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Biostatistical Analyst II (Remote Capable) - Job Opportunity at Geisinger

Danville, PA, US
Full-time
Mid-level
Posted: June 1, 2025
Hybrid
Based on the mid-level requirements, Pennsylvania location, and healthcare sector focus, this position likely offers compensation in the range of $75,000-$95,000 annually. The 4+ years experience requirement and master's degree qualification, combined with Geisinger's status as a major health system, suggests positioning in the upper portion of this range, particularly given the specialized nature of clinical biostatistics work.

Benefits

Comprehensive healthcare coverage from day one including medical, dental, and vision insurance, providing immediate financial protection and healthcare access that many employers delay
Domestic partner benefits recognition, demonstrating progressive workplace policies and inclusive employee support
Collaborative work environment fostered by senior management, creating opportunities for professional networking and mentorship

Key Responsibilities

Lead independent statistical consultations with clinical principal investigators across multiple medical departments, directly influencing research outcomes and medical advances
Design and implement comprehensive study methodologies including data collection protocols and randomization schemes that shape the validity of clinical research
Develop publication-quality analytics and contribute to manuscript preparation, establishing professional reputation in the biostatistics field
Educate medical residents and clinical staff on statistical methods, positioning yourself as a subject matter expert and thought leader
Manage and analyze large healthcare datasets to generate insights that inform clinical decision-making and patient care improvements
Collaborate on grant proposals and research funding initiatives, contributing to the financial sustainability of research programs

Requirements

Education

Master's degree in biostatistics or a closely related field, required

Experience

Experience performing statistical analysis in a healthcare environment, 4 years required

Required 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 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 Experience in logistic regression, time-to-event (survival), and observational data analysis methods Experience managing large datasets in a healthcare environment
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Sauge AI Market Intelligence

Industry Trends

Healthcare analytics and biostatistics are experiencing unprecedented growth driven by precision medicine initiatives, with the global healthcare analytics market projected to reach $50.5 billion by 2024. This trend is creating sustained demand for biostatisticians who can bridge clinical research and data science. The integration of real-world evidence (RWE) into regulatory decision-making by the FDA has elevated the importance of observational data analysis skills, making professionals with expertise in handling large healthcare datasets increasingly valuable. Remote and hybrid work models have become permanent fixtures in biostatistics roles, with healthcare organizations recognizing that statistical analysis work can be effectively performed remotely, expanding talent pools and improving work-life balance. The COVID-19 pandemic has accelerated the adoption of digital health technologies and electronic health records, creating new opportunities for biostatisticians to work with larger, more complex datasets than ever before.

Role Significance

The role involves working within a 10-member biostatistics core team, suggesting a collaborative environment where this position represents approximately 10% of the statistical expertise within the organization. The analyst will likely interface with multiple research teams simultaneously across various medical departments.
This is a mid-level professional role with significant autonomy and decision-making authority. The 'Level II' designation and independent consultation responsibilities indicate this position sits above entry-level analysts but below senior leadership roles, representing a key contributor level within the biostatistics team.

Key Projects

Clinical trial design and analysis for multi-departmental research initiatives spanning cardiology, surgery, pediatrics, and women's health Grant proposal statistical sections and power calculations for federal and foundation funding applications Observational studies using electronic health record data to generate real-world evidence Manuscript preparation and peer-review publication support for clinical research teams Educational program development for medical residents and clinical staff in statistical methods

Success Factors

Mastery of both SAS and R programming languages is critical, as healthcare organizations increasingly require flexibility between enterprise-level SAS implementations and the innovative capabilities of R for advanced analytics and visualization The ability to translate complex statistical concepts into actionable insights for clinical teams is essential, as biostatisticians serve as bridges between data science and medical practice Strong project management and prioritization skills are vital given the multi-departmental collaboration requirements and the need to balance multiple concurrent research projects with varying timelines and stakeholder expectations Continuous learning and adaptation to emerging statistical methodologies and regulatory requirements in clinical research, particularly as precision medicine and real-world evidence approaches evolve

Market Demand

High demand driven by increased focus on evidence-based medicine, regulatory requirements for statistical rigor in clinical research, and the growing emphasis on data-driven healthcare decision making across health systems.

