We are working with a visionary, globally oriented research organization that is developing foundation models to advance science across biology, physics, and chemistry. This trailblazing team is focused on transforming drug discovery and related fields through cutting-edge AI and computational techniques. They are looking for outstanding researchers to join their multidisciplinary team starting in 2025-a unique opportunity for early-career scientists to kickstart their careers, pursue bold ideas, and achieve limitless growth.
Position Overview
Our client is seeking talented PhD candidates and early-career researchers to drive innovation in AI for Science and computational protein design. In this role, you will replicate and assess emerging AI/ML methods using public benchmarks and databases, collaborate closely with experts in drug discovery, and communicate complex computational models to diverse audiences.
Key Responsibilities
- Method Replication & Evaluation: Replicate and assess emerging AI/ML methods using public benchmarks and databases.
- Collaborative Innovation: Work with a multidisciplinary drug discovery team to apply inventive algorithms to cutting-edge challenges.
- Literature Engagement: Stay updated with the latest scientific research in AI, machine learning, and related domains.
- Technical Communication: Clearly communicate and elucidate computational models and AI techniques to stakeholders across various disciplines.
Qualifications
- Educational Background: Currently pursuing a Ph.D. in Computer Science, Electrical/Computer Engineering, or a related field.
- Research Excellence: Demonstrated strong research background in AI and machine learning, evidenced by publications at top-tier conferences (e.g., ICML, NeurIPS, ICLR) and journals.
- Domain Expertise: Experience in areas such as large language models, diffusion models, geometric deep learning, natural language processing, computational protein design, or protein structure prediction.
- Technical Skills: Proficient in Python programming and experienced with deep learning frameworks such as PyTorch.
- Work Authorization: Must secure and maintain work authorization in the country of employment upon hiring.
