Associate Director, Computational Biology (Oncology)

Location: Salt Lake City, Utah, United States; office-based hybrid work with at least 50% of working time in the office

Annual base salary: $200,000–$220,500, plus annual bonus, equity compensation, and comprehensive benefits.

Company

hirify.global is a clinical-stage TechBio company using AI, multimodal biological data, and an end-to-end drug discovery platform to develop medicines across oncology, rare disease, neuroscience, and immunology.

What you will do

• Lead a team of computational biologists and data scientists focused on oncology target discovery and therapeutic advancement.
• Evaluate molecular evidence, nominate and validate targets, and identify novel vulnerabilities in disease biology.
• Pilot computational methods for target discovery, disease biology validation, and early patient population hypotheses.
• Define criteria for target data packages and early patient population strategies.
• Connect analytical methods with platform and engineering teams to scale discovery capabilities.
• Collaborate with biologists, medicinal chemists, translational experts, and clinical leads to support program milestones and portfolio decisions.

Requirements

• PhD in computational biology, bioinformatics, cancer biology, immuno-oncology, or a related field with 3+ years of biotech or pharmaceutical industry experience; or a relevant MS with 5+ years of industry experience in early drug discovery.
• Domain expertise in oncology or immunological diseases, including patient genetics and druggability of disease-relevant pathways.
• Experience applying probabilistic, statistical, or machine learning methods to complex biological or clinical data.
• Proficiency with a high-level programming language such as Python or R, plus exceptional data visualization skills.
• Experience managing and developing direct reports in a scientific or technical environment.
• Strong cross-functional communication skills and the ability to explain complex scientific concepts through plots, documents, and presentations.

Nice to have

• Experience building a target discovery engine in oncology or immunological diseases.
• Experience designing high-throughput CRISPR or small-molecule perturbation screens.
• Exposure to translational or clinical development programs and target validation model selection.

Culture & Benefits

• Collaborative environment spanning computational biology, data science, platform engineering, biology, chemistry, translational science, and clinical development.
• Culture focused on scientific rigor, bold experimentation, continuous learning, ownership, and accountability.
• Annual bonus, equity compensation, and comprehensive benefits package.
• AI-assisted application review is used alongside human recruiter and hiring-manager decisions.