Biostatistician

Geisinger•Danville, PA

9d•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, 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.

Requirements

Doctorate degree in biostatistics or related field
At least 2 years of experience in a healthcare 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
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
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 administrative staff
Independently provides statistical consultations or collaborations with clinical principal investigators
Strong interpersonal skills and positive attitude to work effectively in a team environment
Possesses the critical thinking skills needed to provide statistical support to clinical investigators
Experienced SAS or R programmer for both data manipulation and statistical analysis
Detail-oriented with excellent validation and documentation skills
Independently uses time management and organizational skills to successfully prioritize concurrent projects
Demonstrates sound judgment and resourcefulness
Management experience
Master’s degree in biostatistics or a closely related field and 10 years of experience - required
Experience performing statistical analysis in a healthcare environment
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)

Nice To Haves

PhD level positions
Doctorate degree in biostatistics or related field and 2 years of experience - preferred

Responsibilities

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
Educating members of the research team in statistical methods and study design
Management experience of junior colleagues
Managing large datasets in a healthcare environment
Programming for data management and complex data analysis using SAS or R