Location: Evanston, Illinois
Department: MED-Preventive Medicine
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 biostatistician to join a highly collegial academic environment in an expanding Division of Biostatistics in FSM's Department of Preventive Medicine. Responsibilities will include collaboration with biostatistics faculty and cancer research investigators on the analysis of clinical trials and clinical, epidemiological, and basic science projects under the direction of doctoral-level biostatisticians (faculty). Duties may include data management and statistical analysis; managing and analyzing multiple, complex datasets; analysis of clinical trial data; 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.
- 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 clinical trials office and other groups on data collection tool development and other data management activities.
- Develops and maintains documentation of process for quality assurance and reporting methodology
- Assists faculty members in teaching statistical analysis and epidemiologic methods skills
- Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
- Determines data structure for local datasets.
- Cleans and organizes data in preparation for analysis.
- Develops and prepares regular data quality reports.
- Prepares statistical analysis reports, including tables and figures, for meetings with investigators, and for presentations and publications.
- Develops well-documented code using code style best practices.
- Prepares reports using R and R Markdown.
- Prepares structured and well-annotated statistical analysis reports for clinical trials and other research projects, and for meetings with collaborators.
- Develops data collection tools independently and in collaboration with other groups.
- Learns new statistical methods as needed for projects.
- Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
- Performs range, logic and consistency checks, reporting errors when preparing reports.
- Produces readable well-documented code according to code style best practices.
- Maintains professional and clear communication style.
- Adheres to project timelines and deadlines.
- Performs other duties as assigned.
- Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
- 4 years data analysis/report writing or similar experience required.
- Please see information highlighted below.
- High Performance Computing (HPC)
- Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
- Programming Languages and Frameworks
- critical thinking
- data modeling
- database design/ data structure
- decision making
- problem solving
- Code documentation
- Collaboration and teamwork
- Organizational skills
- workflow development & documentation
- write proposals and project charters
Minimum Competencies: (Skills, knowledge, and abilities.)
- Clear and effective oral and written communication skills
- Strong organization and problem solving skills
- Master’s degree in biostatistics or statistics; or equivalent level of education or experience.
- Proficiency with R, R Markdown and SAS programming for data management and analysis.
- Commitment to writing clean, well-documented code.
- Excellent written and oral communication skills.
- Ability to work independently to manage multiple projects and efficiently accomplish specific responsibilities
- Experience in clinical trials analysis
- Experience in cancer research
- Knowledge in genetics and bioinformatics
- Experience with data management and quality control
- Experience using high performance computing clusters
- Proficiency in REDCap and R/REDCap API
- Knowledge of medical/institutional research procedures
Preferred Competencies: (Skills, knowledge, and abilities)
- Knowledge of survival analysis
- Knowledge of model selection and model diagnostics
- Proficiency in R/tidyverse
At Northwestern, we are proud to provide meaningful, competitive, high-quality health care plans, retirement benefits, tuition discounts and more! Visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.