Research Data Manager
Core
Build and maintain data infrastructure (LIMS, repositories, databases) for biomedical research, integrating instrument and analysis data to make it findable and reusable.
Role type
Senior IC research data manager (software engineering & data stewardship)
Builds
LIMS, document/research data repositories, metadata databases, and AI/ML-assisted discovery tools
Domain
Biomedical informatics / Translational research
Deliverable
production ML models
Required skills
Data integration, Data wrangling, Repository management, Database development, AI/ML integration, Cloud engineering, Tool evaluation
Preferred skills
Invenio/Dataverse experience, ML/AI components (embeddings, vector search), Workflow tools (Airflow, Nextflow), Stem cell/tissue engineering lab experience, Imaging/omics data experience, HPC environments, Front-end tooling (React)
Technologies
LIMS, Invenio, Kubernetes, CI/CD, Helm, Terraform, React, Airflow, Nextflow, Snakemake, Argo
Responsibilities
Connect laboratory instruments and external sources to LIMS; Write scripts to normalize heterogeneous data formats; Deploy and configure document management systems; Design and maintain databases for experimental metadata; Incorporate ML/AI into data workflows and user interfaces; Develop and deploy software solutions on cloud or Kubernetes; Evaluate data management packages and standards
Seniority
Senior, hands-on IC
