Senior Scientist, Computational Biology

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

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

Experience building and maintaining production bioinformatics workflows (e.g.

Nextflow), comfort with containerized environments (Docker) and cloud computing platforms (AWS)

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.

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

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. A Summary of Benefits is available for all applicants. 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.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

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.

You will work closely with wet-lab scientists, AI/ML scientists, automation engineers, and disease biology teams to develop scalable perturbation workflows, implement new technologies, and drive high-quality data generation and experimental innovation across multiple therapeutic areas.

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