Post-Doctoral Research Fellow - Biostatistics

Responsibilities

• Contribute to one or more of the following priority areas: Immune surrogate biomarker development, addressing challenges of complex non-compliance in cancer screening trials, and efficient design and analysis strategies for multi-cancer detection (MCD) trials.
• Analyze large-scale, high-impact medical studies in cancer and infectious disease prevention.
• Attend lab meetings and regular meetings with PI.
• Write/edit/draft/contribute towards publications and presentations.
• Collaborate with multidisciplinary research teams including statisticians, epidemiologists, laboratory scientists, and clinicians to translate statistical findings into biological and clinical insights.
• Contribute to methodological research in areas such as surrogate biomarker evaluation, causal inference, and trial design, leading to publication in peer-reviewed journals.
• Stay current with emerging statistical methods and relevant biomedical literature to inform ongoing research and foster innovation.
• Present research findings through publications, conference presentations, and internal seminars.
• Support grant proposals and progress reports by contributing statistical expertise and analysis results if needed.

Qualifications

• PhD degree (or equivalent) in Biostatistics, Statistics, Mathematics, Computer Science or related.
• Demonstrated expertise in one or more of the following areas: survival analysis, longitudinal data analysis, two-phase sampling techniques, methods for handling missing data, causal inference, measurement error models, and methods for biomarker evaluation.
• Proficiency in R or Python. Experience in C/C++ a plus.
• Highest scientific rigor and integrity.
• Strong oral and written communication and critical thinking skills.
• Ability to work independently and within multidisciplinary teams.