AI Scientist, BioMedical AI
Join Xaira Therapeutics as an AI Scientist to develop AI models for drug discovery and single-cell biology.
Posted by employer 9 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Developing and applying foundation models to large-scale datasets to uncover biological mechanisms and therapeutic opportunities.
Requirements
- Education
- PhD
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the AI Scientist at Xaira Therapeutics will focus on developing and applying foundation models to analyze large-scale perturb-seq and single-cell datasets, aiming to uncover new biological mechanisms and therapeutic opportunities. Key skills include expertise in single-cell data analysis, proficiency in Python, and experience with machine learning frameworks like PyTorch or TensorFlow. This position is ideal for someone with a PhD in a relevant field and a strong background in computational biology or bioinformatics. Xaira, a biotech startup, emphasizes collaboration between computational and experimental teams to drive innovative drug discovery.
Joblaze insights
- Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Xaira Therapeutics's careers page November 8, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 70% of 211 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 72 companies). See Python salary trends
- Python appears in 53% of 557 comparable senior ai/ml roles in United States; bioinformatics appears in 0.7% of 557 comparable senior ai/ml roles in United States.
Quick facts
- Is the AI Scientist, BioMedical AI role remote?
- It's hybrid — Xaira Therapeutics expects some on-site time in South San Francisco, California, United States.
- What's the salary range?
- Xaira Therapeutics lists $212,000–$265,000 for this role.
- Where is the role based?
- Xaira Therapeutics is hiring for this position in South San Francisco, California, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Machine Learning, PyTorch, Python, Scanpy, Seurat, TensorFlow.
- What seniority level is this role?
- Xaira Therapeutics targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Scientist, BioMedical AI role at Xaira Therapeutics.
From the original posting
About Xaira Therapeutics
About the Role
We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities.
Key Responsibilities
- Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets.
Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data. - Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.
- Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.
- Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.
- Publish methods and results in top scientific journals and present at conferences.
Qualifications
- PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.
- Strong expertise in single-cell data analysis, particularly perturb-seq
- Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).
- Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).
- Experience in developing scalable ML methods for large biological datasets.
Preferred
- Background in causal inference, generative models, or representation learning for biological systems.
- Familiarity with multi-omics integration and cross-modal foundation models.
- Track record of impactful publications in computational biology, machine learning, or related fields.
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. 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 $252,000 - $308,000 annually with a total cash compensation up to $296,100 - $361,900; however, the compensation offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Standard company text repeated across Xaira Therapeutics's postings is omitted here.