Biostatistician II — Clinical Research Analytics

Geisinger; Danville (PA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

The Biostatistics Core at Geisinger collaborates with researchers across the health system, offering expert biostatistical support through all research stages—from proposal development to data interpretation. The team includes MS- and PhD-level professionals and collaborates with multiple departments within Geisinger.

We seek a master’s-level biostatistician with healthcare data experience to design studies, perform power calculations, analyze data, and contribute to publications while mentoring

Qualifications

• Master’s degree in biostatistics or related field is required.
• Minimum 4 years of consulting or healthcare experience.
• Experience managing large healthcare datasets.
• Proficiency with SAS or R is essential.
• Proficiency in logistic regression and time-to-event analyses is expected.

Responsibilities

• Collaborate on design of clinical research studies.
• Write biostatistical analysis plans for proposals and internal grants.
• Calculate sample size and study power.
• Design appropriate study designs and data collection methods.
• Prepare publication-quality graphics and assist manuscript preparation.
• Manage, analyze, and interpret study data and results.
• Provide statistical consultations to investigators.
• Maintain SAS or R and install upgrades.
• Educate residents and research staff on statistical techniques.

Skills

Biostatistics expertise

Data analysis

Communication skills

Critical thinking

Education

Master's degree in biostatistics or related field

Tools

SAS or R programming

Job description

The Biostatistics Core at Geisinger collaborates with researchers across the health system, offering expert biostatistical support through all research stages—from proposal development to data interpretation. The team includes MS- and PhD-level professionals and collaborates with multiple departments within Geisinger.

We seek a master’s-level biostatistician with healthcare data experience to design studies, perform power calculations, analyze data, and contribute to publications while mentoring