Epidemiology Analyst; Research Analyst in Neurosurgery

Working Title

Epidemiology Analyst (Research Analyst I) in Neurosurgery

The Ostrom Lab in the Department of Neurosurgery is looking for an experienced research analyst to join our team focused on identifying risk factors for primary and metastatic brain tumors. This role involves providing leadership and expertise in conducting complex research activities, including planning, organizing, conducting, and communicating multiple research epidemiological studies.

• An understanding of core statistical methods and statistical programming for monitoring data quality, modifying and cleaning data for analyses and performing statistical analysis.
• Prior experience with cancer registry data and/or large administrative databases such as Medicare, or Electronic Health record data
• Experience in R programming
• The ability to work independently to perform intermediate and advanced statistical analysis and programming.
• Experience in survival analysis.
• Simultaneous balancing of multiple competing projects and deadlines
• Working in close collaboration with the principal investigator and multi-institutional project teams.
• Interpreting and communicating statistical results and methods.
• Reviewing and editing manuscripts, abstracts, and presentations.

• Performing complex data management tasks in SAS, R, and/or python.
• Experience in geospatial modeling.
• Experience in analyzing data from genome-wide association studies and related downstream analyses (mendelian randomization, LD score regression).

• Lead, coordinate, and perform a variety of complex independent and team activities involved in the collection, analysis, documentation and interpretation of clinical or genomic related information.
• Coordinate the development of research materials and the application of qualitative and quantitative research techniques; write procedures manuals for data collection and coding.
• Establish work procedures; select sources of information and specific data;
  Prepare correspondence to locate the specific data required.
• Train lower-level personnel and peers in research methodology.
• Supervises the work of lower-level employees and trainees engaged in the data analysis.
• 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 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 project management independently.

• Evaluates and interprets data and prepares oral presentations or written reports.
• Confer with principal investigator to discuss the interpretation of results and the preparation of manuscripts for publication.
• 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, combines multiple disparate raw databases and derives analysis variables accurately.
• Prepares statistical analysis plans in collaboration with principal investigator, 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.

• Collaborates effectively with principal investigator, research group, 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…