Biostatistician

Job Summary

The Biostatistics Core at Geisinger collaborates closely with researchers across the health system, providing comprehensive support throughout all stages of the research process—from proposal development to data analysis and interpretation. Core members offer expertise in:

• Refining research questions and hypotheses
• Designing studies and selecting variables
• Estimating sample size and statistical power
• Developing analysis plans
• Designing data collection methods and randomization schemes
• Managing data and conducting biostatistical analyses The Core consists of 10 members with a mix of MS and PhD level positions. Members collaborate with departments across the health system including Community Medicine, Surgery, Cardiology, Otolaryngology, Pediatrics, Women’s Health, among others and support full-time research faculty on grant related efforts.

The Biostatistics Core at Geisinger collaborates closely with researchers across the health system, providing comprehensive support throughout all stages of the research process—from proposal development to data analysis and interpretation. Core members offer expertise in:

• Refining research questions and hypotheses
• Designing studies and selecting variables
• Estimating sample size and statistical power
• Developing analysis plans
• Designing data collection methods and randomization schemes
• Managing data and conducting biostatistical analyses The Core consists of 10 members with a mix of MS and PhD level positions. Members collaborate with departments across the health system including Community Medicine, Surgery, Cardiology, Otolaryngology, Pediatrics, Women’s Health, among others and support full-time research faculty on grant related efforts.

The Biostatistics Core is seeking a full-time doctorate-level biostatistician.

• Collaborating on the design of clinical research studies
• Writing biostatistical analysis plans for research proposals and grants
• Calculating sample size and power, managing, analyzing, and interpreting study data and results, contributing to study publications, and educating members of the research team in statistical methods and study design
• Experience in logistic regression, time-to-event (survival), and observational data analysis methods are essential as well as the fundamentals of model building.

The successful candidate will have a doctorate degree in biostatistics or related field with at least 2 years of experience in a healthcare environment, and management experience of junior colleagues. They should possess a solid understanding of clinical research, excellent communication skills, work independently and ability to handle multiple projects to meet deadlines in a multidisciplinary research environment. Experience managing large datasets in a healthcare environment is required.

The candidate must have experience in programming for data management and complex data analysis using SAS or R. This position has the potential to be remote.

Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

• Relevant experience may be a combination of related work experience and degree obtained (PhD = 4 years).

• Advanced skills and knowledge in biostatistics, statistical methods in medical and clinical research, and epidemiology.
• Demonstrates excellent written and oral communication skills.
• Demonstrates ability to effectively communicate quantitative information to medical personnel and…