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Pathology Annotation Jobs in Texas (NOW HIRING)

... pathology or aberrant findings. • Reviews images for accurate annotation, technique, and completeness. Demonstrates the ability to properly adjust the technical factors aimed at improving the image ...

... pathology or aberrant findings. • Reviews images for accurate annotation, technique, and completeness. Demonstrates the ability to properly adjust the technical factors aimed at improving the image ...

Pathology Annotation information

What is pathology annotation?

Pathology annotation is the process of labeling and marking specific features or regions of interest within pathology images, such as tissue samples or slides, to assist in diagnosis, research, or the development of artificial intelligence tools. These annotations can include identifying tumors, cell types, or other abnormalities. Pathology annotation is crucial for creating high-quality datasets that can be used to train machine learning models in digital pathology. It often requires specialized knowledge of histology and pathology to ensure accuracy.

What are the key skills and qualifications needed to thrive as a Pathology Annotation Specialist, and why are they important?

To excel as a Pathology Annotation Specialist, you need a background in life sciences or pathology, strong attention to detail, and familiarity with histological and cellular structures. Experience with digital pathology platforms, image analysis software, and sometimes certifications in medical laboratory technology are often required. Excellent analytical skills, precision, and effective communication help ensure reliable data annotation and collaboration with research teams. These competencies are critical for generating accurate datasets that support disease research and the development of diagnostic tools.

What are some common challenges faced by professionals in pathology annotation, and how can they be addressed?

Professionals in pathology annotation often encounter challenges such as interpreting ambiguous or low-quality tissue images, maintaining consistency in labeling, and managing large volumes of data. Addressing these challenges typically involves ongoing collaboration with pathologists, participation in regular training or calibration sessions, and utilizing standardized annotation protocols. Leveraging digital pathology software and quality control processes can also help ensure accuracy and consistency, making teamwork and communication essential components of success in this role.
What cities in Texas are hiring for Pathology Annotation jobs? Cities in Texas with the most Pathology Annotation job openings:
Software Engineer, Pathology and Digital Imaging

Software Engineer, Pathology and Digital Imaging

Neuralink

Austin, TX

Other

Posted 7 days ago


Job description

Team Description:

The Pathology and Digital Imaging team enables the rigorous preclinical studies our devices go through before reaching a user. Testing is precise; analyzing tissue to understand exactly what happened at the cellular level. This team is crucial for proving  safety, improving our  device, and pushing  science forward.

Histological analysis has shown that Neuralink's threads preserve 98% of neurons at the implant interface. The Pathology and Digital Imaging Team makes these kinds of analyses possible.

This is a small, tightly knit team, and you'll work directly with pathologists, technicians, and neuroscientists. You'll watch them use your software, hear what's slow, see what's confusing, and ship fixes and features fast. The feedback loop is measured in hours, not sprints.

Job Description and Responsibilities:

As a Software Engineer on the Pathology and Digital Imaging Team,  you'll own the software stack that powers Neuralink's pathology and histology operations. This spans the full lifecycle - from the moment tissue is collected at necropsy, through processing, staining, and imaging.

You'll build the software that makes this analysis scalable: tracking thousands of tissue specimens from collection through microscopic analysis, giving scientists the tools to analyze billion-pixel images, and building AI tools to auto-analyze tissue response. Projects you will work on: 

  • Tissue specimen tracking systems that follow samples, organ blocks, and slides through every step of the histology workflow
  • A high-performance whole-slide image viewer that renders billion-pixel microscopy images in the browser
  • Annotation and analysis tools that let scientists draw regions of interest, score pathology findings, and compare serial sections with image alignment and overlay
  • ML annotation pipelines where model predictions are surfaced to scientists for validation, accelerating the analysis of large tissue datasets

Required Qualifications: 

  • A bachelor's degree in Computer Science or equivalent demonstrated work experience
  • Strong full-stack engineering skills. Our stack is Ruby on Rails and React/TypeScript, but we care more about your ability to learn and ship than your resume matching our package.json
  • You've built software that real people use
  • You can talk to users, understand their problems, and translate that into well-built software. This role is deeply collaborative
  • You take ownership. When your software breaks on the floor, you fix it
  • You're comfortable with ambiguity. Manufacturing at this scale hasn't been done before for this kind of device