Senior Pediatric Biostatistician & Research Mentor

The Pennsylvania State University; Pennsylvania; Hybrid; USD 72,000 - 137,000; Full time

Benefits offered by this job

75% tuition discount

Job summary

The Pennsylvania State University is seeking a Biostatistician for the Child Health Research Center. This role provides statistical advisory support to investigators and collaborates across a multidisciplinary team to design studies, perform analyses, and ensure robust data management and reproducibility.

The position emphasizes translating complex statistics into actionable study protocols, mentoring researchers, and guiding project execution from design to publication, with a hybrid on-campus

Qualifications

• Bachelor's Degree required; 3+ years of relevant experience or equivalent.
• Ability to collaborate with multidisciplinary teams and stakeholders with varying statistical expertise.
• Proficiency in analytic tools and data management.
• Experience mentoring students, trainees, or junior team members.

Responsibilities

• Advise researchers on study design, power calculations, sampling, and randomization schemes.
• Perform statistical analyses using R/SAS; apply regression, mixed-effects, and longitudinal models.
• Develop and oversee data management processes and reproducible workflows.
• Support pre-award methodological work, including sample size justifications for grants.
• Co-author methodological sections in grants and manuscripts; present results to diverse audiences.

Skills

Statistical consulting

Multidisciplinary collaboration

Mentorship

Communication skills

Independent project management

Education

Bachelor's Degree

Tools

R

SAS

REDCap

Job description

The Pennsylvania State University is seeking a Biostatistician for the Child Health Research Center. This role provides statistical advisory support to investigators and collaborates across a multidisciplinary team to design studies, perform analyses, and ensure robust data management and reproducibility.

The position emphasizes translating complex statistics into actionable study protocols, mentoring researchers, and guiding project execution from design to publication, with a hybrid on-campus