AI Scientist Intern, Computational Protein Design
Join Xaira Therapeutics as an AI Scientist Intern to advance AI models for protein and antibody therapeutic design.
Posted by employer 2 weeks ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
AI in the day-to-day
Developing generative AI models for protein and antibody therapeutic design.
Requirements
- Education
- Master's degree
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of AI Scientist Intern at Xaira Therapeutics, the intern will engage in developing and applying deep learning techniques to enhance protein and antibody design, directly impacting drug discovery efforts. Proficiency in PyTorch and experience with GPU model training are essential, alongside a strong academic background in computer science or machine learning. This position is ideal for graduate students or early-career professionals eager to explore the intersection of AI and biology within a collaborative, innovative biotech environment.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Xaira Therapeutics's career page.
- Xaira Therapeutics has 23 other open roles including Principal Scientist, Biology, Senior/ Staff AI Research Engineer, Lab Software Engineer.
- 5144 active AI/ML roles on Joblaze right now.
- 479 active PyTorch roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends
Quick facts
- What's the salary range?
- Xaira Therapeutics lists $10,000–$15,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, PyTorch.
- What seniority level is this role?
- Xaira Therapeutics targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this AI Scientist Intern, Computational Protein Design role at Xaira Therapeutics.
From the original posting
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.
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