO · Remote

$96K - $122K/yr

Mid-Level Salary Range: $96,000-$122,000 annually About the Role Knott Laboratory is seeking a ... Manage multiple projects simultaneously while maintaining quality, accuracy, and timeliness.

Knott Laboratory LLC

Structural Engineer

Phoenix, AZ · Remote

$96K - $122K/yr

Mid-Level Salary Range: $96,000-$122,000 annually About the Role Knott Laboratory is seeking a ... Manage multiple projects simultaneously while maintaining quality, accuracy, and timeliness.

Knott Laboratory LLC

Structural Engineer

Denver, CO · Remote

$96K - $122K/yr

Mid-Level Salary Range: $96,000-$122,000 annually About the Role Knott Laboratory is seeking a ... Manage multiple projects simultaneously while maintaining quality, accuracy, and timeliness.

Knott Laboratory LLC

Structural Engineer

Phoenix, AZ · Remote

$96K - $122K/yr

Mid-Level Salary Range: $96,000-$122,000 annually About the Role Knott Laboratory is seeking a ... Manage multiple projects simultaneously while maintaining quality, accuracy, and timeliness.

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Remote Laboratory Manager information

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$32.5K

$92K

$149K

How much do remote laboratory manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote laboratory manager in the United States is $91,960.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What is a remote laboratory manager?

Remote Laboratory Managers are professionals responsible for overseeing the operations of laboratories from a remote location. They coordinate daily lab activities, manage staff, ensure safety and compliance with regulations, and maintain equipment and inventory using digital tools. By leveraging technology, they monitor data, workflows, and performance without being physically present in the lab. This role is becoming more common as organizations adopt flexible work environments and digital lab management systems.

How does a remote laboratory manager effectively oversee lab operations and ensure quality control when not physically present on site?

A Remote Laboratory Manager typically leverages digital lab management systems, video conferencing, and real-time data monitoring tools to oversee daily operations and maintain quality standards. They coordinate closely with on-site technicians and scientists through regular virtual meetings, digital protocols, and detailed reporting. Building strong communication channels and trust with team members is essential to promptly address issues and ensure compliance with safety and regulatory guidelines. While not physically present, remote managers often conduct virtual audits, review digital lab records, and provide ongoing training to ensure the lab runs smoothly and efficiently.

What are the key skills and qualifications needed to thrive as a remote laboratory manager, and why are they important?

To excel as a Remote Laboratory Manager, you need a solid background in laboratory sciences, strong organizational skills, and a relevant degree such as a BS or MS in a scientific field. Familiarity with laboratory information management systems (LIMS), remote communication platforms, and quality assurance protocols is typically required. Exceptional leadership, problem-solving, and effective virtual communication skills are vital for managing teams and maintaining high standards from a distance. These competencies ensure efficient lab operations, regulatory compliance, and successful coordination in a remote or hybrid environment.

What is the difference between Remote Laboratory Manager vs Laboratory Technician?

AspectRemote Laboratory ManagerLaboratory Technician
CredentialsBachelor's degree in science or related field, management experienceAssociate's or bachelor's degree in science or related field
Work EnvironmentOversees lab operations remotely, coordinates teams, manages projectsPerforms hands-on lab tests and procedures on-site
Employer & Industry UsageResearch institutions, biotech companies, universitiesHospitals, research labs, manufacturing facilities

The Remote Laboratory Manager primarily oversees lab operations remotely, focusing on management, coordination, and project oversight. In contrast, Laboratory Technicians are involved in hands-on testing and data collection within the lab. While both roles require scientific credentials, the manager's role is more administrative and supervisory, often working remotely, whereas technicians are on-site executing laboratory procedures.

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For Remote Laboratory Manager jobs, the most frequently searched job titles are:

Remote Laboratory Manager jobs near you
Infographic showing various Remote Laboratory Manager job openings in the United States as of September 2026, with employment types broken down into 81% Full Time, 8% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,960 per year, or $44.2 per hour.

Laboratory Data Ontologist (Remote)

