Senior Computational Biologist – Early Discovery Immunology (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 annual base salary in New York City or $151,800–$200,600 annual base salary in Salt Lake City, plus annual bonus, equity compensation, and benefits

Company

hirify.global is a clinical-stage TechBio company using the AI-native hirify.global OS and multimodal biological data to accelerate drug discovery and development.

What you will do

• Evaluate molecular evidence to nominate and validate therapeutic targets in immunology and inflammatory disease biology.
• Pilot methods for target discovery, disease biology validation, and early patient population hypotheses.
• Define criteria for target data packages and early patient population strategies.
• Connect analysis methods with platform and engineering teams to scale target discovery capabilities.
• Collaborate with biologists, medicinal chemists, translational experts, data scientists, engineers, and portfolio leads.
• 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 with 5+ years of relevant industry experience.
• Experience solving fundamental problems 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 or R.
• Exceptional 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.
• Exposure to advancing drug programs from proof of concept to IND.

Culture & Benefits

• Collaborative environment spanning computational drug discovery, biology, chemistry, translational science, and engineering.
• Focus on career development and working at the intersection of biology and technology.
• Technical feedback and support across a diverse, cross-functional organization.
• Annual bonus, equity compensation, and a comprehensive benefits package.
• Values emphasize scientific integrity, ownership, active learning, urgency, and cross-functional collaboration.