Senior Bioimage Scientist at Veracyte

Ideal for a Ph.D. scientist with over six years of post-graduate experience in oncology and tissue-based imaging. You should have a proven background in quantit

Work type: hybrid

Location: San Diego, California, United States

Salary: $142,000 – $156,000/yr

Type: Full-time

Summary

Ideal for a Ph.D. scientist with over six years of post-graduate experience in oncology and tissue-based imaging. You should have a proven background in quantitative histopathology and the ability to bridge biological research with computational AI model development. **What makes it worth a look...** Veracyte offers a hybrid role based in San Diego with a transparent salary range of $142,000 to $156,000 per year. You will lead the development of diagnostic tools while working directly at the intersection of wet-lab assay design and dry-lab image analysis. **You might be a good fit if you...** * Have hands-on experience with ImageJ/FIJI or Python/R for advanced image quantification. * Are proficient in digital pathology annotation tools like QuPath, HALO, or Visipharm. * Possess deep expertise in IHC, multiplex staining, and TME phenotyping. * Understand the requirements for deploying analytical tools in CLIA/CAP regulated environments.

Job Description

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.

Our Values:

• We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care

• We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work

• We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins

• We Care Deeply: We embrace our differences, do the right thing, and encourage each other

We are seeking a Senior Scientist to join the Discovery Research team as a Bioimage Scientist focused on tissue-based oncology diagnostics. This role sits at the interface of pathologists, biologists, and AI/ML teams, contributing directly to new assay development, DPAI tool development, biological interpretation, and diagnostic product advancement. This is a wet- and dry-lab role, responsible for developing, optimizing, and validating imaging assays and quantitative image analysis to link biological and clinical questions with interpretable image-derived metrics and features.

Location:San Diego (Hybrid)

Responsibilities

• Lead conception, design, execution and analysis oftissue-based imaging assays (including H&E, IHC, special tissue stains, multiplex stains, spatial biology).

• Buildimage analysis workflows to extract interpretable, multi-scale morpho-quantitative biomarkers.

• Design workflow controls, stress tests, quantification and scoring strategies to establish robust methods that connect biological/clinical hypotheses (e.g., immune contexture, tumor aggressiveness, treatment response) with explainable image-based measurements.

• Work closely with pathologists to define annotation schemas, perform and oversee WSI annotation to generate high-quality datasets for DPAI algorithm development, model interpretation, etc.

• Partner withbioinformatics and AI/ML teams to design, develop, test, and refine quantitative image analysis and DPAI workflows, from image QC and annotation strategies to biomarker quantification and explainability.

• Drive image-based tumor phenotyping and quantitative analyses to characterize tumor, stromal, and immune cell populations, interactions and features.

• Provide cross-functional technical leadership and mentoring in bioimage analysis, slide management and annotation, and TME characterization.

• Guide operational deployment of workflows and analytical tools, including automation, scaling, SOP and validation design for CLIA/CAP regulated environments.

• Evaluate, benchmark, and integrate, as appropriate, commercial and open-source image analysis tools and AI models that enhance diagnostic and research capabilities.

• An experiencedbioimage scientist with deep hands-on expertise in tissue-based imaging assays, imaging analysis, quantitative histopathology and TME phenotyping.

• Familiarity with diagnostic product development.

• Comfortable operating at the interface of pathology, biology and AI/ML, translating complex tissue phenotypes into structured, quantitative data.

• Able to work with urgency and ownership in a fast-paced, cross-functional diagnostics environment.

• A clear communicator who can bridge pathologists, experimental scientists, and computational teams.

• Ph.D. in biology, biomedical sciences, bioengineering, computational biology, or related field (oncology expertise preferred).

• ≥6 years postgraduate experience, with ≥3 years in regulated industry preferred.

• Proven expertise in tissue staining assays,IHC, imaging assay development, quantitative histopathology, bioimage quantification, slide annotation and TME phenotyping.

• Hands-on experience with image analysis platforms (ImageJ/FIJI, or similar), advanced quantification methods (Python, R, or similar), digital pathology annotation (QuPath, CaMic, Omero or similar) and analysis platforms (HALO, Visipharm, etc).

• Prior experience in developing digital pathology AI solutions, in immune-oncology biology, and TME characterization strongly desired.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Pay range
$142,000—$156,000 USD

### What We Can Offer You

Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose.

### About Veracyte

Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit [www.veracyte.com](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.veracyte.com%2F&esheet=54340020&newsitemid=20251015446872&lan=en-US&anchor=www.veracyte.com&index=5&md5=4d48386b00ece1531372e2e593d7cd2d) or follow us on [LinkedIn](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fveracyte%2F&esheet=54340020&newsitemid=20251015446872&lan=en-US&anchor=LinkedIn&index=6&md5=234cba826cb637f449d2722139f551ef) or [X (Twitter)](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fx.com%2Fveracyte%3Fs%3D11&esheet=54340020&newsitemid=20251015446872&lan=en-US&anchor=X+%28Twitter%29&index=7&md5=20ead95735af622bf261b20735515b66).

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