Boston, MA • On-site, Remote

Semaphore Solutions
See more jobs at Semaphore Solutionsexternal

Other

Medical, Retirement, PTO

Posted 3 days ago

New

Job description

Laboratory Data Ontologist
Remote | Canada or US
Overview
We are seeking a Laboratory Data Ontologist to strengthen the semantic foundation of our platform and the client-specific ontologies deployed on top of it. Labbit is built on a typed entity graph - samples, containers, locations, instruments, pools, and their provenance - and every implementation is, at its core, a modelling exercise: mapping a client's scientific and operational vocabulary onto that graph without losing fidelity.
This role sits within our Advisory group. You will spend ~50% of your time billable on client implementation projects as the modelling lead, and the remaining ~50% on internal stewardship - evolving the core ontology, codifying modelling practice, and supporting Sales pursuits. This is not a data engineer role and not a solutions architect role. You are a modeller - steeped in information theory, taxonomy design, and ontology engineering - whose primary deliverables are client and platform ontologies, reference models, and the standards that govern them.
Why This Role Matters
Our platform's differentiator is a configurable, versioned entity graph with immutable lineage. That model is only as valuable as the discipline behind it:
  • Advisory engagements deepen when modelling is treated as a first-class deliverable rather than a byproduct of configuration.
  • Sales wins when we can quickly show a prospect their world represented cleanly in our model.
  • Implementation delivers faster when client vocabulary maps to reusable patterns instead of bespoke types.
  • Platform evolves coherently when extensions across clients are legible as variants of shared abstractions rather than divergent one-offs.

Housing this role in Advisory keeps the practitioner close to real client problems - the billable work is where modelling craft is sharpened - while the non-billable half compounds those learnings into shared assets the whole company draws on.
What You Will Do
1. Lead Modelling on Client Engagements (~50% billable)
  • Serve as the modelling lead on Advisory and Implementation engagements where ontology depth is the critical risk
  • Run discovery sessions to elicit and structure client domain models
  • Produce target ontologies - entity types, controlled vocabularies, field taxonomies, workflow decompositions - as billable deliverables
  • Review changeset designs for modelling quality alongside implementation engineers
  • Coach client counterparts on stewardship of their own model post go-live

2. Steward the Core Ontology
  • Own the conceptual model behind Labbit's base entity types (@Sample, @Container, @Location, @Instrument, @Reagent, @Pool) and their inheritance semantics
  • Maintain design principles for when to extend a base type vs. introduce a new one
  • Review proposed changes to the base ontology for coherence, minimalism, and long-term extensibility
  • Curate the shared reference/IRI namespace so aliases remain meaningful across changesets and clients

3. Codify Modelling Practice Across Advisory
  • Author internal standards for taxonomy design, controlled vocabulary governance, and ontology versioning
  • Identify reusable extension patterns across client engagements and promote them into shared libraries
  • Establish review rituals so modelling decisions are traceable and reversible
  • Train Advisory and Implementation staff in applied ontology techniques
  • Build a shared library of domain reference models for our priority verticals (QC manufacturing, clinical genomics, CGT, stability)

4. Support Sales
  • Join late-stage sales cycles to lead ontology discovery sessions with prospects
  • Produce lightweight target models that demonstrate fit without over-committing to configuration
  • Translate prospect terminology (assays, panels, batches, lots) into our model in real time during demos

5. Inform Platform Direction
  • Surface modelling gaps discovered across client work as candidate platform investments
  • Advise Platform Engineering on schema evolution semantics (changeset migrations, deprecations, aliasing)
  • Contribute to decisions about first-class vs. reference-data entities, computed fields, and graph traversal features

What You Will Not Do
  • Own application development or feature delivery
  • Serve as project manager or delivery lead on client engagements
  • Replace implementation configuration engineers or platform engineers
  • Build a parallel modelling framework outside our changeset system

Qualifications
Required
  • Strong grounding in information theory, formal ontology, or knowledge representation (academic or applied)
  • 5+ years working with structured domain models - taxonomies, controlled vocabularies, ontologies, or graph schemas - in production settings
  • Fluency with at least one modelling formalism (OWL/RDF, property graphs, UML class models, ISA-Tab, or comparable)
  • Demonstrated ability to elicit domain knowledge from subject-matter experts and translate it into a coherent model
  • Comfort in a client-facing, billable advisory context - including scoping deliverables, running workshops, and defending modelling decisions to technical and non-technical stakeholders
  • Comfort reading and reasoning about configuration-as-code artifacts (JSON schemas, BPMN, expression languages)
  • Excellent written communication - you will produce reference models, standards, and documentation that others rely on

Strongly Preferred
  • Experience in laboratory informatics, life sciences, or another regulated scientific domain (QC manufacturing, genomics, clinical diagnostics, CGT)
  • Familiarity with LIMS, ELN, or scientific workflow platforms and their data models
  • Experience with versioned schema evolution and immutable/provenance data models
  • Exposure to regulated environments (21 CFR Part 11, GAMP5) and their implications for schema governance
  • Prior consulting or professional services experience with utilization targets

To further support our team, we offer the following benefits:
  • Competitive vacation
  • Flexible health spending account / Health Insurance
  • RRSP / 401 K matching
  • Annual professional development budget
  • The expected salary range for this role is: $150,000 - $190,000 CAD or USD
    Actual compensation may vary based on experience, domain expertise, and geographic location.

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