Biostatistician

Geisinger•Danville, PA

4d•Hybrid

About The Position

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, and 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. Responsibilities include 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).

Requirements

Doctorate degree in biostatistics or related field
At least 2 years of experience in a healthcare environment
Management experience of junior colleagues
Solid understanding of clinical research
Excellent communication skills
Ability to work independently
Ability to handle multiple projects to meet deadlines in a multidisciplinary research environment
Experience managing large datasets in a healthcare environment
Experience in programming for data management and complex data analysis using SAS or R
Experience in logistic regression, time-to-event (survival), and observational data analysis methods
Fundamentals of model building
Master’s degree in biostatistics or a closely related field and 10 years of experience - required
Advanced proficiency with at least one major statistical software package (preferably SAS or R), required
Master's Degree-Statistics (Required)
Minimum of 10 years-Related work experience (Required)