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Role description

Histology Manager

NOETIK logoNOETIK
WorkplaceOn-site
SenioritySenior
LocationSan Francisco, CA
Posted9/17/2026
Research

THE OPPORTUNITY

We are seeking an experienced Histology Manager to lead our histology operations and team. This role will be responsible for ensuring consistent, high-quality, and timely preparation of tissue samples supporting an evolving range of research and data generation workflows.

This role combines deep technical expertise in histology with strong operational and people leadership. This role will oversee day-to-day histology operations, develop and mentor the histology team, establish and maintain high quality standards, and continuously improve laboratory workflows with an eye for automation as our sample volumes and technical capabilities scale.

ROLE AND RESPONSIBILITIES

The Histology Manager will work closely with colleagues across Biosample Operations, Pathology, Platform Innovation, Engineering, and other functions. The ideal candidate is an experienced histotechnologist who excels at building high performing teams, solving difficult tissue processing and sectioning problems, and developing robust laboratory operations in a fast-paced and dynamic environment. Success in this role will require a determination to push the boundaries of histology operations to creatively scale workflows.

Responsibilities include:

Histology operations and technical leadership

  • Lead day-to-day histology operations, including FFPE reembedding, sectioning, H&E staining, and related tissue processing workflows
  • Serve as technical resource for difficult or complex histology issues
  • Establish and maintain standards for each step of the histology workflow, troubleshoot all aspects of the histology workflow, lead root cause investigations where appropriate
  • Ensure consistent production of high quality tissue sections for downstream assays including H&E, immunostaining, and spatial transcriptomics
  • Partner with downstream assay teams to understand requirements and ensure appropriate tissue preparation
  • Communicate capacity constraints, technical risks, and sample quality issues to stakeholders
  • Evaluate and implement new histology equipment, consumables, technologies, workflows, and cutting edge automation to enable histology operations at scale

Team leadership

  • Manage, mentor, and develop the histology team
  • Establish clear expectations for technical performance, quality, productivity, and laboratory procedures
  • Provide regular feedback, coaching, and career development for team members
  • Develop onboarding and training programs for new histology team members
  • Foster a collaborative, quality-focused, and continuous-improvement culture

REQUIRED EDUCATION & EXPERIENCE

  • Bachelor’s degree in biological sciences, histotechnology, or related field
  • Extensive hands-on experience in histology, including FFPE tissue preparation and sectioning
  • Demonstrated expertise sectioning a broad range of human tissue types, including challenging specimens
  • Strong understanding of common histology workflows and artifacts, including tissue microarrays, with ability to troubleshoot complex issues
  • Experience managing a histology team supporting high throughput tissue workflows
  • Experience managing laboratory workflows, priorities, and capacity, including working with laboratory information management systems
  • Strong organizational skills and attention to detail, particularly when working with high value or limited tissue samples

QUALIFICATIONS AND SKILLS

  • Strong track record in exceeding expectations, with a drive for efficiency
  • Demonstrated ability to work effectively in a fast paced, highly collaborative and dynamic environment
  • Strong written and verbal communication skills
  • Team player, eager to unblock bottlenecked steps and lead continuous process improvement

Relevant archetypes

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Company info

NOETIK logo

NOETIK

Noetik is an AI-native biotechnology company that applies self-supervised machine learning to large-scale human multimodal spatial omics datasets with the aim of developing precision cancer therapies. Its platform combines high-throughput in vivo CRISPR “Perturb-Map” screening with foundation models like OCTO, which integrates data from proteomics, transcriptomics, DNA sequencing, and histopathology to simulate tumor and immune-cell behavior.

Founded2022
HQSouth San Francisco, United States
Size11–50 employees
IndustryBiotechnology Research
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