Bioinformatics Research Scientist II

About the role

The Bioinformatics Research Scientist II position within Veracyte's Translational Bioinformatics group focuses on applying computational and statistical methods to large-scale transcriptomic and genomic datasets, particularly in prostate cancer biology and clinical applications. The role involves discovering clinically meaningful molecular signatures that can advance disease stratification, prognosis, and diagnostic development, and communicating these findings to scientists and clinicians.

Responsibilities

• Analyze gene expression, transcriptomic, and next-generation sequencing data using 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 publications to be shared with internal teams and 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.

Requirements

• 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.

Qualifications

• 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.

Skills

• Proficiency in R programming and data analysis.
• Experience with cloud computing architecture (AWS preferred).
• Strong problem-solving skills and intellectual curiosity.
• Excellent communication skills.

Benefits

• Competitive compensation and benefits.
• Opportunities for professional growth and development.
• A supportive and inclusive workplace culture.
• Recognition and rewards for exceptional performance.

Pay

• Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work.
• 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.
• This role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Schedule

• This is a remote friendly position in US or Canada.
• On-site office available in South San Francisco or San Diego.