Principal Scientist – GEM Molecular Validation & Technologies (AI)

Location: US - California - South San Francisco

Salary: USD 165,636.95–224,097.05 annually

Company

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

What you will do

• Develop and execute molecular characterization strategies for knockout, knock-in, conditional, transgenic, humanized, and complex multi-allelic genetically engineered models.
• Design, validate, and troubleshoot qPCR, multiplex ddPCR, Oxford Nanopore long-read sequencing, NGS, and other molecular assays.
• Characterize engineered alleles for sequence and structural integrity, copy number, zygosity, mosaicism, insertion sites, off-target effects, and unintended editing events.
• Build scalable computational, bioinformatics, automation, and AI-enabled workflows for sequencing analysis, model design, data interpretation, and reporting.
• Establish QC standards, SOPs, documentation, traceability, and high-throughput workflows for GEM characterization.
• Collaborate with Comparative Medicine, Therapeutic Area, Functional Genomics, computational teams, and external partners to resolve complex model questions.

Requirements

• Doctorate degree in Molecular Biology, Genetics, Cell Biology, Bioinformatics, or a related discipline plus 2 years of relevant experience; or a master’s degree plus 5 years; or a bachelor’s degree plus 7 years.
• Extensive experience with genetically engineered models, genome engineering, and molecular characterization.
• Hands-on expertise in qPCR, multiplex ddPCR, Oxford Nanopore long-read sequencing, NGS, and sequencing-based characterization.
• Experience with CRISPR/Cas9 model design and generation, engineered-allele validation, and off-target assessment.
• Experience with bioinformatics, computational sequencing workflows, programming—particularly Python—and high-throughput molecular automation.
• Role location is US - California - South San Francisco.

Nice to have

• Experience with in vivo GEMs and engineered cell systems, including ESCs, iPSCs, or HSPCs.
• Experience with quantitative expression approaches such as RT-ddPCR.
• Experience evaluating or implementing AI-enabled approaches for scientific analysis, model design, data interpretation, or workflow automation.

Culture & Benefits

• Collaborative, innovative, science-based working environment focused on serving patients.
• Health, dental, vision, life, disability, and flexible spending benefits.
• Retirement and savings plan with company contributions.
• Annual bonus program and stock-based long-term incentives.
• Paid time-off plans and career development opportunities.
• Flexible work models may be available where applicable; sponsorship is not guaranteed.