# Scientist II, Genomic Core at Xaira

- Company: Xaira
- What the company does: We’re pioneering the discovery and development of life-changing medicines through the transformative power of artificial intelligence. Backed by Lightspeed, NEA and Sequoia.
- Company website: https://xaira.com/
- Type: Startups
- Level: Mid level
- Location: South San Francisco, California, United States
- Work setup: On-site
- Pay: $124K to $155K base salary per year (USD)
- Posted: 2026-07-23
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/xairatherapeutics/jobs/5194617007
- Page: https://www.1752.vc/careers/jobs/xaira-scientist-ii-genomic-core/

## About the role

As a Scientist II on Xaira's Genomics Core team within the High Throughput Biology organization, you will play a key role in generating high-quality sequencing data that powers our discovery platform and AI-driven research. You will serve as a technical leader responsible for designing, developing, optimizing, and executing next-generation sequencing (NGS) workflows, with a primary focus on Illumina sequencing platforms, including MiSeq, NextSeq, and NovaSeq.

## What they're looking for

- Ph.D. in Functional Genomics, Molecular Biology, Genetics, Genomics, or a related discipline with 2+ years of industry experience, or M.S./B.S. with equivalent industry experience
- Extensive hands-on experience operating Illumina sequencing platforms, including MiSeq, NextSeq, and NovaSeq
- Extensive hands-on experience with 10x Genomics workflows: 3’, 5’, ATAC, Multiome, Flex, etc
- Strong expertise in next-generation sequencing library preparation, including single-cell RNA-seq, bulk RNA-seq, CRISPR-based sequencing assays, and targeted sequencing workflows
- Demonstrated experience supporting CRISPR-based genomics workflows, including Perturb-seq, pooled CRISPR screens, guide sequencing, or related functional genomics applications
- Demonstrated ability to independently design, optimize, troubleshoot, and execute complex genomics experiments with minimal supervision

Tags: High Throughput Biology
