AI Scientist

Job not on LinkedIn

October 24

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

💵 $120k - $240k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

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Xaira Therapeutics

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Biotechnology • Artificial Intelligence • Pharmaceuticals

Xaira Therapeutics is an innovative biotechnology startup focused on leveraging artificial intelligence for drug discovery and development. Launched with a massive initial funding of $1 billion, the company is positioned to transform the biotech industry by utilizing AI technologies to enhance research and development processes. With backing from prominent biopharma investors and leaders such as Marc Tessier-Lavigne, Xaira aims to deliver transformative medicines through advanced AI methodologies. The company has been recognized as a leading startup, making significant inroads in the biotech sector.

51 - 200 employees

🧬 Biotechnology

🤖 Artificial Intelligence

💊 Pharmaceuticals

📋 Description

• Initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development • Collaborate with interdisciplinary experts with world-class biology, drug discovery, and clinical expertise • Contribute to developing state of the art AI models in the core AI team

🎯 Requirements

• Track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields • Experienced in developing and implementing new deep learning methods • Experienced in PyTorch, training and inference of large models on GPUs • Scientifically curious with an interest to work on interdisciplinary teams • PhD in Computer Science/Artificial Intelligence/ Machine Learning or related technical fields • 3+ years of work experience post-PhD in an industrial setting or equivalent academic post-doctoral experience • Peer reviewed published research in developing AI methods • Experience in working at the interface of AI and Biology • Experience working on large scale distributed training and inference • Experience communicating research for public audiences of peers • Participation in the open-source community

🏖️ Benefits

• Competitive compensation and benefits package • Open, flexible, and friendly work environment • Opportunities for professional development • Bonus and equity options