Important Skills

Critical Skills

SAS or R programming proficiency is absolutely essential as these tools form the foundation of all data manipulation and analysis work. Healthcare organizations typically standardize on one platform, making deep expertise in at least one of these languages non-negotiable for effective job performance Experience with survival analysis and logistic regression represents core competencies in clinical research, as these methods are fundamental to analyzing patient outcomes, treatment effectiveness, and risk factor identification in healthcare settings Large dataset management skills are critical given the volume and complexity of electronic health record data, requiring ability to work with messy, real-world data that often requires extensive cleaning and validation Clinical research understanding is essential for effective collaboration with medical teams, as biostatisticians must understand study design principles, regulatory requirements, and clinical significance to provide meaningful analytical support

Beneficial Skills

Machine learning and artificial intelligence techniques are increasingly valuable as healthcare organizations explore predictive modeling and precision medicine applications Regulatory knowledge of FDA guidelines and Good Clinical Practice (GCP) standards enhances value in clinical trial environments and pharmaceutical collaborations Geographic Information Systems (GIS) and spatial analysis skills are growing in importance for population health research and healthcare delivery optimization Grant writing experience adds significant value as research funding becomes increasingly competitive and requires sophisticated statistical justification

Unique Aspects

The position offers exposure to an integrated health system model where biostatisticians can observe the full continuum from research to clinical implementation, providing unique insights into how statistical analysis translates into real-world healthcare delivery improvements
Access to large-scale electronic health record data from both the hospital system and insurance operations creates opportunities to work with datasets that many biostatisticians in traditional academic or pharmaceutical settings never encounter
The 10-member biostatistics core represents a substantial investment in statistical expertise, indicating strong organizational commitment to research rigor and providing excellent mentorship and collaboration opportunities
Remote work capability in a traditionally location-dependent healthcare role offers flexibility while maintaining connection to cutting-edge clinical research

Career Growth

Typical progression to senior-level roles occurs within 3-5 years with demonstrated success in independent project leadership and publication record. Management positions typically require 5-8 years of progressive experience and proven team leadership capabilities.

Potential Next Roles

Senior Biostatistician or Principal Biostatistician roles within 3-5 years, involving more complex study designs and leadership of junior staff Biostatistics Manager or Director positions, overseeing statistical operations for entire research programs or health systems Independent statistical consultant roles, leveraging healthcare expertise to serve multiple organizations Academic positions at medical schools or schools of public health, combining research with teaching responsibilities Regulatory affairs roles at pharmaceutical companies or FDA, applying statistical expertise to drug approval processes

Company Overview

Geisinger

Geisinger is an integrated health system serving Pennsylvania and New Jersey, recognized as a pioneer in healthcare delivery innovation and population health management. Founded in 1915, the organization operates multiple hospitals, clinics, and a health insurance plan, creating a unique environment for comprehensive healthcare research. Geisinger has a strong reputation for clinical research excellence and has been involved in groundbreaking studies in genomics, cardiovascular medicine, and healthcare delivery models.

Geisinger holds a strong regional market position as one of the largest health systems in Pennsylvania, with national recognition for healthcare innovation and research capabilities. The organization's integrated model of combining healthcare delivery with insurance operations provides unique research opportunities and financial stability that many traditional health systems lack.
Based in Danville, Pennsylvania, this role is positioned in a smaller metropolitan area that offers lower cost of living compared to major cities while providing access to a sophisticated healthcare research environment. The rural Pennsylvania location may limit some professional networking opportunities but offers the advantage of being a key contributor in a close-knit research community.
Geisinger's emphasis on collaboration, innovation, and learning creates an environment that supports professional development and cross-functional teamwork. The organization's commitment to research excellence and evidence-based practice aligns well with biostatistics career development, offering opportunities to contribute to meaningful healthcare improvements while building a strong publication record.
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