AI in Residence

Xaira; South San Francisco (CA); Hybrid; USD 112,000 - 167,000; Part time

Job summary

Xaira Therapeutics is seeking exceptional ML/AI researchers to join the AI in Residence program, an industry alternative to a traditional postdoctoral position. You will work end-to-end on real biomedical problems, collaborating with AI scientists, research engineers, and drug discovery teams to deploy ML capabilities.

The program emphasizes technical depth, independence, and strong judgment, with mentorship and opportunities to publish, contribute to open-source, or ship production systems.

Qualifications

• Recent MS or PhD in ML/AI or related fields.
• Strong publications, artifacts, or shipped systems with impact.
• Proven ability to lead technical work with originality.
• Motivation to translate rigorous research into deployable AI systems.

Responsibilities

• Develop and advance ML models for biological and translational datasets.
• Design and implement scalable pipelines for data curation, training, evaluation, and inference.
• Evaluate robustness, uncertainty, and interpretability to support scientific decisions.
• Provide technical leadership and shape platform capabilities through collaboration.

Skills

Machine learning/AI

Computational biology

Research excellence

Leadership

Education

MS or PhD in ML/AI or related field

Tools

Python

ML frameworks

Job description

About Xaira Therapeutics

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. 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.

AI in Residence

AI in Residence is a highly selective role at the intersection of frontier machine learning and drug discovery. Designed as an industry alternative to a traditional postdoctoral position, the program is for exceptional researchers and engineers who want to apply advanced AI to real biomedical problems end to end, from data to deployed systems.

Residents join a small cohort working on high-impact AI efforts across Xaira. You’ll collaborate closely with AI scientists, research engineers, and drug discovery teams to design, build, and ship machine learning capabilities that directly influence therapeutic programs. This is hands‑on, system‑level work with real scientific consequence.

We’re looking for candidates with technical depth, intellectual independence, strong research judgment, and evidence of delivering high‑quality work—whether through publications, open‑source, or production systems.

What You’ll Do

• Develop and advance ML models for biological, preclinical, and translational datasets (e.g., multimodal omics, imaging, text, assay data)
• Design and implement scalable pipelines for data curation, training, evaluation, and inference integrated into discovery workflows
• Evaluate robustness and reliability (generalization, uncertainty, failure modes), plus interpretability where it supports scientific decision‑making
• Contribute technical leadership by proposing new directions, shaping platform capabilities, and raising engineering/research standards through collaboration

You Might Work On

Examples include (not limited to):

• Foundation / representation models over multimodal biological and translational data
• Methods for small, biased, noisy datasets; distribution shift; and uncertainty estimation
• ML systems for experimental prioritization, assay interpretation, or translational signal discovery
• Evaluation frameworks and benchmarks tailored to discovery decision‑making
• Tooling that makes models usable by scientists (interfaces, automation, monitoring)

What Success Looks Like

• You ship one or more models or pipelines that are used in real discovery workflows
• You raise the bar on evaluation rigor and reproducibility (strong baselines, error analysis, reliable metrics)You leave behind maintainable systems (tests, documentation, monitoring) that others can build on

We Value

• Strong research judgment: choosing the right problems and knowing what “good evidence” looks like
• Rigor: careful experimental design, ablations, error analysis, and honest reporting
• Systems thinking: reliability, scalability, and maintainability—not just prototypes
  Clear communication: writing, documentation, and sharing decisions/assumptions
• Collaborative execution with scientific and engineering partners

Program Structure

Duration

6–12 months

Start Dates

Currently accepting applications for Fall 2026 and Winter/Spring 2027 starts.

Cohort Size

Small, highly selective cohort to enable meaningful ownership and close collaboration

Mentorship & Support

Dedicated technical mentor, plus structured feedback from senior AI, engineering, and scientific leadership

Publications & Presentations

We value scientific contribution and may support publications and conference presentations when appropriate. Publication scope and timing depend on project needs and are subject to internal review (e.g., IP and confidentiality). Authorship follows standard contribution‑based guidelines.

The Company consents to Employee completing, publishing, and maintaining the manuscript and repositories listed on Exhibit A, including bona fide revisions during peer review, provided such work is performed on Employee's own time and equipment, uses no Company resources or Proprietary Information, and does not relate to the Company's business or actual or anticipated research and development. This consent extends only to rights held by Employee and does not address or affect any rights of third parties.

Who Should Apply

We encourage applications from candidates who meet most of the following:

• Recent MS or PhD graduates (or equivalent research experience) in ML/AI, computational biology, biomedical engineering, or related fields
• Evidence of research excellence through high‑quality publications or artifacts. Top venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL; Nature Methods, Cell Systems) are a plus, but strong preprints, open‑source contributions, or shipped systems with demonstrated impact are equally compelling
• Demonstrated ability to lead substantial technical work with originality—new modeling ideas, rigorous experiments, or production‑grade systems adopted by others
• Motivation to translate rigorous research into reliable, deployable AI systems that support therapeutic discovery

Compensation

The expected monthly compensation range is $10,000–$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact.

As set forth in Xaira Therapeutics’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.