Assistant Professor, Biostatistics - Hybrid Onsite

About the role

Provides strategic guidance and expertise in statistical and health data science methodologies for research design and analysis, with a focus on clinical research projects. Works collaboratively with other investigators, clinicians, and scientists in facilitating research.

Responsibilities

• Applies statistical and health data science methods to research projects, with a focus on externally funded research projects.
• Provides strategic direction in research protocol development, biostatistics/statistics, database design/maintenance, and manuscript development/review process.
• Supports applications for grant funding and/or patents as appropriate.
• Responsible for the statistical analysis of research data.
• Submits manuscripts and abstracts for publication/presentation.
• Participates in departmental and institutional committees and activities.
• Provides technical guidance to statistical research staff.
• Provides education and training in statistical methods and applications, as needed.
• Performs related duties as required.

Requirements

• Doctoral degree in Statistics, Biostatistics or a closely related field.
• 10+ years of relevant experience and 2+ years of leadership/management experience (relevant experience during PhD training, postdoctoral work, or equivalent roles will be considered).
• Strong programming skills in statistical software.

Preferred Skills

• A track record of participation in externally funded research, preferably with experience in oncology clinical trials.
• A record of scholarly achievement, including publications in peer-reviewed journals and presentations at academic conferences.
• Strong collaboration and effective communication skills.

Salary

The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).