Digital Pathology - Data Scientist / Computational Scientist
Company: Glint Lab
Location: San Diego
Posted on: January 12, 2026
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Job Description:
Job Description Candidates with a strong biology background who
apply computational and data science methods to biological imaging
with a science-first, mission-driven, and service-oriented mindset
will be a strong fit for this role. About Glint Lab Glint Lab is a
mission driven histopathology CRO supporting biotech, pharma, and
academic partners with high quality tissue based assays and
quantitative image analysis. Our analysis team works at the
intersection of computational biology and histopathology, using
data science and image analysis as tools to extract biologically
meaningful insights from complex tissue data with real impact in
the biopharma industry. We are deeply science-first and
customer-oriented, and we value team members who care about the
quality, clarity, and impact of the data we deliver. The Role
You’ll work on analyzing digital pathology images and associated
datasets by applying computer vision and statistical methods to
characterize tissue architecture, biomarker expression, and spatial
patterns. Depending on experience, you’ll either support or lead
the development and execution of image analysis algorithms,
maintain high-quality AI models, perform statistical analysis, and
offer interpretation of results. This is an applied analytical role
with close collaboration across project managers, scientists, and
pathologists. What You’ll Do Perform quantitative analysis of
digital pathology whole slide images (H&E, IHC, IF, mIF, and
more); this will include leveraging software tools such as
Visiopharm, Halo, QuPath, and ImageJ/Fiji to train and fine-tune
ML/AI models Perform downstream statistical analysis and data
visualization using Python and/or R Conduct QC and validation of
image analysis algorithms and outputs Collaborate with scientists
to translate biological questions into quantitative results
Contribute to the development of workflow automation and new
analysis pipelines What We’re Looking For Required Bachelor’s or
Master’s degree in biology, bioengineering, biomedical engineering,
computational biology, bioinformatics, data science, or a related
discipline Foundational understanding of cell biology and
tissue-level organization Basic understanding of histology
concepts, including tissue architecture and common staining
approaches, or a demonstrated motivation to develop this knowledge
Working knowledge of Python and/or R for data analysis and
visualization Basic understanding of applied ML and computer vision
techniques Nice to Have Experience with digital pathology,
histology, or microscopy imaging data Familiarity with Visiopharm,
Halo, ImageJ/Fiji, QuPath, or CellProfiler Exposure to machine
learning / deep learning frameworks and advanced computer vision
techniques Experience in a research lab, CRO, or applied biomedical
setting Why Glint Lab Mission-driven and impactful work
Collaborative, scientifically rigorous environment Mentorship and
growth opportunities 100% remote work (San Diego optional)
Unlimited PTO, full health/dental/vision benefits, 401k match. Pay
Range: $70,000 – $90,000 per year. Actual compensation will depend
on skills and experience Glint Lab is an equal opportunity
employer. We celebrate diversity and are committed to creating an
inclusive environment for all employees.
Keywords: Glint Lab, Poway , Digital Pathology - Data Scientist / Computational Scientist, Science, Research & Development , San Diego, California
