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Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants .
This position is funded for 1 year(s); continuation past 1 year(s) will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
The Child Health Research Center is seeking a Biostatistician. We welcome applicants with strong consulting, communication, and partnership skills who are interested in serving as a statistical advisor, collaborator, and mentor within a multidisciplinary research setting.
ABOUT THE ROLE
This is a highly collaborative, relationship-focused position embedded within an interdisciplinary team. The successful candidate will serve as a trusted statistical partner to investigators, clinicians, research staff, postdoctoral scholars, and students across the Center. We seek someone who enjoys working directly with others, the challenge of translating complex statistical concepts into rigorous study protocols, data management pipelines, advanced analytical models, and peer-reviewed publications while directly mentoring developing researchers and driving project execution from initial study design through final publication, including data management.
LOCATION
This position is based at Penn State's University Park campus and offers a hybrid work arrangement. Regular face-to-face collaboration, problem-solving, and engagement with research teams are essential to success. The ideal candidate values teamwork, builds strong working relationships, and thrives in an environment where partnership and communication are as important as technical expertise. We may consider remote work arrangements for exceptionally qualified candidates who demonstrate a proven track record of independent methodological leadership, high-impact peer-reviewed publications, and a history of successful cross-functional collaboration within complex academic or clinical research ecosystems.
WHAT YOU’LL DO
Study Design & Methodology
Consult and advise researchers on study design, statistical analysis strategies, reliability, data collection procedures, statistical power, sample size, and randomization schemes.
Oversee the design, development, and coordination of study forms, instruments, measurement protocols, and equipment.
Statistical Analysis & Data Management
Perform statistical analyses using R, SAS, or other statistical software and apply advanced methods such as regression, mixed-effects, and longitudinal models.
Interpret findings, identify gaps, and translate results into meaningful insights that inform research and policy.
Develop and oversee data management processes to ensure data quality, integrity, and reproducibility.
Advise on and develop REDCap projects, databases, surveys, and other data collection tools, ensuring efficient, secure, and high-quality data capture.
Collaborative Research Support
Provide strategic pre-award methodological support by partnering with investigators to operationalize pediatric research hypotheses into rigorous protocol designs, define primary endpoints, construct robust randomization schemes, and author defensible sample size and power justifications for extramural grant applications.
Translate complex statistical modeling strategies into clear methodological frameworks for multidisciplinary…