Data Manager Multimodal Medical Foundation Models (India)

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 datasetsincluding 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 rolewithout great data, large models cannot be great. 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 frameworks, and institutional data-sharing rules. - Manage PHI de-identification, audit logs, access control, and compliance approvals. Collaboration with Research & Engineering - Work closely with foundation-model researchers to understand data needs for model training. - Partner with agentic system designers to supply structured datasets for clinical reasoning tasks. - Collaborate with foundational engineers on data access layers, performance bottlenecks, and dataset optimization. Why This Role Is Critical - The foundation model relies on high-quality 3D and textual data at scale. - You shape the data pipelines enabling next-generation medical AI agents. - You ensure clinical-grade governance, safety, reproducibility, and trust. - Your systems become the backbone for research, experiments, and deployments. For candidates motivated by the intersection of data, healthcare, and machine learning, this is a high-impact opportunity. What We're Looking For - Robust experience managing large multimodal or imaging datasets, ideally medical imaging. - Proficiency with DICOM/DICOMweb, NIfTI, PACS systems, and medical imaging toolkits (dicompyler, pydicom, MONAI, ITK). - Experience with ETL pipelines, distributed data systems, and cloud/on-prem storage. - Knowledge of metadata standards, ontologies, and textimage linking strategies. - Comfortable working with Python, SQL, and data tooling (Airflow, Prefect, Dagster, DBT, Delta Lake, etc.). - Understanding of data privacy, de-identification, and compliance requirements in healthcare. - Strong communication skills and the ability to coordinate between engineers, researchers, clinicians, and data partners. Nice to Have - Experience with vector databases, multimodal retrieval, or embedding store design. - Familiarity with annotation tools (Labelbox, CVAT, iMerit, custom MONAI Label pipelines). - Prior work with clinical NLP datasets or multilingual Indian medical corpora. - Experience conducting bias audits, dataset characterization, or quality scoring at scale. - Contributions to open datasets, benchmarks, or data documentation frameworks. What We Offer - Competitive compensation. - Access to one of the most ambitious medical multimodal datasets in the region. - Collaboration with scientists building India's first 3D multimodal medical foundation model. - Autonomy to design data systems from the ground up. - A mission-driven team working to transform clinical care with agentic AI. .