Research Data Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and uphold the data infrastructure for the SOM Center, which includes LIMS, Invenio, and various repository platforms, along with metadata databases and connection pipelines.

• Integrate laboratory instruments, data analysis pipelines, and external data sources with the LIMS.

• Create and sustain automated ingestion pipelines that feature validation, logging, and error management.

• Transform, normalize, and harmonize diverse data formats into uniform schemas.

• Implement, configure, and provide support for document and research data management systems like Invenio.

• Oversee records, metadata schemas, persistent identifiers, and access controls.

• Design, develop, and maintain databases for experimental metadata and datasets of small to moderate size.

• Integrate ML/AI technologies into data workflows and interfaces for semantic search, metadata extraction, auto-annotation, and natural language queries.

• Create, containerize, and deploy software on cloud or local Kubernetes resources.

• Manage CI/CD pipelines, monitoring, and infrastructure-as-code practices.

• Assess and recommend data management packages, platforms, and standards.

• Prepare technical evaluations for IDSS leadership.

• Provide training to laboratory and analytical personnel.

• Draft standard operating procedures and technical documentation.

⛳️ Requirements

• A bachelor’s degree in computer science, bioinformatics, data science, or a related discipline, coupled with a minimum of five years of relevant experience. A master’s degree can replace two years of this experience.

• Expertise in Python, encompassing data libraries (such as pandas) and API development.

• Proficient in SQL with experience in relational databases, particularly PostgreSQL.

• Proven experience in crafting production-quality scripts and services for data conversion, ETL/ELT processes, and system integration.

• Practical experience with Docker and Kubernetes.

• Familiarity with at least one major cloud service provider: AWS, Azure, or GCP.

• Experience in using Git, CI/CD practices, testing, and code reviews.

• Background with LIMS, ELN, or similar research data systems within a biological or biotechnology lab environment.

• Knowledge of metadata standards, data modeling, and FAIR data principles.

• Excellent communication abilities along with a capability to train and support scientific personnel.

• Eligibility to obtain and maintain NIH/HHS security clearance and fulfill federal contractor suitability criteria.

🏝️ Benefits

• Complete Medical, Dental & Vision Coverage for Employees.

• Paid Time Off and Paid Holidays.

• 401K matching up to 5%.

• Educational Benefits to support Career Growth.

• Employee Referral Bonus.

• Healthcare Flexible Spending Account (FSA).

• Parking Reimbursement Account (PRK).

• Dependent Care Assistance Program (DCAP).

• Transportation Reimbursement Account (TRN).