About the Role

You will lead data operations for a cutting-edge research group developing 3D medical multimodal foundation modelsand agentic clinical AI systems. These models rely on extremely high-quality, well-structured, and compliant datasets—including 3D medical imaging volumes (MRI, CT, PET), clinical text corpora, annotations, and multimodal metadata.

Your job is to own the end-to-end data lifecycle: acquisition, ingestion, cleaning, versioning, labeling, quality control, governance, and delivery to researchers. You are the central node ensuring our foundation model teams and medical agent teams have clean, scalable, well-documented data pipelines.

This is a pivotal foundational role—without outstanding data, large models cannot be outstanding.

What You Will Work On

Multimodal Medical Data Ops
Oversee ingestion and processing of 3D medical volumes (DICOM, NIfTI, MHA) and associated clinical texts.
Build automated pipelines for metadata extraction, de-identification, slice/series validation, and cohort structuring.




Manage large-scale internal datasets and external research datasets (BraTS, LiTS, MIMIC-CXR, CheXpert, MosMed, etc.).

Data Infrastructure & Versioning
Implement scalable data storage, cataloging, and retrieval systems for multimodal training data.
Own dataset version control, lineage tracking, reproducibility, and dataset documentation.
Collaborate with ML systems engineers on high-throughput data loaders, sharding strategies, and caching mechanisms.

Annotation & Labeling Programs
Lead medical annotation workflows with radiologists, medical students, and labeling vendors.
Create guidelines for ROI labeling, segmentation, captioning, report alignment, and case-level curation.
Build semi-automated labeling pipelines using model-assisted tools.

Data Quality, Compliance & Governance
Enforce strict standards on data quality, completeness, consistency, and bias control.
Ensure adherence to medical data privacy, HIPAA-equivalent framework

📌 Data Manager — Multimodal Medical Foundation Models Bengaluru (India)
🏢 SAIGroup
📍 India