Bioinformatics Support Analyst
Support
Excel
WFA Digital Insight
In today's remote job market, demand for bioinformatics professionals is on the rise, with a 25% growth in job postings over the past year. As the industry continues to evolve, professionals with strong organizational and communication skills are in high demand. Guidehouse stands out as a leader in the field, and this role offers a unique opportunity to work with cutting-edge research systems. With the National Institutes of Health facing increasing pressure to drive innovation, candidates with experience in data quality and workflow optimization will be highly sought after. Before applying, candidates should be aware of the importance of obtaining a public trust clearance and have a solid understanding of data quality principles.
Job Description
About the Role
The Bioinformatics Support Analyst plays a critical role in supporting the operational, analytical, and user-facing aspects of biomedical informatics applications. This position is responsible for ensuring the reliable execution of data workflows, supporting data quality and system performance, and contributing to continuous improvement efforts. As part of a dynamic team, the successful candidate will have the opportunity to work with a range of research systems, engage with users across the NIH and broader scientific community, and develop their skills in data loading, operational support, and reporting.The role is based in the United States and requires up to 10% travel. The ideal candidate will have a strong background in bioinformatics, excellent organizational and communication skills, and the ability to obtain a public trust clearance.
What You Will Do
- Execute, monitor, and optimize routine data workflows supporting bioscientific, genomic, and clinical data processing
- Load, validate, and assess data quality across multiple data types, ensuring completeness, accuracy, and consistency
- Perform smoke testing and validation during application releases, updates, and pipeline changes
- Troubleshoot user, data, and system issues, including workflow failures, data inconsistencies, and application performance concerns
- Analyze application usage, data flow, and system performance using queries, logs, and analytics tools to generate actionable insights
- Develop and enhance dashboards, reports, and lightweight automation to improve visibility into workflows and system health
- Document processes, workflows, and standard operating procedures, contributing to knowledge sharing and operational scalability
- Collaborate with engineering and scientific teams to triage bugs, refine requirements, and support enhancements to data workflows and applications
- Identify opportunities for workflow optimization, automation, and improved data handling, and contribute to implementation efforts
- Communicate system updates, issues, and insights to technical and non-technical stakeholders
What We Are Looking For
- Bachelor's degree or higher in bioinformatics, computational biology, biomedical informatics, or a related field
- Two years of experience working with bioscientific, genomic, or clinical data in a research or applied setting
- Proficiency in Python or similar scripting languages for data processing, analysis, or workflow support
- Familiarity with data pipelines, batch processing, and workflow orchestration concepts
- Ability to query, analyze, and interpret data using SQL or similar tools
- Experience troubleshooting data processing issues and interpreting system logs or cloud-based monitoring tools
- Understanding of data quality principles and best practices for handling sensitive data
- Experience using version control systems such as Git
- Strong organizational, analytical, and problem-solving skills
- Clear written and verbal communication skills, with the ability to document processes and explain technical concepts
Nice to Have
- Exposure to multiple bioinformatics domains, such as human genomics, microbial genomics, or clinical informatics
- Experience with cloud-based platforms or data environments, such as AWS, Terra, or AnVIL
- Familiarity with workflow management tools, such as Snakemake or Nextflow
- Experience developing dashboards or data visualizations using analytics tools
- Knowledge of genomic data analysis and interpretation
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with cutting-edge research systems and contribute to innovative projects
- Collaborative and dynamic work environment
- Professional development opportunities, including training and conference attendance
- Flexible work arrangements, including remote work options
- Access to a comprehensive health insurance plan
- Generous paid time off and holiday schedule
- Retirement savings plan with company match
How to Stand Out
- Highlight your experience with data quality and workflow optimization to stand out as a candidate
- Be prepared to discuss your understanding of data quality principles and best practices for handling sensitive data
- Showcase your proficiency in Python or similar scripting languages for data processing and analysis
- Emphasize your strong organizational and communication skills, as well as your ability to work in a collaborative environment
- Research Guidehouse and the National Institutes of Health to demonstrate your knowledge of the industry and the company's mission
- Prepare examples of your experience with data pipelines, batch processing, and workflow orchestration concepts
- Consider creating a portfolio of your work, including examples of dashboards, reports, or data visualizations you have developed
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