Xaira Therapeutics
Senior Scientist, Computational Biology
South San Francisco, California, United States · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$11,742 more — $147,742 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $147,742 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Biological Scientists, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Biological Scientists, All Other (19-1029) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Xaira is seeking a highly motivated and experienced Senior Scientist to join our Computational Biology team with a focus on supporting large-scale single-cell perturbation screens.
- The ideal candidate will bring deep expertise in single-cell RNA sequencing, Perturb-seq, and a proven track record of processing and integrating large-scale datasets from multiple experimental sources.
- This position offers the opportunity to contribute to cutting-edge efforts at the intersection of functional genomics, machine learning, and disease biology.
Responsibilities
- Own end-to-end computational analysis of Perturb-seq datasets, spanning quality control, biological interpretation, and translation of large-scale single-cell data into actionable insights for therapeutic discovery and AI/ML modeling
- Design and implement standardized analytical frameworks for integrating Perturb-seq data across diverse experimental contexts, such as cell types, library designs, and sequencing platforms, to enable reliable cross-source analysis
- Build and maintain scalable, production-grade bioinformatics pipelines, with an emphasis on reproducibility, modularity, and performance at the scale of large perturbation screens
- Integrate Perturb-seq data with complementary omics modalities, including CITE-seq, ATAC-seq, spatial transcriptomics, as well as external reference datasets, to enrich biological context and support multi-modal analyses
- Partner closely with AI/ML scientists to ensure data products meet modeling requirements, and collaborate with wet-lab scientists to translate experimental design into optimal computational workflows
- Manage code repositories, maintain versioned and documented workflows, and uphold computational environment standards that ensure long-term pipeline reliability
- Our goal to build a diverse and inclusive team began on day one, and it will never end.
Requirements
- Demonstrated ability to integrate heterogeneous datasets from multiple sources, with a strong command of batch correction, normalization, and quality control strategies tailored to large-scale perturbation experiments
- Strong software engineering fundamentals: proficiency in Python (numpy, pandas, scanpy, scikit-learn), fluency in Unix environments, and experience with version control and collaborative software development via GitHub.
- Excellent analytical, organizational, written, and verbal communication skills, with the ability to thrive in fast-paced, highly collaborative environments focused on scientific innovation
- Ph.D. in Computational Biology, Bioinformatics, Genomics, or a related quantitative field, with 5+ years of relevant industry and/or applied research experience (candidates with fewer years are also encouraged to apply and job level can be adjusted as appropriate)
- Deep expertise in single-cell RNA sequencing analysis with substantial hands-on experience in Perturb-seq or CRISPR-based perturbation screen data, including thorough familiarity with the full processing stack from raw reads to interpretable outputs
- Experience building and maintaining production bioinformatics workflows (e.g. Nextflow), comfort with containerized environments (Docker) and cloud computing platforms (AWS)
- Working knowledge of statistical and machine learning methods applied to biological data, with the ability to critically evaluate analytical choices and collaborate effectively with AI/ML teammates
- Demonstrated ability to independently lead scientific initiatives, drive cross-functional collaboration, and communicate quantitative results to both wet lab and computational audiences
Skills
- About Xaira Therapeutics
- Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development.
- Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development.
- Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
Compensation
- We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers.
- We offer a competitive package that includes base salary, bonus, and equity.
- The base pay range for this position is expected to be $136,000 - $170,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Benefits
- A Summary of Benefits is available for all applicants.
This listing is sourced directly from Xaira Therapeutics's careers page and normalized into a canonical job model.