Associate Director, Data Science (Real World Data)

Location: Hybrid in the New York City or Boston metro area, with 3 days per week in office. Candidates 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: $213,500–$267,000 per year, plus equity, comprehensive 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

• Lead the RWD Intelligence function within Data Science, owning RWD strategy, sourcing, and delivery of analysis-ready datasets.
• Architect and maintain pipelines, ingestion workflows, data models, lakes, and marts across EHR/EMR, claims, registries, and genomics-linked cohorts.
• Drive OMOP CDM-based harmonization across heterogeneous data sources, using AI/ML for entity resolution, ontology mapping, data quality monitoring, and automated harmonization.
• Manage RWD vendors end to end, including provider evaluation, data use agreement negotiation, partnerships, and dataset integration.
• Partner with Data Science, Clinical Development, Business Development, and Engineering on trial feasibility, synthetic control arms, epidemiology, and label expansion use cases.
• Build a culture of data quality, documentation, reproducibility, and production-grade RWD systems.

Requirements

• BSc or MSc in biomedical informatics, computational sciences, epidemiology, or a related quantitative field.
• 5+ years of industry experience working directly with real-world data and at least 2 years of people management.
• Strong data engineering skills across pipelines, ingestion frameworks, data models, and data lakes/marts.
• Working knowledge of biomedical ontologies and standards including ICD, SNOMED CT, MedDRA, RxNorm, ATC, and OMOP CDM.
• Experience with RWD procurement, vendor management, data integration, and drug development use cases.
• Proficiency with modern AI/ML tools, including large language models, and strong communication skills for clinical, scientific, and executive audiences.

Nice to have

• PhD in biomedical informatics, epidemiology, computational biology, or a related field.
• Experience with UK Biobank, FinnGen, All of Us, or other large-scale biobank and genomics-linked RWD platforms.
• Knowledge of scientific literature mining, omics datasets, molecular data integration, causal inference, trial simulation, or propensity score methods.
• Experience transitioning research or ad hoc infrastructure to production-grade systems in regulated environments.

Culture & Benefits

• Hybrid work model centered on key US hiring hubs.
• Equity in addition to base compensation.
• Comprehensive benefits and generous perks.
• Mission focused on bringing new medicines to patients faster and more efficiently.