Senior Deep Learning Scientist - Brain AI for Biotech

DeepRec.ai; New Haven (CT); On-site; USD 160,000 - 250,000; Full time

Job summary

A cutting-edge biotech startup is seeking a Senior Deep Learning Scientist to revolutionize the understanding of neurological diseases through innovative AI models. This role involves designing deep learning architectures tailored to complex biological data, optimizing models for high-performance environments, and collaborating with interdisciplinary teams. The ideal candidate will hold a Ph.D. in a related field with significant deep learning experience. This position offers a competitive salary ranging from $160,000 to $250,000 and is onsite in New Haven, Connecticut.

Qualifications

• Strong demonstrated track record of applying deep learning to biological problems.
• Ability to translate conceptual research frameworks into deployable architectures.
• Comfort working across research and applied implementation.

Responsibilities

• Design, develop, and deploy state-of-the-art deep learning models for analyzing multi-modal biological data.
• Work closely with interdisciplinary teams to integrate multi-modal datasets.
• Publish research findings and present at scientific conferences.

Skills

Experience with GNNs

Expertise in PyTorch

Familiarity with cloud computing

Experience in high-performance computing

Research and implement deep learning architectures

Education

PhD or Post-doc in Computer Science or related STEM field

Job description

A cutting-edge biotech startup is seeking a Senior Deep Learning Scientist to revolutionize the understanding of neurological diseases through innovative AI models. This role involves designing deep learning architectures tailored to complex biological data, optimizing models for high-performance environments, and collaborating with interdisciplinary teams. The ideal candidate will hold a Ph.D. in a related field with significant deep learning experience. This position offers a competitive salary ranging from $160,000 to $250,000 and is onsite in New Haven, Connecticut.