Principal Analyst, Clinical Data Ingestion

What You'll Do at H1

Define the clinical data acquisition strategy: which sources to bring in, in what priority, and whether to build, buy, or partner

• Serve as the subject matter expert on clinical data content, including standards of care, drug lists, study start-up times, regulatory cycle times, and CTMS data
• Specify how each data set should be modeled, normalized, and mapped to standard vocabularies, and document the business rules and definitions behind them
• Set data quality standards and acceptance criteria (completeness, accuracy, freshness, consistency), and review source data and ingested output against them
• Partner with data engineering on ingestion requirements, source onboarding, and prioritization; hold engineering accountable to data quality outcomes, but do not own pipeline build or operations
• Evaluate and onboard data partners and vendors, assessing coverage, provenance, and fitness for use
• Partner with H1 product teams to decide which data sources to prioritize and how each one serves H1 products and customer use cases; translate product needs into data acquisition priorities, and work with data science and commercial teams to make sure ingested data supports them
• Work with legal, privacy, and compliance on data-use terms and de-identification requirements
• Influence the data roadmap and represent clinical data expertise to executive leadership, customers, and external partners.

About You

You are a senior individual-contributor and thought-leader, and you enjoy working cross-functionally, leading with influence by building trust and confidence in your judgment and expertise. You will partner closely with the engineers who build and run the ingestion pipelines, setting the requirements, definitions, and quality bar, while the pipeline build itself sits with the engineering team.

Requirements

• 7+ years of experience in clinical, healthcare, or life sciences data, with deep hands-on expertise in clinical trial operations data and real-world clinical data
• Demonstrated expertise in at least two of the following data domains (all preferred), including how each is sourced, structured, and used:
• Standards of care: clinical guidelines and treatment pathways (e.g., NCCN, ASCO, specialty society guidelines) and how they map to real-world practice
• Drug lists: formularies, drug compendia, and reference lists (e.g., NDC, RxNorm, ATC), including brand/generic and indication mapping
• Study start-up times: site identification, contracting, IRB/ethics approval, and activation timelines across sites and countries
• Regulatory cycle times: submission-to-approval timelines across agencies and regions (e.g., FDA, EMA, PMDA, NMPA)
• CTMS data: sites, enrollment, milestones, monitoring, and operational performance
• Working knowledge of clinical and coding standards (e.g., OMOP, FHIR, HL7, ICD-10, CPT, NDC, LOINC, SNOMED) and data quality frameworks
• Track record of defining data requirements and quality standards that engineering teams build against
• Experience evaluating and working with external data vendors and partners
• Ability to partner with product teams to link data sources to product value and prioritize them accordingly
• Ability to explain complex clinical data topics clearly to executives, engineers, and customers
• Hands-on comfort with SQL or equivalent to profile, validate, and investigate data issues

Preferred- Bachelor’s degree in a scientific or technical field; advanced degree (e.g., PharmD, MPH, PhD) a plus

• Background at a pharma, CRO, healthcare data, or health-tech company
• Experience with CTMS, EDC, or clinical operations platforms
• Familiarity with entity resolution, master data management, or AI/ML-assisted data mapping and validation
• Experience mentoring or informally leading cross-functional teams without direct reports

Compensation

This role pays $170,000 to $200,000 per year, based on experience, in addition to equity in the form of Restricted Stock Units.

Anticipated role close date: 12/21/2026