Associate Director, Data Science (Real World Data)

Formation Bio; Town of Boston (NY); On-site; USD 204,500 - 267,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Generous perks

Job summary

Formation Bio is seeking an Associate Director of RWD Intelligence to lead real-world data capabilities, managing data strategy and infrastructure. The ideal candidate will have 5+ years of industry experience in data engineering and a strong background in biological ontology. This role combines expertise in data science and drug development, offering compensation between $204,500 and $267,000 based on skills and experience. The position is based in New York City, with a hybrid work model requiring 3 days in the office.

Qualifications

• 5+ years of experience working with real-world data in pharma or health tech.
• Demonstrated experience in data procurement and vendor management.
• Strong communication skills for translating complex data concepts.

Responsibilities

• Lead the RWD Intelligence function and deliver analysis-ready datasets.
• Architect and maintain supporting infrastructure for data consumption.
• Drive adoption of harmonization frameworks across data sources.

Skills

Data engineering proficiency

RWD procurement and vendor management

Communication skills

Proficiency with AI/ML tools

Strong knowledge of biological and medical ontologies

Education

BSc or MSc in biomedical informatics or related field

Tools

Data lakes/marts

EHR/EMR systems

OMOP CDM

Job description

About Formation Bio

Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.

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

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

Compensation

Total Compensation Range: $204,500 - $267,000. Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. The offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn’t match your expectations, we still encourage you to apply!

Where We Hire

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.

Equal Opportunity

Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.