Senior Data Scientist (Real World Data)

Location: Hybrid, with 3 days per week in the office in the New York City or Boston metro areas; applicants in the Research Triangle, NC, and San Francisco Bay Area may also be considered. Applicants must reside in these locations or be willing to relocate.

Total compensation: $185,500–$232,000 annually, plus equity, benefits, and perks.

Company

hirify.global is a technology and AI-driven pharmaceutical company building platforms and capabilities to accelerate drug development and clinical trials.

What you will do

• Model and transform EHR and claims data into canonical, analytics-ready datasets using SQL, Python, and OMOP.
• Build and manage scalable pipelines with Dagster, dbt, and Snowflake.
• Conduct real-world data analyses covering disease epidemiology, treatment patterns, patient journeys, and comparative effectiveness.
• Design and execute observational studies with Data Scientists and clinical leads.
• Implement validation, completeness, and observability frameworks for healthcare datasets.
• Apply generative AI to data transformation and insight generation, and communicate findings to scientific and business stakeholders.

Requirements

• 5+ years of experience, including ideally 2+ years in healthcare or life sciences and direct exposure to EHR or claims data.
• Experience with biomedical ontologies and schemas such as UMLS, LOINC, ICD-9/10, and MeSH.
• Fluency in SQL and Python, with experience maintaining production-grade analytics or scientific data pipelines.
• Experience building longitudinal patient cohorts, including index dates, washout periods, and follow-up windows.
• Understanding of causal inference, target trial emulation, and real-world evidence study design.
• Hands-on expertise with Snowflake, dbt, and Dagster.

Nice to have

• Experience in regulated or privacy-sensitive data environments and familiarity with PHI governance.
• Experience with commercial real-world data vendors such as Truveta, Optum, Komodo, or IQVIA.
• Experience with licensed claims and EHR datasets, patient journey construction, and line-of-therapy sequencing.

Culture & Benefits

• Hybrid work model with office collaboration three days per week.
• Equity, comprehensive benefits, and generous perks.
• Work focused on accelerating access to new medicines through technology, AI, and data.
• Inclusive workplace and equal opportunity employment.