The Biostatistics Core collaborates with researchers across Geisinger. The Core assists investigators throughout all stages of research from proposal drafting to analysis and interpretation. Core members assist with research question and hypothesis specification, study design and variable selection, sample size and power estimation, analysis plan, data collection design, randomization, data management, and biostatistical analysis. The Core also provides training in biostatistics to clinicians, residents and fellows. Members collaborate with several clinical departments including Cardiology, Critical Care, Dermatology, Maternal-Fetal Medicine, and others, and support full-time faculty on grant related efforts. The Core currently consists of 9 members with a mix of MS- and PhD level positions.
The Biostatistics Core is seeking a full-time master's-level biostatistician. Responsibilities include collaborating on design of clinical research studies, writing biostatistical analysis plans for research proposals and internal grants, calculating sample size and power, managing, analyzing and interpreting study results. Experience in logistic regression, time-to-event (survival), and observational data analysis methods are essential as well as the fundamentals of modeling building. The successful candidate will have a master's degree in biostatistics or related field, solid understanding of clinical research, excellent communication skills, and ability to handle multiple projects to meet deadlines in a multidisciplinary research environment. Experience managing large datasets in a healthcare environment preferred. The candidate must have experience in programming for data management and complex data analysis using SAS or R.
COMPETENCIES AND SKILLS:
Advanced skills and knowledge in biostatistics, statistical methods in medical and clinical research, and clinical epidemiology
Demonstrates excellent written and oral communication skills. Demonstrates ability to effectively communicate quantitative information to medical personnel and administrative staff.
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.
EDUCATION AND/OR EXPERIENCE:
Master's degree in biostatistics or a closely related field, required.
Consulting experience in a healthcare environment (2 or more years preferred), 1 year required.
Experience with at least one major statistical software package (preferably SAS), required.
WORKING CONDITIONS/PHYSICAL DEMANDS:
Work is typically performed in an office environment.