Postdoctoral Fellow, Epidemiology & Oncology RWE

Role Summary

Do you have expertise in, and a passion for, the development and application of advanced epidemiology methods to ensure rigorous insights for patients? Would you like to apply your expertise to impact early and late oncology clinical development in an organization that follows the science and turns ideas into life-changing medicines?

Purpose of this Position

To realize AstraZeneca oncology’s long-term strategic goals to leverage Real World Data to accelerate drug development, we seek a postdoctoral researcher to develop, adapt, and rigorously evaluate epidemiological methods for bias correction to ensure our study findings are relevant and comparable to clinical trials and ultimately fit to support FDA submissions.

What’s Involved In The Role

The postdoc will design and implement several demonstration projects, testing approaches to correct or minimize the impact of various biases we encounter in our day-to-day use of claims, electronic health records, and multi-modal data. Results from these methods will be compared to AZ's status-quo analytic approaches and validated against historical clinical trials' SoC arms!

Why Should You Apply?

You will have the opportunity to formulate and address key scientific questions motivated by AstraZeneca’s oncology portfolio strategy. These questions will drive innovative research of broad interest to the pharmacoepidemiology and clinical-genomics scientific communities. You will produce high-impact publications on innovative research questions in the fields of pharmacoepidemiology and causal inference and simultaneously advance AstraZeneca’s use of RWE to accelerate and streamline drug development. Furthermore, you will have access to extensive sources of RWD and clinical trial data, and the support of teams with in-depth knowledge of data sources, clinical expertise, and mentorship from internal and external methods experts.

Collaborations

You’ll join a highly motivated, fast-paced team of epidemiologists and data scientists committed to rigorous research, bringing novel RWD insights to AstraZeneca’s Oncology pipeline. Your experience will be enriched through collaboration with a diverse internal community, including statistical innovation, applied data science, artificial intelligence, clinical teams, and the broader community of AstraZeneca postdocs. In addition to the team at AstraZeneca, you will have the opportunity to be mentored by two academic advisors, Dr. Issa Dahabreh from the T.H. Chan Harvard School of Public Health, and Dr. Camille Maringe at the London School of Hygiene and Tropical Medicine.

Essential Skills, Experience & Behaviors

• Solid understanding of epidemiological study design.
• Experience or knowledge of working with Real World Data such as claims, electronic health records, or experience with analyzing clinical trial data.
• Significant experience with bias and methods to correct bias, such as propensity score weighting/matching, instrumental variable analysis, matching adjusted indirect comparisons, etc.
• Familiarity with approaches for generalizability and transportability.
• Experience coding in R (or similar).

Essential Qualifications / Education

PhD in fields such as Epidemiology, Pharmacoepidemiology, Biostatistics, Statistical Genetics, Clinical Informatics, Computer Science, Health Informatics.

Desirable Skills, Experience & Behaviors

• Current or previous experience in Oncology
• Documented understanding of drug development
• Experience in causal inference, Bayesian methods, and/or quantitative bias analysis
• Prior experience in pharma, clinical trials, or engagement with regulators

Personal Characteristics & Behaviors

• Collaborative, innovative, curious, goes above and beyond for patients.