at Northwestern University in Evanston, Illinois, United States
Job Description
Job Opening Id: 53836
Department: MED-Preventive Medicine
Salary/Grade: EXS/8
Job Summary:
The Quantitative Data Sciences Core (QDSC) of the Robert H. Lurie Comprehensive Cancer Center at the Feinberg School of Medicine (FSM) is recruiting a Master's-level statistical analyst to join a highly collegial academic environment in the Division of Biostatistics & Informatics in FSM's Department of Preventive Medicine. This role involves collaborating with cancer research investigators on clinical trials and other clinical, epidemiological, and basic science studies, working under the supervision of Biostatistics faculty members. Duties include managing and analyzing multiple complex datasets; ensuring data integrity, quality, and timeliness of results; developing statistical analysis plans in collaboration with biostatistics faculty; and preparing statistical analysis reports using reproducible pipelines. Level of appointment and responsibilities will be commensurate with experience and education.
Target hiring range for this position will be between $70,017 - $80,000 per year. Offered salary will be determined by the applicant’s education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.
Specific Responsibilities:
Strategic Planning
- Manages and plans for data/analysis requests and projects.
- Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
- Assists in the development of statistical analysis plans.
- Manages multiple ongoing projects.
- Assists in the development of project analysis milestones and timelines, and ensures timely completion.
- Collaborates with Quality Assurance Monitoring team and other groups on data collection tool development and other data management activities.
Administration
- Reviews reports before presentation to ensure quality and accuracy.
- Develops and maintains documentation of process for quality assurance and reporting methodology
Development
- Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
