Xaira Therapeutics

<div>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.</div>About the Role
As an AI Scientist Intern on our Computational Protein Design team, you will work alongside talented scientists and engineers developing generative AI models for protein and antibody therapeutic design. During your internship, you will contribute to advancing state-of-the-art machine learning models for biology, with a focus on impacting protein/antibody design and drug discovery. You will also have the opportunity to collaborate with interdisciplinary experts in biology, drug discovery, and clinical research.
Responsibilities
<ul>
<li>Develop and apply deep learning methods for protein/antibody structure, sequence, or property modeling, under the guidance and mentorship of experienced scientists and engineers</li>
<li>Implement and train models on GPUs using PyTorch</li>
<li>Contribute to ongoing research projects involving protein structure, sequence, or biophysical/affinity datasets</li>
<li>Participate in discussions to help generate innovative ideas for advancing AI methodologies in computational protein design</li>
<li>Document findings and communicate progress effectively to peers and mentors</li>
</ul>
Qualifications
<ul>
<li>Currently pursuing a MS or PhD in Computer Science, Machine Learning, or a related technical field, with strong publication record</li>
<li>Hands-on experience with PyTorch and training/inference of AI models on GPUs</li>
<li>Strong interest in AI innovation and its applications to interdisciplinary fields such as biology and chemistry</li>
<li>Extensive hands-on experience with deep learning methods and frameworks</li>
<li>Ability to work collaboratively in a team environment and learn from experienced mentors</li>
<li>A scientifically curious mindset with a passion for exploring new challenges</li>
<li>Experience with large-scale distributed training and inference is a plus</li>
<li>Exposure to molecular structure or biological sequence data or computational biology/bioinformatics is a plus, but not required</li>
<li>Prior research experience demonstrated through publications and/or significant open source code authorship</li>
<li>Interest in contributing to open-source deep learning libraries and frameworks is a plus</li>
</ul>
 
Internship Duration 3 months 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. This internship is designed to provide a unique learning experience, offering hands-on exposure to the intersection of AI and computational protein design while allowing you to contribute meaningfully to real-world projects.

AI Scientist Intern, Computational Protein Design

<div>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.</div><div>About the Role We are building foundation models for biological systems, focusing on learning from complex, multimodal data. Our approach combines representation learning and generative modeling to capture structure, variation, and latent organization in high-dimensional settings. We work with both image-based data and high-dimensional molecular (omics) measurements, treating them as complementary views of the same underlying system. Our goal is to develop models that can both encode rich representations and generate or infer missing aspects from partial observations. What You’ll Do</div>
<ul>
<li>Develop multimodal foundation models spanning image and molecular data</li>
<li>Design approaches that unify representation learning and generative modeling</li>
<li>Train large-scale models on structured, high-dimensional datasets</li>
<li>Explore cross-modal alignment, prediction, and generation</li>
<li>Build scalable systems for data processing, training, and evaluation</li>
<li>Work in a research-driven environment with evolving problem definitions</li>
</ul>
<div> What We’re Looking For </div>
<div>Strong background in deep learning, especially in modern architecture</div>
<ul>
<li>Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)</li>
<li>Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)</li>
<li>Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)</li>
</ul>
<div>Relevant Experience</div>
<ul>
<li>Work on multimodal learning or cross-domain representation learning</li>
<li>Experience with image data, molecular / omics-like data, or both</li>
<li>Familiarity with large-scale training</li>
</ul>
<div>Bonus</div>
<ul>
<li>Exposure to biological or scientific datasets</li>
<li>Experience with paired or partially aligned multimodal data</li>
<li>Comfortable working in open-ended, evolving problem spaces</li>
</ul>
 
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 $170,000 - $240,000 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.

AI Scientist - Biomedical Multimodal Modeling

<div>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.</div>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
<ul>
<li>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.</li>
<li>Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.</li>
<li>Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.</li>
<li>Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.</li>
<li>Publish methods and results in top scientific journals and present at conferences. </li>
</ul>
Qualifications
<ul>
<li>PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.</li>
<li>Strong expertise in single-cell data analysis, particularly perturb-seq </li>
<li>Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).</li>
<li>Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).</li>
<li>Experience in developing scalable ML methods for large biological datasets. </li>
</ul>
Preferred
<ul>
<li>Background in causal inference, generative models, or representation learning for biological systems.</li>
<li>Familiarity with multi-omics integration and cross-modal foundation models.</li>
<li>Track record of impactful publications in computational biology, machine learning, or related fields.</li>
</ul>
 
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 $212,000 - $265,000 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.

AI Scientist, BioMedical AI

<div>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.</div>About the Role We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.
This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.
Key Responsibilities
<ul>
<li>Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.</li>
<li>Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.</li>
<li>Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.</li>
<li>Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.</li>
<li>Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.</li>
<li>Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.</li>
<li>Evaluate robustness, reliability, and interpretability of autonomous systems in high-stakes biomedical settings.</li>
</ul>
Qualifications
<ul>
<li>Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.</li>
<li>Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.</li>
<li>Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).</li>
<li>Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).</li>
<li>Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).</li>
</ul>
Preferred
<ul>
<li>Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.</li>
<li>Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.</li>
<li>Understanding of privacy, security, and regulatory considerations in healthcare AI.</li>
</ul>
 
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 $227,000 - $295,000 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.

BioMedical AI Research Engineer

<div>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.</div>About the Role
As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertise.
We welcome candidates with diverse backgrounds and experiences. Whether you are an entry-level candidate eager to learn and grow, a mid-level professional seeking new challenges, or a seasoned expert looking to make a significant impact, we encourage you to apply. 
Qualifications
<ul>
<li>Track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields</li>
<li>Experienced in developing and implementing new deep learning methods</li>
<li>Experienced in PyTorch, training and inference of large models on GPUs</li>
<li>Scientifically curious with an interest to work on interdisciplinary teams</li>
<li>PhD in Computer Science/Artificial Intelligence/ Machine Learning or related technical fields</li>
<li>3+ years of work experience post-PhD in an industrial setting or equivalent academic post-doctoral experience</li>
<li>Peer reviewed published research in developing AI methods (example in ICLR, NeurIPS, ICML, Nature, Science, Cell etc.)</li>
<li>Experience in working at the interface of AI and Biology</li>
<li>Experience working on large scale distributed training and inference</li>
<li>Experience communicating research for public audiences of peers</li>
<li>Participation in the open-source community</li>
</ul>
 
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 $198,000 - $308,000 annually with a total cash compensation up to $228,000 - $362,000; however, the compensation offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Xaira Therapeutics is 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.

Xaira Therapeutics

Open jobs at Xaira Therapeutics

AI Scientist Intern, Computational Protein Design

AI Scientist - Biomedical Multimodal Modeling

AI Scientist, BioMedical AI

BioMedical AI Research Engineer

AI Scientist, Computational Protein Design

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