Member of Technical Staff generating clinical insights from multi-modal AI models for precision medicine in oncology. Requires MD/PhD, lead authorship on high-impact papers, ML knowledge, and Python skills.
100k – 300k
On-siteAI Research
About the role
Responsibilities
Generating scientific/clinical insights from data produced by the AI models.
Identifying areas to improve for the AI models.
Collaborating on and contributing to publications in scientific and clinical journals.
Summarizing the research in the form of abstracts to be presented at scientific meetings.
Collaborating with a team of AI researchers, AI engineers, biostatisticians and translational scientists.
Collaborating with external clinical partners.
Drafting applications for access to clinical trial data.
Requirements
MD or PhD in a scientific discipline.
Passion for research, attention to detail and ability to drive tasks to completion.
Prior lead author papers published in high profile scientific and/or clinical journals.
Excellent understanding of basic machine learning concepts.
Excellent skills in Python.
Exceptional spoken and written communication skills.
Member of Technical Staff, Computational Pathology
Ataraxis AINew York, NY
Design, implement, and evaluate novel ML models for computational pathology to predict patient outcomes. Requires PhD in ML, computer vision or statistics, strong publication record, and expertise in PyTorch.
100k – 300k
On-siteEntry levelAI Research
Member of Technical Staff, Foundation Models
Ataraxis AINew York, NY
Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.
100k – 300k
On-siteEntry levelAI Research
Member of Technical Staff
ModalNew York, NY +1
Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.
150k – 350k
On-siteAI Research
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DeepgramCalifornia
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RemoteAI Research
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DeepgramCalifornia
Pioneers Latent Space Models to solve core challenges in voice AI, developing neural audio codecs, generative speech models, and scalable multimodal systems. Requires strong expertise in statistical learning, foundation models, and bridging theory to efficient deployment.