Senior Biostatistician - Child Health Focus

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 12 months; continuation past 12 months will be based on university need, performance, and/or availability of funding.

The Child Health Research Center in the College of Health and Human Development
, is seeking a Senior Professional Biostatistician
. This position is located in State College, PA, at the University Park Campus and will play a vital role in supporting interdisciplinary research aimed at improving child health outcomes.

• 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.

• Perform statistical analyses using SAS or other statistical software packages, including writing programs for treatment randomization, data summaries, and inferential analysis.
• Apply and interpret complex statistical models (e.g., regression, mixed models, survival analysis, longitudinal data analysis).
• Read and interpret findings, address gaps, and draw conclusions to inform research and policy.

• Develop and oversee data management systems across multiple ongoing research projects.
• Implement quality improvement practices and processes to ensure data integrity and reproducibility.

• Collaborate with investigators, postdocs, and students to design and implement statistical analysis plans.
• Provide statistical expertise in interpreting results and translating them into actionable insights.
• Prepare and send data to collaborators in support of cooperative research efforts.

• Collaborate on grant proposals, manuscripts, reports, presentations, and other scientific deliverables.
• Supervise the preparation of statistical reports and communicate results through presentations, written summaries, and data visualizations.
• Author abstracts, manuscripts, and final reports.

• Mentor postdoctoral scholars, graduate students, and undergraduate research assistants.
• Support the professional development of junior team members in statistical methods and research design.
• Make recommendations to researchers informed by new developments in the statistical and mathematical field associated with software and methodology.

• Consulting:
  Ability to communicate complex statistical concepts to non-statistical audiences and provide actionable guidance.
• Data Analysis:
  Proficiency in analyzing large and complex datasets using advanced statistical techniques.
• Data Collection:
  Experience designing and implementing data collection protocols, including surveys and clinical data systems.
• Data Management:
  Expertise in managing, cleaning, and organizing datasets for analysis and reporting.
• Data Visualization:
  Skilled in creating clear, informative visualizations to communicate findings effectively.
• Presentation
  
  Skills:
  
  Strong ability to present statistical findings to diverse audiences, including researchers, funders, and community stakeholders.
• Programming:
  Proficiency in statistical software such as R, or SAS, for data analysis and automation.
• Regression Analysis:
  Deep understanding of linear, logistic, and multilevel regression models.
• Report Writing:
  Ability to write clear, concise statistical reports and contribute to scientific manuscripts.
• Study Design:
  Expertise in designing robust studies…