Bioinformatics Research Scientist II

1w1 week ago

Veracyte

San Diego, US · Full-time · $122,000 – $170,000

About this role

Veracyte offers exciting career opportunities to join a pioneering team committed to transforming cancer care globally. The Bioinformatics Research Scientist II position in the Translational Bioinformatics group focuses on computational and statistical methods for large-scale transcriptomic and genomic datasets, emphasizing prostate cancer biology and clinical applications.

This role contributes to discovering clinically meaningful molecular signatures for disease stratification, prognosis, and diagnostics. Communicate results to scientists and clinicians while working at the intersection of data science, biology, and clinical research.

Collaborate closely with scientists, clinicians, and cross-functional partners to translate complex data into impactful insights. The environment follows the Veracyte way, guided by values like seeking a better way, making it happen, being stronger together, and caring deeply.

Employees make a meaningful impact on patients' lives and learn and grow in a purpose-driven setting. Innovate boldly, act with urgency, collaborate openly, and embrace differences to advance 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.

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, focusing on prostate cancer cohorts.
Design, train, and evaluate supervised and unsupervised machine learning models to predict disease subtypes, biological and clinical endpoints, and clinically actionable genomic signatures.
Document methods, analyses, and results to support reproducibility and regulatory-grade research standards.
Translate findings into presentations, abstracts, and publications for 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.

Benefits

Make a meaningful impact on the lives of patients.
Learn and grow within a purpose-driven environment.
Work guided by values: We Seek A Better Way, We Make It Happen, We Are Stronger Together, We Care Deeply.