Staff Business Analyst

Responsibilities

• Collaborate with domain owners and business leaders in Real-World Evidence, Medical Affairs, Biopharma, Product Management, and Data Engineering to gather and document business requirements.
• Ensure clarity of needs and objectives specific to genomic data analytics and real-world clinical outcomes.
• Operate as part of the product and engineering team, owning the problem space from early discovery through production release.
• Shape what gets built by driving clarity on requirements, domain and business context.
• Own requirements end-to-end for clinical and genomic data products.
• Drive conversations with domain authority, challenge assumptions, identify gaps, and resolve ambiguity independently.
• Assess the full downstream impact when a new assay, product, biomarker, or data source is introduced, including changes to how clinical concepts are represented across the platform, data model and business logic updates, and implications for downstream consumers.
• Maintain authoritative documentation of clinical data models, business rules, data mappings, and lineage.
• Serve as the source of truth for how clinical and genomic concepts are represented and consumed across the platform.
• Serve as a subject matter expert in oncology and genomic data workflows, providing guidance to users and stakeholders.
• Facilitate user training and support the adoption of new product features.

Qualifications

• 7+ years as a Business Analyst or equivalent, with the majority spent in genomics, molecular diagnostics, oncology, clinical data systems, or precision medicine.
• Deep domain experience is required.
• Bachelor's or advanced degree in Life Sciences, Bioinformatics, Genomics, Health Informatics, or a related scientific discipline.
• Expert-level written and verbal communication, documenting data specifications, and stakeholder communications that are clear, precise, and actionable without further interpretation.
• Hands-on experience building or supporting clinical or genomic data applications.
• Querying data, running data analysis on analytics databases.
• Deep working knowledge of genomic data: variants, biomarkers, assay panels, clinical annotations, and how these translate into structured data within production systems.
• Experience in HIPAA-compliant healthcare environments. Familiarity with clinical data governance and data quality standards.
• AI & Digital Fluency: Demonstrate curiosity, sound judgment, and the ability to critically evaluate and responsibly leverage AI-enabled tools in accordance with company policies, ethical standards, and regulatory requirements to improve the efficiency, effectiveness, and quality of work.
• Hybrid Work Model: This section is applicable to onsite employees who are eligible for hybrid work location as specified by management and related policies.
• The annualized base salary ranges for the primary location and any additional locations are listed below.
• This range does not include benefits or, if applicable, bonus, commission, or equity.
• Criminal history is required for this role.
• GH will consider qualified applicants with criminal arrest or conviction histories in a manner consistent with applicable law including but not limited to the LA County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952).
• Guardant Health is an Equal Opportunity Employer.