Associate Director Real World Data

About the Position 

As Associate Director of RWD Intelligence at Formation Bio you will lead the strategy and execution of our real-world data (RWD) capabilities building the data foundations that power drug acquisition clinical development and portfolio decision-making. You will own the end-to-end lifecycle of RWD: sourcing procurement ingestion harmonization quality assurance and delivery of analysis-ready datasets to downstream consumers across Product Data Science Clinical Development and Business Development.

This role sits at the intersection of data engineering data science and drug development. You will build and maintain scalable data infrastructure (pipelines data models lakes/marts) while ensuring semantic interoperability across heterogeneous data sources through ontology-driven harmonization frameworks such as OMOP. You will also manage vendor relationships and data procurement evaluating and integrating new data assets as the portfolio evolves. The ideal candidate combines deep RWD domain expertise with strong data fluency enabling Formation Bio to treat real-world evidence as a first-class strategic asset.

Responsibilities

• Lead the RWD Intelligence function within Data Science owning data strategy sourcing and delivery of analysis-ready datasets
• Architect and maintain the supporting infrastructure (pipelines ingestion workflows data models lakes/marts) across EHR/EMR claims registries and genomics-linked cohorts
• Drive adoption and extension of harmonization frameworks (e.g. OMOP CDM) across heterogeneous data sources leveraging AI/ML tools for entity resolution ontology mapping data quality monitoring and automated harmonization
• Manage RWD vendor relationships end-to-end: evaluate providers negotiate data use agreements broker new partnerships and integrate acquired datasets into the platform
• Partner with Data Science Clinical Development Business Development and Engineering teams to define RWD use cases (trial feasibility synthetic control arms epidemiology label expansion) and productize ad hoc pipelines into scalable production-grade systems
• Foster a culture of data quality rigor documentation and reproducibility across all RWD assets

About You 

Required Qualifications

• 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 (EHR/EMR claims registries linked biobank data) in pharma biotech health tech or consulting with at least 2+ years in people management
• Strong data engineering proficiency (pipelines ingestion frameworks data models data lakes/marts) combined with deep working knowledge of biological and medical ontologies (ICD SNOMED CT MedDRA RxNorm ATC) and harmonization standards particularly OMOP CDM
• Demonstrated experience with RWD procurement and vendor management: evaluating data providers negotiating agreements and integrating new data assets
• Proven ability to deliver RWD-derived insights across multiple drug development use cases (e.g. trial design epidemiology comparative effectiveness label expansion) with familiarity across the development lifecycle from target selection through post-market
• Proficiency with modern AI/ML tools including large language models and their applications in data engineering and harmonization workflows
• Strong communication skills with the ability to translate complex data infrastructure concepts for clinical scientific and executive audiences

Preferred Qualifications

• PhD in biomedical informatics epidemiology computational biology or a related field
• Experience with large-scale biobank and genomics-linked RWD platforms (UK Biobank FinnGen All of Us) with a track record of building RWD infrastructure that directly influenced drug acquisition licensing or portfolio decisions
• Familiarity with additional biomedical data modalities (scientific literature mining -omics datasets molecular data integration) and with data science/analytics methodologies applied to RWD (causal inference trial simulation propensity score methods)
• Background transitioning data infrastructure from research/ad hoc to production-grade systems in regulated environments
• Experience working at the intersection of data engineering data science and business strategy in pharma/biotech

Total Compensation Range: $204500 - $267000

What We Do

Formation Bio is a tech-driven pharma company differentiated by radically more efficient drug development. Formation Bio has built a technology platform that optimizes all aspects of drug development enabling more efficient trial design faster trial completion and higher quality trial data capture. Formation Bio acquires clinical-stage drugs from pharma and biotech and develops them faster and more efficiently unlocking greater value per program and accelerating access to new treatments for patients. Join our culture of innovation where your work directly contributes to transforming patient care in areas such as rheumatology dermatology CNS and cardiometabolic diseases. Our dynamic environment blends advanced technology with strategic drug development speeding up the delivery of new treatments. Here every role plays a part in our mission to bring new treatments to patients faster and more efficiently.

Why Work With Us

Our mission is our roadmap and north star. We are an impact-driven culture that hires for intelligence and low egos. We believe that the best employees are both smart and ambitious but also demonstrate humility and curiosity.

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