Biostatistical Analyst II (Remote Capable)

Geisinger • Danville, PA

90d

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. The Biostatistics Core is seeking a full-time master’s-level biostatistician. Responsibilities include collaborating on the 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 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 master’s degree in biostatistics or related field with at least 4 years of consulting experience in a healthcare environment. 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, depending on the candidate.

Requirements

• Master's degree in biostatistics or a closely related field
• Minimum of 4 years of related work experience in a healthcare environment
• Experience managing large datasets in a healthcare environment
• Advanced proficiency with at least one major statistical software package (preferably SAS or R)
• Experience in logistic regression, time-to-event (survival), and observational data analysis methods
• Excellent written and oral communication skills
• Strong interpersonal skills and positive attitude to work effectively in a team environment
• Critical thinking skills needed to provide statistical support to clinical investigators
• Detail-oriented with excellent validation and documentation skills
• Time management and organizational skills to successfully prioritize concurrent projects
• Sound judgment and resourcefulness

Responsibilities

• Collaborating on the 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 data and results
• Contributing to study publications
• Educating members of the research team in statistical methods and study design
• Independently providing statistical consultations or collaborations with clinical principal investigators
• Developing the appropriate study design
• Determining the type of analysis for selected studies
• Designing appropriate methods of data collection
• Preparing publication quality graphics
• Assisting in manuscript preparation as needed
• Participating in research committees

Benefits

• Healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners
• Encouragement of an atmosphere of collaboration, cooperation and collegiality

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees