Location:
Henry Hood Center For Health Research

Shift:
Days (United States of America)

Scheduled Weekly Hours:
40

Worker Type:
Regular

Exemption Status:
Yes

Job Summary:
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.

Job Duties:

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).

Position Details:

COMPETENCIES AND SKILLS:

• 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.

EDUCATION AND/OR EXPERIENCE:

• Master's degree in biostatistics or a closely related field and 10 years of experience - required, or Doctorate degree in biostatistics or a closely related field and 2 years of experience - preferred.
• Experience performing statistical analysis in a healthcare environment.
• Experience managing large datasets in a healthcare environment, required.
• Advanced proficiency with at least one major statistical software package (preferably SAS or R), required

Education:
Master's Degree-Statistics (Required)

Experience:
Minimum of 10 years-Related work experience (Required)

Certification(s) and License(s):

Skills:
Reference Content, Research Analysis, Research And Development Function, Research Documents, Research Methodologies