Scientist, Computational Biology

Location: Palo Alto, California, United States; minimum 3 days onsite per week

Base salary: $135,000–$186,500 per year, plus eligibility for an annual discretionary bonus

Company

hirify.global is an independent nonprofit research organization combining artificial intelligence and biology to accelerate scientific progress and understand the causes of complex diseases. The institute partners with Stanford University, UC Berkeley, and UC San Francisco.

What you will do

• Analyze large-scale Perturb-seq, single-cell sequencing, multi-omic, and functional genomics datasets.
• Identify functional relationships between genes, regulatory programs, and cellular phenotypes.
• Apply guide assignment, perturbation-effect estimation, interaction modeling, or microglial trajectory and cell-state analysis, depending on the selected track.
• Collaborate with experimental scientists on study design, interpretation, validation, and testable biological hypotheses.
• Develop analysis notebooks, dashboards, software tools, benchmarks, and data resources for complex biological datasets.
• Present findings, contribute to preprints or open-source projects, and mentor colleagues and interns.

Requirements

• PhD in computational biology, bioinformatics, genomics, systems biology, machine learning, computer science, molecular biology, or a related field, plus 0–4 years of postdoctoral or professional research experience.
• Demonstrated experience deriving biological insight from large-scale single-cell, perturbational, or multi-omic datasets.
• Expertise in either Perturb-seq/CRISPR screen analysis at scale or single-cell analysis of microglia in neurodegeneration and Alzheimer's disease biology.
• Python proficiency and experience with modern scientific computing and data analysis ecosystems.
• Familiarity with reproducible workflows, version control, and high-performance or cloud computing.
• Ability to work at least 3 days onsite in the Palo Alto office.

Nice to have

• Background in cell identity, reprogramming, RNA biology, cell engineering, neurobiology, immunology, cancer biology, or complex disease genetics.
• Experience with dimensionality reduction and gene module analysis for single-cell biology.
• Experience in a startup, technology center, research institute, or highly collaborative environment.

Culture & Benefits

• Work in a mission-driven, open-science research institute.
• Collaborate across experimental biology, computational biology, machine learning, and bioinformatics infrastructure.
• Access long-term research funding and industry-like resources without commercial pressure.
• Contribute to the Virtual Cell and Alzheimer's Disease Initiatives.