Bioinformatics Research Scientist II

Overview

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 pursue bold ideas, embrace complexity, and keep pushing forward.
• We Make It Happen
  :
  We act with urgency, deliver with excellence, and always find a way.
• We Are Stronger Together
  :
  We engage with empathy, align around what's best for Veracyte, and celebrate as one team.
• We Care Deeply
  :
  We show up with integrity, kindness, and respect for one another.

We are seeking a talented and motivated Bioinformatics Research Scientist to join the Translational Bioinformatics group within the Bioinformatics and Data Science Team. This role will focus on applying computational and statistical methods to large‑scale transcriptomic and genomic datasets, with a strong emphasis on prostate cancer biology and clinical applications. The successful candidate will contribute to the discovery of clinically meaningful molecular signatures that advance disease stratification, prognosis, and diagnostic development, communicating the results of their work to scientists and clinicians.

This position is an excellent opportunity to work at the intersection of data science, biology, and clinical research, collaborating closely with scientists, clinicians, and cross‑functional partners to translate complex data into impactful insights.

• Analyze gene expression, transcriptomic, and next‑generation sequencing data applying state‑of‑the‑art statistical and machine‑learning methods to derive biological and clinical insights, with a primary focus on prostate cancer cohorts from clinical and research studies.
• Design, train, and evaluate supervised and unsupervised machine‑learning models to predict disease subtypes, biological and clinical endpoints, and clinically actionable genomic signatures across multiple disease areas.
• Document methods, analyses, and results to support reproducibility and regulatory‑grade research standards.
• Translate findings into presentations, abstracts, and publication to be presented to internal teams as well as external collaborators, including academic researchers, clinicians, and commercial partners.
• Collaborate closely with multidisciplinary teams to support research initiatives that inform product development and scientific strategy.

• PhD in Cancer Biology, Bioinformatics, Statistics or related field, or M.Sc. with 3‑4 years of relevant post‑graduate experience (postdoc or industry).
• Deep familiarity with cancer genomics, pathology, or clinical management (prostate cancer preferred).
• Hands‑on experience analyzing transcriptomics and NGS data.
• Expertise in R programming and data analysis.
• Strong proficiency in feature reduction techniques and visualization (e.g., U‑MAP), supervised and unsupervised learning algorithms, and model performance evaluation.
• Hands‑on experience with cloud computing architecture (AWS preferred).
• Strong problem‑solving skills and intellectual curiosity, with a desire to learn new disease biology and clinical concepts.
• Excellent communication skills, with experience presenting or discussing scientific results in collaborative settings.
• Location:
  
  Remote friendly position in US or Canada. On‑site office available in South San Francisco or San Diego.

For candidates based in our San Diego office, the salary (or hourly range) is $122,000 - $166,000. For candidates based in our South San Francisco office, the salary or hourly range is $152,000 - $170,000.

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…