Hematology Clinical Intelligence & Real-World Analytics Lead

Biopharma Careers; Waltham (MA); On-site; USD 145,000 - 217,000; Full time

Job summary

AstraZeneca seeks a senior quantitative scientist to turn complex clinical and real-world data into decision-ready evidence for Hematology, influencing Phase 3 investments, trial design and patient access.

You will build multimodal models, apply causal inference, and collaborate with Global Product Teams to deliver evidence across development and payer strategies with a focus on reproducibility and regulatory standards.

Qualifications

• PhD or equivalent in epidemiology, biostatistics, computational biology, machine learning, health data science, or related field.
• 5+ years of experience spanning evidence strategy and real-world data/analytics.
• Strong foundation in causal inference and observational study design (propensity scores, IVs, target trial emulation).

Responsibilities

• Evidence Gap Prioritization with stakeholders and Global Product Teams for Phase 3 decisions and trial design.
• Apply machine learning and causal inference to patient stratification and external control arms.
• Develop multimodal patient models integrating clinical, genomic, imaging and real-world data.
• Produce decision-ready insights on standard of care, patient pathways, and benchmarking.
• Collaborate with platform teams to bring new tools into evidence generation.
• Connect strategic evidence needs with technical delivery across development, regulatory, and access milestones.

Skills

PhD in quantitative field

Experience 5+ years

Causal inference

Python, R, SQL

External control arms

Multimodal modeling

Education

PhD or equivalent

Job description

AstraZeneca seeks a senior quantitative scientist to turn complex clinical and real-world data into decision-ready evidence for Hematology, influencing Phase 3 investments, trial design and patient access.

You will build multimodal models, apply causal inference, and collaborate with Global Product Teams to deliver evidence across development and payer strategies with a focus on reproducibility and regulatory standards.