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Job Summary

The Biostatistics Core works collaboratively with researchers across Geisinger. The Core assists investigators throughout all stages of research from proposal drafting to analysis and interpretation and offers training in biostatistics. Specifically, 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 currently consists of 10 members with a mix of MS- and PhD level positions. Members collaborate with departments across the health system including Medicine, Surgery, Cardiology, Musculoskeletal, Pediatrics, Women's Health, among others, as well as support full-time faculty on grant related efforts.

Job Duties

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

Work is typically performed in an office 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.

Position Details

Preferred Qualifications:

• 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 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.

Education

Master's Degree-Statistics (Required)

Experience

Minimum of 4 years-Related work experience (Required)

Certification(s) and License(s)

OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. SAFETY: We provide a safe environment for our patients and members and the Geisinger family We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, from senior management on down, we encourage an atmosphere of collaboration, cooperation and collegiality. We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

We are an Affirmative Action, Equal Opportunity Employer Women and Minorities are Encouraged to Apply. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status.

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