Research Data Manager

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $105k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Axle Informatics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🧬 Biotechnology

🏥 Healthcare

🔬 Science

Biotechnology • Healthcare • Science

Axle Informatics is a bioscience and information technology company that offers advancements in translational research, health informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we develop and apply research tools and techniques that empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH) by offering the responsiveness of a small business coupled with the experience, breadth, and depth of a large organization.

📋 Description

• 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

• 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

• 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)

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