Company Description

1Cell.Ai Inc. is a leader in precision oncology, specializing in the development of cutting-edge Circulating Tumor Cell (CTC)-based single-cell multi-omics tests. These tests are instrumental in advancing clinical cancer care and supporting early-stage clinical trials for biotech and pharmaceutical companies. The company is a Silicon Valley-based company focused on multi-omics biomarker data analytics. By combining innovation in diagnostics and technology, 1Cell.Ai is a trailblazer in transforming oncology research and healthcare.

Role Description

The role involves developing end-to-end multimodal AI pipelines integrating:

• Digital pathology imaging

• Radiology imaging

• Molecular biomarker data

• Clinical structured data

• LLM-based knowledge systems

These pipelines support advanced applications including:

• AI-assisted biomarker quantification

• Multimodal biomarker discovery platforms

• Radiology + pathology multimodal analysis

• AI-assisted drug recommendation systems using LLMs

Key Responsibilities:

• Develop multimodal AI pipelines integrating imaging, structured data, and language models.

• Build deep learning models using PyTorch, including:

• Vision Transformers (ViT)

• Transformer architectures

• Attention-based models

• Multiple Instance Learning (MIL)

• Develop Generative AI workflows integrating imaging, clinical data, and LLM-based reasoning modules.

• Work on end-to-end AI workflows, including:

• Data preprocessing and quality control

• Feature engineering

• Model training and fine-tuning

• Validation and performance optimization

• Perform exploratory data analysis (EDA) using dimensionality reduction techniques such as: UMAP,

PCA, t-SNE.

• Implement model validation strategies, including:

ROC / AUC evaluation

• Sensitivity / specificity analysis

• Cross-validation

• Build AI pipelines for applications such as:

• Digital pathology image analysis

• Radiology imaging analytics

• Multimodal biomarker prediction

• AI-driven drug recommendation systems

• Maintain clean and reproducible codebases using GitHub version contro

Qualifications

• BE / B.Tech OR M.Tech/ MS - Computer Science, Artificial Intelligence & Machine Learning, Data

Science, Information Science, Statistics / Applied Mathematics

Key Skills

Strong experience in:

• Python programming for AI/ML

• PyTorch deep learning framework

• Transformer architectures

• Vision transformers

• Attention mechanisms

• Multiple Instance Learning (MIL)

• Multimodal AI pipelines

Good understanding of:

• Machine learning fundamentals

• Statistics and probability

• Model evaluation metrics

• Data preprocessing pipelines

Tools: Git / GitHub, VS Code, Docker / containerization

Preferred Skills (Nice to Have)

• Experience working with digital pathology or radiology imaging datasets

• Exposure to healthcare or oncology AI applications

• Experience building multimodal AI models combining imaging, text, and structured data

• Familiarity with LLM-based pipelines and GenAI systems

• Experience with cloud infrastructure (AWS / GCP / Azure)

• • Contributions to open-source AI projects or GitHub repositorie