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
Requirements
- 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
- Prior research experience demonstrated through publications and/or significant open source code authorship
Skills
- PyTorch
- Deep learning methods
- AI models
- Protein/antibody structure modeling
- Protein/antibody sequence modeling
- Protein/antibody property modeling
- Large-scale distributed training and inference
- Molecular structure data
- Biological sequence data
- Computational biology
- Bioinformatics
- Open-source deep learning libraries and frameworks
Location
- San Francisco Bay Area
- Seattle
- London
Work Type
- Internship
Experience Level
- Intern
Education Level
- MS or PhD
Salary/Compensations
- $120,000–$180,000
Benefits
- Unique learning experience
- Hands-on exposure to the intersection of AI and computational protein design
- Opportunity to contribute meaningfully to real-world projects
About the Company
- 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.
