Quick Summary
Overview
(ID: 2026-3882) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics,
Technical Tools
DataData Manager
(ID: 2026-3882)
What We Offer
~4 min read✓100% Medical, Dental & Vision Coverage for Employees
✓Paid Time Off and Paid Holidays
✓401K match up to 5%
✓Educational Benefits for Career Growth
✓Employee Referral Bonus
✓Flexible Spending Accounts:
Healthcare (FSA)
✓Parking Reimbursement Account (PRK)
✓Dependent Care Assistant Program (DCAP)
✓Transportation Reimbursement Account (TRN)
✓Data integration. Connect laboratory instruments, analysis pipelines, and external data sources to the LIMS. Build and maintain automated ingestion pipelines with validation, logging, and error handling.
✓Data wrangling and format conversion. Write and maintain custom scripts and services that convert, normalize, and harmonize heterogeneous data formats (instrument exports, imaging metadata, omics outputs, spreadsheets) into standardized schemas.
✓Repository and document management. Deploy, configure, and support document and research data management systems such as Invenio. Manage records, metadata schemas, persistent identifiers, and access controls.
✓Database development. Design, create, and maintain databases for experimental metadata and small-to-moderate datasets, including schema design, migrations, indexing, and backup and recovery.
✓AI/ML-assisted discovery. Incorporate ML/AI into data workflows and user interfaces, such as semantic search, metadata extraction and auto-annotation, and natural-language query tools, to help researchers find and use data.
✓Platform and cloud engineering. Develop, containerize, and deploy software solutions on cloud or local Kubernetes resources. Maintain CI/CD pipelines, monitoring, and infrastructure-as-code.
✓Tool evaluation. Evaluate and recommend packages, platforms, and standards for data management, and prepare short technical assessments for IDSS leadership.
✓Training and documentation. Train laboratory and analytical staff, and write standard operating procedures and technical documentation.
✓Data integration. Connect laboratory instruments, analysis pipelines, and external data sources to the LIMS. Build and maintain automated ingestion pipelines with validation, logging, and error handling.
✓Data wrangling and format conversion. Write and maintain custom scripts and services that convert, normalize, and harmonize heterogeneous data formats (instrument exports, imaging metadata, omics outputs, spreadsheets) into standardized schemas.
✓Repository and document management. Deploy, configure, and support document and research data management systems such as Invenio. Manage records, metadata schemas, persistent identifiers, and access controls.
✓Database development. Design, create, and maintain databases for experimental metadata and small-to-moderate datasets, including schema design, migrations, indexing, and backup and recovery.
✓AI/ML-assisted discovery. Incorporate ML/AI into data workflows and user interfaces, such as semantic search, metadata extraction and auto-annotation, and natural-language query tools, to help researchers find and use data.
✓Platform and cloud engineering. Develop, containerize, and deploy software solutions on cloud or local Kubernetes resources. Maintain CI/CD pipelines, monitoring, and infrastructure-as-code.
✓Tool evaluation. Evaluate and recommend packages, platforms, and standards for data management, and prepare short technical assessments for IDSS leadership.
✓Training and documentation. Train laboratory and analytical staff, and write standard operating procedures and technical documentation.
✓Experience deploying or customizing Invenio/InvenioRDM or similar repositories (Dataverse, DSpace, CKAN).
✓Experience integrating ML/AI components into applications, such as embeddings and vector search, LLM-based retrieval, or document parsing.
✓Familiarity with workflow tools (Airflow, Nextflow, Snakemake, Argo) and with Helm, Terraform, or similar infrastructure-as-code tools.
✓Experience with stem cell or tissue engineering laboratories.
✓Experience with imaging and omics data.
✓Experience with high-performance computing environments (for example NIH Biowulf).
✓Experience with front-end tooling (React or similar) for data-facing interfaces.
Location & Eligibility
Where is the job
Bethesda, United States
On-site at the office
Who can apply
US
About this job
- Pay per year
- $105,000–$150,000 a year
- 31% below the $184,750 median for Data Manager jobs on Jobera (96 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 24, 2026
- First seen
- October 24, 2026
- Last seen
- October 24, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- October 24, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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