Bioinformatics Research Scientist II

TL;DR

Bioinformatics Research Scientist II (Bioinformatics/ML): Analyze gene expression, transcriptomic, and NGS data to derive biological and clinical insights for prostate cancer cohorts, with an accent on supervised/unsupervised machine learning and clinically actionable genomic signatures. Focus on building and evaluating predictive models, documenting reproducible methods for regulatory-grade research, and translating results into presentations and publications for scientific and clinical stakeholders.

Location: Remote friendly in US or Canada; on-site office available in South San Francisco or San Diego, California, United States.

Salary: $122,000 — $170,000 USD (varies by office location).

Company

hirify.global is a global diagnostics company transforming cancer care using genomic and clinical insights.

What you will do

• Analyze gene expression, transcriptomic, and next-generation sequencing data using advanced statistical and machine-learning methods for biological and clinical insights, focused on prostate cancer cohorts.
• Design, train, and evaluate supervised and unsupervised machine learning models to predict disease subtypes, 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 (academics, clinicians, commercial partners).
• Collaborate 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 and clinical management (prostate cancer preferred).
• Hands-on experience analyzing transcriptomics and NGS data.
• Expertise in R programming and data analysis.
• Strong experience with feature reduction, visualization (e.g., U-MAP), and supervised/unsupervised learning with model performance evaluation.
• Location requirement: remote friendly in US or Canada; on-site options in South San Francisco or San Diego.

Culture & Benefits

• Remote-friendly role with available on-site offices in South San Francisco and San Diego.
• Competitive compensation with potential discretionary bonuses/incentives and restricted stock units.
• Benefits and an inclusive, purpose-driven environment focused on transforming cancer care.
• Recognized as a Certified Great Place to Work in the US and Israel (2024).