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Fred Hutch · 3 hours ago

Post-Doctoral Research Fellow - Biostatistics

Seattle, WA

Full-time

Onsite

New Grad, Entry Level

$80K/yr - $95K/yr

Fred Hutchinson Cancer Center is an independent, nonprofit organization focused on cancer treatment and research. The role of Post-Doctoral Research Fellow in Biostatistics involves developing innovative statistical methods for biomedical applications, contributing to immune biomarker development, and collaborating with multidisciplinary teams on high-impact medical studies.

Hospital & Health Care

No H1B

Responsibilities

Contribute to one or more of the following priority areas: Immune surrogate biomarker development, with an emphasis on modeling longitudinal immune responses and linking them to clinical outcomes; Addressing challenges of complex non-compliance in cancer screening trials; and Efficient design and analysis strategies for multi-cancer detection (MCD) trials

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

Contribute to methodological research in areas such as immune biomarker evaluation, causal inference, and clinical trial design

Demonstrate commitment to scientific integrity, collaboration, and continuous professional growth

Qualification

PhD in BiostatisticsSurvival analysisLongitudinal data analysisCausal inferenceRPythonCommunication skillsCritical thinkingWork independentlyTeam collaboration

Required

PhD degree in Biostatistics, Statistics, Mathematics, Computer Science or equivalent required

Preferred

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