Experienced Biostatistician II for Internal Medicine Research and Development - Utilizing Advanced Statistical Techniques for Clinical Outcomes and Medical Research Innovations

Introduction to the University of Arizona College of Medicine-Phoenix

The University of Arizona College of Medicine-Phoenix is a leading institution in medical education and research, committed to improving human health through innovative research and exceptional patient care. Our Department of Internal Medicine is dedicated to advancing the field of internal medicine through cutting-edge research, education, and clinical practice. We are seeking a highly skilled and motivated Biostatistician II to join our team, contributing to the development of novel statistical methods and analyses that drive medical research forward.

Job Overview

We are looking for an experienced Biostatistician II with a strong background in clinical outcomes research and a passion for applying advanced statistical techniques to drive medical innovations. As a Biostatistician II in our Department of Internal Medicine, you will have the opportunity to work closely with clinicians, researchers, and medical students to design, analyze, and interpret data from various research studies. Your expertise will be crucial in developing novel algorithms, machine learning, and deep learning techniques to accelerate medical research and improve patient outcomes.

Key Responsibilities

• Collaborate with biomedical investigators, medical students, and researchers to develop study objectives, design sampling and data collection procedures, and determine appropriate statistical methodologies.
• Perform power and sample size analyses, develop plans for study monitoring and statistical analysis, and draft the statistical section for IRB applications and grant proposals.
• Assume primary responsibility for data analysis and presentation, including the selection and application of appropriate statistical methods, data visualization, and interpretation of results.
• Design and implement study activities, process improvements, and provide consultation, technical assistance, and coordination for medical students and investigators.
• Develop and maintain databases, assess data quality, and evaluate sources of existing data to determine limitations and reliability.
• Stay up-to-date with the latest software packages and techniques in data analytics and visualization, including Python programming, PowerBI, REDCap, PySpark, Scikit-Learn, and PyTorch.

Essential Qualifications

To be successful in this role, you will need:

• A Bachelor's degree or equivalent advanced learning attained through professional-level experience in biostatistics, statistics, or a related field.
• A minimum of three years of relevant work experience in biostatistics, clinical research, or a related field, or an equivalent combination of education and work experience.
• Excellent problem-solving, organizational, written, and oral communication skills, with the ability to manage multiple priorities and attention to detail.

Preferred Qualifications

Preferred candidates will have:

• A Master's degree in biostatistics, statistics, or a related field.
• Python programming skills and experience with PowerBI, REDCap, PySpark, Scikit-Learn, and PyTorch.
• Previous experience in research, applied statistics, data mining, and machine learning.
• Strong motivation and dedication to scientific discovery, with a passion for contributing to innovative medical research.

Skills and Competencies

The ideal candidate will possess:

• Advanced knowledge of statistical theory, methods, and applications in clinical research.
• Excellent analytical and problem-solving skills, with the ability to interpret complex data and communicate results effectively.
• Strong programming skills in languages such as Python, R, or SQL.
• Experience with data visualization tools, such as PowerBI, Tableau, or D3.js.
• Excellent communication and interpersonal skills, with the ability to work collaboratively with clinicians, researchers, and medical students.

Career Growth Opportunities and Learning Benefits

As a Biostatistician II at the University of Arizona College of Medicine-Phoenix, you will have access to:

• Opportunities for professional growth and development, including training and education in advanced statistical techniques and software packages.
• Mentorship and collaboration with experienced biostatisticians and researchers.
• Participation in innovative research projects, with the potential for publication and presentation of results.
• A dynamic and supportive work environment, with a commitment to work-life balance and employee well-being.

Work Environment and Company Culture

The University of Arizona College of Medicine-Phoenix is committed to creating a diverse and inclusive work environment, with a strong focus on:

• Collaboration and teamwork, with a emphasis on open communication and mutual respect.
• Professional development and growth, with opportunities for training and education.
• Work-life balance, with a commitment to employee well-being and flexibility.
• Diversity, equity, and inclusion, with a strong focus on creating a welcoming and inclusive environment for all employees.

Compensation, Perks, and Benefits

We offer a competitive salary range of $65,687 - $85,393 per year, depending on experience, as well as a comprehensive benefits package, including:

• Health, dental, and vision insurance plans.
• Life insurance and disability programs.
• Paid vacation, sick leave, and holidays.
• UA/ASU/NAU tuition reduction for the employee and qualified family members.
• State and optional retirement plans.
• Access to UA recreation and cultural activities.

Conclusion

If you are a motivated and experienced biostatistician looking to contribute to innovative medical research, we encourage you to apply for this exciting opportunity. As a Biostatistician II at the University of Arizona College of Medicine-Phoenix, you will have the chance to work with a dynamic team of researchers and clinicians, applying advanced statistical techniques to drive medical discoveries and improve patient outcomes. Don't miss this opportunity to join our team and contribute to the advancement of medical research – apply now!