Level

Xaira Therapeutics

AI Scientist Intern, Computational Protein Design

Xaira Therapeutics is hiring an AI Scientist Intern, Computational Protein Design in Seattle and South San Francisco, United States. Level rates it ; you can apply on Xaira Therapeutics.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions PyTorch, GPUs and deep learning among its tools and skills.
  • Level classes it as an internship.
  • Xaira Therapeutics has 30 other open roles on Level.

AI in this role

Develop generative AI models and deep learning methods for computational protein and antibody design as an intern.

pytorchgpus
deep-learningcomputational-biologyprotein-designgenerative-ai

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.

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

  • Develop and apply deep learning methods for protein/antibody structure, sequence, or property modeling, under the guidance and mentorship of experienced scientists and engineers
  • Implement and train models on GPUs using PyTorch
  • Contribute to ongoing research projects involving protein structure, sequence, or biophysical/affinity datasets
  • Participate in discussions to help generate innovative ideas for advancing AI methodologies in computational protein design
  • Document findings and communicate progress effectively to peers and mentors

Qualifications

  • Currently pursuing a MS or PhD in Computer Science, Machine Learning, or a related technical field, with strong publication record
  • Hands-on experience with PyTorch and training/inference of AI models on GPUs
  • Strong interest in AI innovation and its applications to interdisciplinary fields such as biology and chemistry
  • Extensive hands-on experience with deep learning methods and frameworks
  • Ability to work collaboratively in a team environment and learn from experienced mentors
  • A scientifically curious mindset with a passion for exploring new challenges
  • Experience with large-scale distributed training and inference is a plus
  • Exposure to molecular structure or biological sequence data or computational biology/bioinformatics is a plus, but not required
  • Prior research experience demonstrated through publications and/or significant open source code authorship
  • Interest in contributing to open-source deep learning libraries and frameworks is a plus

 

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.

How we rate this

AI Scientist Intern, Computational Protein Design at Xaira Therapeutics rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deep learningComputational BiologyProtein DesignGenerative AIPyTorchGPUs

Questions you could be asked

  1. Tell me about a project where deep learning was part of your work. What did you do?
  2. Tell me about a project where computational biology was part of your work. What did you do?
  3. Tell me about a project where protein design was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Deep learning, Computational Biology, Protein Design, Generative AI, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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