Nosso cliente está buscando um PO com experiência em NGS Data Analysis para atuar em um projeto na área de testes para câncer.
Modelo de contratação: PJ.
Modelo de atuação: Remoto.
Pagamento: USD/h.
Requisito mandatório: Inglês avançado/fluent para conversação.
Domain Expertise:
- Strong background in Bioinformatics, Cancer Genomics, and NGS Data Analysis (Must Have)
- Experience with NGS pipelines, whole genome, whole exome, and transcriptomics workflows (Must Have)
- Knowledge of clinical genomics guidelines (FDA, CLIA, CAP, AMP) (Nice to Have)
Technical & Software Development Knowledge:
- Understanding of NGS tools, workflows, and cloud-based orchestration (AWS HealthOmics, Nextflow, etc.) (Nice to Have)
- Familiarity with SDLC, Agile methodologies, and documentation best practices (Must Have)
- Experience with JIRA & Confluence for requirement tracking and task management (Nice to Have)
Product Management & Leadership:
- Proven experience as Product Owner in bioinformatics, clinical genomics, or oncology-related software environments (Nice to Have)
- Strong requirement gathering, task prioritization, and delivery-focused mindset (Nice to Have)
- Excellent communication, teamwork, and stakeholder engagement skills (Must Have)
Regulatory & Compliance Knowledge:
- Familiarity with FDA regulatory requirements for genomics software (Nice to Have)
- Experience with CSV and compliance documentation (Nice to Have)
Key Responsibilities:
- Define and execute the product roadmap for NGS bioinformatics pipeline and supporting software.
- Prioritize and manage the product backlog, ensuring alignment with business objectives and clinical needs.
- Collaborate with stakeholders to optimize NGS pipeline performance and data analysis.
- Define epics, user stories, and software requirements in JIRA & Confluence.
- Work with bioinformaticians and engineers to ensure seamless NGS data analysis.
- Lead Agile ceremonies.
- Provide expertise during SDLC.
- Develop documentation for CSV and ensure FDA compliance.
- Refine NGS pipeline, variant analysis, and clinical reporting using bioinformatics knowledge.
- Ensure pipeline compliance with cancer genomics standards.
- Collaborate to enhance genome, exome, and transcriptomics analysis.
- Communicate effectively across teams.
- Coordinate with regulatory teams for compliance.
- Develop verification and validation plans with QA.