Associate Scientist, Post Doc Fellow- Computational Pathology & Spatial AI

Scorpion Therapeutics; Cambridge (MA); Hybrid; USD 82,000 - 92,000; Full time

Benefits offered by this job

Hybrid work setup

Performance bonuses

Job summary

Scorpion Therapeutics seeks a Postdoctoral Research Fellow in Computational Pathology and Spatial AI to develop multimodal AI methods. You will integrate histopathology, transcriptomics, and spatial biology data to analyze tumor microenvironment architecture.

The role involves collaborating with data science, pathology, and biology teams, publishing findings, and contributing to biomarker discovery. Hybrid work with travel is offered.

Qualifications

• PhD in Computer Science, AI/ML, Computational Biology, Bioinformatics, or related field.
• Expertise in deep learning, computer vision, multimodal modeling, and biomedical data analysis.
• Proficiency in Python and PyTorch.

Responsibilities

• Advance interpretable AI/ML approaches connecting pathology images with molecular data.
• Study tissue organization.
• Support biomarker discovery.
• Collaborate cross-functionally with teams in data science, pathology, and biology.
• Communicate findings through publications and presentations.

Education

PhD in Computer Science, AI/ML, Computational Biology, Bioinformatics, or related field

Tools

PyTorch

Python

Job description

Role

Postdoctoral Research Fellow in Computational Pathology and Spatial AI, focusing on developing advanced multimodal AI methods to analyze tumor microenvironment architecture by integrating histopathology, transcriptomics, and spatial biology data.

Responsibilities

• Advance interpretable AI/ML approaches connecting pathology images with molecular data.
• Study tissue organization.
• Support biomarker discovery.
• Collaborate cross-functionally with teams in data science, pathology, and biology.
• Communicate findings through publications and presentations.

Requirements

• PhD in Computer Science, AI/ML, Computational Biology, Bioinformatics, or related field.
• Expertise in deep learning, computer vision, multimodal modeling, and biomedical data analysis.
• Proficiency in Python and frameworks like PyTorch.
• Demonstrated research productivity.

Preferred

• Experience in computational pathology, spatial transcriptomics, single-cell omics, foundation models, tumor microenvironment biology, oncology biomarkers.
• Publication record in venues such as MICCAI, CVPR, NeurIPS, or AACR.

High Value

• Oncology, spatial biology, multimodal AI, tumor microenvironment, biomarker discovery.
• Development stage not specified.

Work Setup

• Hybrid with 10% travel.
• Salary range $82,000-$92,000, with benefits and performance bonuses.