Scientist, Integrated Computational and Experimental Inflammation Discovery (AI)

Location: On site in South San Francisco, California, United States

Salary: $123,052.80–$166,483.20 annually

Company

hirify.global is a biotechnology company developing medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.

What you will do

• Design, execute, analyze, and interpret wet-lab studies investigating inflammation biology, disease mechanisms, and therapeutic hypotheses.
• Apply computational, AI-enabled, and data-analytic approaches to analyze and integrate omics data.
• Combine experimental findings with published literature, human genetics, clinical observations, and internal or external datasets.
• Support target identification, validation, prioritization, and progression within inflammation discovery programs.
• Develop solutions to advanced technical problems and manage defined project components with minimal supervision.
• Present scientific recommendations and collaborate with wet-lab, computational, translational, and drug-discovery partners.

Requirements

• Doctorate degree, or a master's degree with 2 years of relevant experience, or a bachelor's degree with 4 years of relevant experience.
• Relevant fields include immunology, cell biology, molecular biology, pharmacology, biomedical sciences, computational biology, or bioengineering.
• Hands-on experience independently designing, troubleshooting, and interpreting wet-lab experiments in inflammation biology.
• Experience with spatial transcriptomics or multimodal omics data integration.
• Proficiency in Python or R for omics data analysis and visualization, including evaluation of AI-enabled analytical outputs.
• Strong scientific communication, independent working, and cross-functional collaboration skills.

Culture & Benefits

• Collaborative, innovative, science-based working environment.
• Health, dental, vision, life, disability, and flexible spending benefits.
• Retirement and savings plan with company contributions.
• Discretionary annual bonus and stock-based long-term incentives.
• Paid time off and career development opportunities.