Research Data Manager

Axle Informatics

. Build and maintain the SOM Center’s data infrastructure, including LIMS, Invenio and other repository platforms, metadata databases, and connecting pipelines .

Posted 11/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $105,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data infrastructure, including LIMS and automated ingestion pipelines, while incorporating ML/AI into data workflows. Proficient in Python, SQL, and cloud platforms, with strong communication skills for training and supporting scientific staff.

Highest-signal resume keywords

Python ProficiencySQL and Relational DatabasesDocker and Kubernetes ExperienceLIMS and Research Data SystemsCI/CD and Infrastructure-as-Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesData Conversion and ETL/ELTMetadata ManagementDatabase Design and MaintenanceAPI Development

Soft Skills

Strong Communication SkillsTraining and Support Abilities

Tools & Technologies

LIMSInvenioPostgreSQLAWSAzureGCPGit

Certifications & Qualifications

Bachelor’s Degree in Computer Science, Bioinformatics, Data Science, or Related FieldNIH/HHS Security Clearance

Industry Keywords

FAIR Data PrinciplesBiological Laboratory SettingData ModelingPersistent IdentifiersResearch Data Management

Tech Stack

Tools & technologies

AWSAzureCloudDockerETLGoogle Cloud PlatformKubernetesPandasPostgresPythonSQL

About the role

Key responsibilities & impact

Build and maintain the SOM Center’s data infrastructure, including LIMS, Invenio and other repository platforms, metadata databases, and connecting pipelines
Connect laboratory instruments, analysis pipelines, and external data sources to the LIMS
Build and maintain automated ingestion pipelines with validation, logging, and error handling
Convert, normalize, and harmonize heterogeneous data formats into standardized schemas
Deploy, configure, and support document and research data management systems such as Invenio
Manage records, metadata schemas, persistent identifiers, and access controls
Design, create, and maintain databases for experimental metadata and small-to-moderate datasets
Incorporate ML/AI into data workflows and interfaces for semantic search, metadata extraction, auto-annotation, and natural-language queries
Develop, containerize, and deploy software on cloud or local Kubernetes resources
Maintain CI/CD pipelines, monitoring, and infrastructure-as-code
Evaluate and recommend data-management packages, platforms, and standards
Prepare technical assessments for IDSS leadership
Train laboratory and analytical staff
Write standard operating procedures and technical documentation

Requirements

What you’ll need

Bachelor’s degree in computer science, bioinformatics, data science, or a related field, plus five or more years of relevant experience. A master’s degree may substitute for two years of experience.
Proficiency in Python, including data libraries (pandas and similar) and API development
SQL and experience with relational databases, for example PostgreSQL
Experience writing production-quality scripts and services for data conversion, ETL/ELT, and system integration
Hands-on experience with Docker and Kubernetes
Experience with at least one major cloud platform: AWS, Azure, or GCP
Experience with Git, CI/CD, testing, and code review
Experience with LIMS, ELN, or comparable research data systems in a biological or biotechnology laboratory setting
Working knowledge of metadata standards, data modeling, and FAIR data principles
Strong communication skills and ability to train and support scientific staff
Ability to obtain and maintain NIH/HHS security clearance and meet federal contractor suitability requirements

Benefits

Comp & perks

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
Healthcare (FSA)
Parking Reimbursement Account (PRK)
Dependent Care Assistant Program (DCAP)
Transportation Reimbursement Account (TRN)