Senior Computational Biologist (Immunology)

Location: Hybrid, office-based in Salt Lake City, Utah or New York, New York; employees must work in the office at least 50% of the time.

Salary: $166,980–$220,660 annually in New York City; $151,800–$200,600 annually in Salt Lake City. The role is also eligible for an annual bonus and equity compensation.

Company

hirify.global is a clinical-stage TechBio company developing investigational medicines through an AI-native platform that integrates biology, chemistry, clinical development, and multimodal data.

What you will do

• Evaluate molecular evidence to nominate and validate therapeutic targets in immunology and inflammatory 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.
• Integrate analysis methods with platform and engineering teams to scale target discovery workflows.
• Collaborate with biologists, medicinal chemists, translational experts, portfolio leads, and computational scientists.
• Present analyses to decision-makers and stakeholders to support program milestones and investment decisions.

Requirements

• PhD in computational biology, bioinformatics, systems biology, immunology, or a related field with a strong computational focus and 3+ years of biotech or pharma experience, or an MS in a relevant field with 5+ years of industry experience in early drug discovery.
• Domain expertise in immunological diseases and target identification.
• Strong understanding of patient genetics and the druggability of disease-relevant pathways.
• Experience applying probabilistic, statistical, or machine learning methods to complex biological or clinical data using Python, R, or another high-level programming language.
• Strong data visualization and cross-functional scientific communication skills.

Nice to have

• Experience building target discovery engines using public and proprietary datasets.
• Experience designing high-throughput CRISPR or small-molecule perturbation screens.
• Experience advancing drug programs from proof of concept to IND.

Culture & Benefits

• Collaborative work across biology, chemistry, data science, engineering, and translational functions.
• Career development and technical feedback within a diverse computational drug discovery group.
• Annual bonus, equity compensation, and a comprehensive benefits package.
• Values emphasizing scientific integrity, rapid learning, ownership, accountability, and cross-functional collaboration.