Build technology that connects healthcare.

Key responsibilities

• Collaborate with scientists, public health stakeholders, and technical teams to elicit, analyze, and document business, scientific, operational, and technical requirements for bioinformatics platforms and tools.
• Develop and maintain use cases, user stories, acceptance criteria, functional requirements, and non-functional requirements that support bioinformatics and data platform initiatives.
• Partner with product managers, architects, and technical leads to define, prioritize, and refine platform capabilities, enhancements, and strategic roadmaps.
• Coordinate activities across bioinformatics, data science, engineering, cloud, and infrastructure teams to ensure alignment, dependency management, and successful solution delivery.
• Support Agile ceremonies including backlog refinement, sprint planning, Scrum of Scrums, and Program Increment (PI) planning while tracking requirements, risks, dependencies, and delivery progress.
• Assist with governance activities, KPI and success metric definition, product demonstrations, stakeholder briefings, and user feedback sessions to promote platform adoption and continuous improvement.

Required qualifications

• 2+ years of experience analyzing bioinformatics workflows, data types, and analytical use cases such as genomics, sequencing data, pipelines, or surveillance analytics.
• Knowledge of common bioinformatics, life sciences, or public health data platforms or analytical tools.
• Knowledge of front-end or back-end technologies used for application development, including SQL, NoSQL databases, or web-based interactive user interfaces.
• Knowledge of Agile, Scrum, Kanban, or SAFe delivery environments.
• Ability to lead client and stakeholder discussions, ask the right questions, document clear requirements, and translate them into actionable implementation steps.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor's degree.

Preferred qualifications

• Experience working in a public health, life sciences, or research-focused environment.
• Experience with the systems development lifecycle and modern data platform architectures.
• Experience with business analysis processes, including translating scientific or technical requirements into user stories, use cases, and platform features.
• Experience modeling business processes and requirements, including use-case scenarios integrated with data and system architectural models.
• Knowledge of big data, analytics, or bioinformatics platforms in a cloud environment.
• Knowledge of cloud-based systems and data platforms.
• Master's degree in Bioinformatics, Computational Biology, Genomics, or a related field.
• Agile or SAFe Certification.

Key responsibilities

• Support day-to-day operation and continuous improvement of enterprise on-premise and cloud-based high-performance computing bioinformatics platforms, analytical tools, and data workflows.
• Analyze bioinformatics workflows, data types, and analytical use cases to identify operational needs, issues, dependencies, and opportunities for improvement.
• Gather, document, and translate scientific, technical, and operational requirements into actionable requirements, user stories, use cases, acceptance criteria, and platform capabilities.
• Develop bioinformatics pipelines, databases, and conduct data analysis as required.
• Coordinate with bioinformatics, data science, engineering, and cloud and on-premise infrastructure teams to support delivery and resolve operational issues.
• Monitor requirements, workflow activities, risks, dependencies, and delivery progress using tools such as Azure DevOps, Git, or Jira.
• Support on-premise, hybrid, or cloud-based platform governance and operational performance by helping define KPIs, success metrics, processes, and outcomes aligned to bioinformatics mission goals.
• Facilitate stakeholder discussions, demonstrations, and user engagement activities to gather feedback, communicate status, and support adoption.

Required qualifications

• 2+ years of experience supporting or analyzing bioinformatics workflows, data types, and analytical use cases such as genomics, sequencing data, pipelines, or surveillance analytics.
• Experience supporting the operations, implementation, or continuous improvement of technical platforms, data workflows, or analytical tools within on-premise high-performance computing environments.
• Knowledge of common bioinformatics, life sciences, or public health data platforms and analytical tools.
• Knowledge of data technologies used in bioinformatics or analytical applications, including SQL, NoSQL databases, or web-based interfaces.
• Ability to troubleshoot operational issues, identify dependencies and risks, and coordinate with technical teams to drive issues toward resolution.
• Ability to manage multiple workflows, requirements, tasks, and priorities in a structured delivery environment.
• Knowledge of Agile, Scrum, Kanban, or SAFe delivery environments.
• Ability to lead client and stakeholder discussions, document requirements, and translate scientific or technical needs into actionable implementation steps.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor's degree.
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder).

Preferred qualifications

• Experience working in a public health, life sciences, research, or bioinformatics environment.
• Experience supporting systems development lifecycle activities and modern data platform architectures.
• Experience with bioinformatics platform operations, data pipeline monitoring, workflow management, or production support.
• Experience using business analysis or requirements management processes to translate scientific or technical requirements into user stories, use cases, and platform features.
• Experience with process modeling, workflow documentation, or structured requirements analysis.
• Knowledge of big data, analytics, or bioinformatics platforms in a cloud environment.
• Knowledge of cloud-based systems and data platforms.