Senior Multimodal Data Architect (Hybrid/Remote)

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Excellent medical, dental and vision

2:1 retirement match

Job summary

Michigan Medicine’s MLiNS Lab seeks a Data Scientist / ML Engineer to build multimodal data infrastructure for medical AI systems. You’ll ingest, harmonize, and govern data across radiology, pathology, intraoperative imaging, and EMR, enabling robust, scalable, and reproducible scientific work.

This high-ownership role blends ML, clinical medicine, and large-scale biomedical data to support foundation models and AI agents that improve diagnosis and patient care.

Qualifications

• Master’s degree or higher in computer science, data science, computer engineering, biomedical engineering, bioinformatics, informatics, or a related field.

Responsibilities

• Design and maintain scalable pipelines for ingesting, harmonizing, linking, and versioning multimodal clinical data across radiology, digital pathology, intraoperative imaging, and EMR.
• Develop durable SQL data models, metadata standards, cohort-building tools, and interfaces connecting imaging, pathology, clinical text, procedures, treatments, and outcomes.
• Create robust preprocessing pipelines for DICOM studies, MRI/CT, whole-slide pathology, and stimulated Raman histology.
• Establish automated data-quality monitoring, validation, lineage, de-identification, and audit processes for HIPAA-regulated environments.
• Support distributed model training and evaluation on HPC and cloud using reproducible environments and modern MLOps practices.
• Contribute to medical foundation models, vision-language models, clinical NLP systems, and AI agents over multimodal health-system data.
• Collaborate with clinicians, scientists, trainees, and engineers, and contribute to manuscripts, datasets, open-source software, conferences, and publications.

Skills

Python

SQL

Linux

Bash

Git

Large datasets

High-performance computing

SLURM

Independent work

Science communication

Education

Master's degree or higher in CS/data science/biomedical engineering (or equivalent)

Tools

PyTorch

Spark

Dask

Airflow

dbt

Job description

Michigan Medicine’s MLiNS Lab seeks a Data Scientist / ML Engineer to build multimodal data infrastructure for medical AI systems. You’ll ingest, harmonize, and govern data across radiology, pathology, intraoperative imaging, and EMR, enabling robust, scalable, and reproducible scientific work.

This high-ownership role blends ML, clinical medicine, and large-scale biomedical data to support foundation models and AI agents that improve diagnosis and patient care.