The division of Neuro-Epidemiology in the department of Neurosurgery is looking for an experienced biostatistician to join our team focused on identifying risk factors for primary and metastatic brain tumors, and provide support on multiple research projects by conducting intermediate-level statistical analysis and interpretation as well as writing statistical reports.
This position requires:
* An intermediate understanding of core statistical methods and statistical programming for monitoring data quality, modifying and cleaning data for analyses and performing statistical analysis.
* Familiarity with cancer registry data and large administrative databases such as Medicare, or Electronic Health record data
* Knowledge of and experience in R programming
* The ability to work independently to perform basic and intermediate statistical analysis and programming
* Simultaneous balancing of multiple competing projects and deadlines
* Working in close collaboration with the principal investigator and multi-institutional project teams.
Preferred skills
* Performing complex data management tasks in SAS, R, and/or python.
* Experience in survival analysis.
* Experience in geospatial modeling.
* Experience in analyzing data from genome-wide association studies and related downstream analyses (mendelian randomization, LD score regression).
Work Performed
Statistical analysis (60%)
* Perform data management for multiple types of data including but not limited to cancer registry data, patient clinical data, environmental exposure data and genetic data.
* Create analytic datasets that have been appropriately checked for errors. Combines multiple disparate raw databases and derives analysis variables accurately.
* Prepares statistical analysis plans in collaboration with PI, other lab members, and outside collaborators.
* Research the literature for modern statistical designs and analyses that can be applied to the data and necessary documentation. Learns new statistical methods as needed, and applies new skills to future projects.
* Independently generates descriptive and basic test statistics, data analysis and generates statistical modeling results.
Collaboration (10%):
* Collaborates effectively with PI, and internal/external collaborators.
* Identifies potential data problems from analytic queries and brings them to the attention of the team.
* Demonstrates understanding of project data sets and shares knowledge with collaborators.
* Participates in most statistical aspects of a research project, with consultation or assistance when needed.
* Represents the functional group in project team meetings and contributes constructively to project discussions.
Dissemination (20%).
* Documents analyses, creates summaries, and presents results in written and verbal form to research teams during project meetings.
* Contributes to analysis and writing without guidance during all phases of manuscript and report development and revision.
* Independently drafts methods and results sections for inclusion in manuscripts submitted to peer-reviewed journals, abstracts, and grants.
Project management (10%)
* Develops leadership and communication skills and shares them with others.
* Is highly organized, with the initiative, and technical aptitude to work with limited supervision.
* Ability to identify problems and solve them pragmatically.
* Manages project responsibilities with decreasing levels of supervision or regular support and takes initiative to complete project-specific responsibilities with minimal supervision.
* Understands the project scope of work and accurately projects to the time and effort needed to complete each phase of project. Recognizes when changes to scope will require significantly more effort than allotted and bring this to the attention of the study team.
* Creates timelines for statistical project management, with assistance from PI.
