Lead evidence generation and analytics for oncology and hematology, translating complex data into decision-ready insights to influence Phase 3 investments, trial design, and patient access.
The annual base pay for this position ranges from $144,648.80 - $184,000 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program.
- Prioritize evidence gaps with stakeholders and global product teams
- Apply machine learning and causal inference to deliver robust answers on patient stratification, external control arm construction, prognostic risk adjustment, and treatment effect heterogeneity
- Deliver and validate multimodal patient-level models integrating clinical, genomic, imaging, and real-world data
- Turn internal and competitor trial data into clear insights on standard of care, patient pathways, benchmarking, and unmet need
- Enable platform and tooling teams to bring new tools, agents, and experimental approaches into evidence generation
- PhD in a quantitative discipline such as epidemiology, biostatistics, computational biology, machine learning, health data science, or a related field
- Nice to have: Domain expertise in hematology or oncology
- Nice to have: Experience deploying analytics into clinical trial operations, submissions, or payer engagements
- Nice to have: Publications, conference presentations, or open-source contributions in causal inference, multimodal modeling, or real-world evidence
- Nice to have: Hands-on experience with cloud platforms and MLOps practices
- Qualified retirement program (401(k) plan)
- Paid vacation and holidays
- Paid leaves
- Health benefits including medical, prescription drug, dental, and vision coverage
Data Analyst 3UOMUOMUS · Coral Gables, US