Responsibilities include developing SAS programs to create analytic datasets, validate data quality, perform statistical analyses, and prepare results for manuscripts, presentations and reports. Additionally, the analyst will develop and manage Microsoft Access and REDCap databases and oversee data entry by other staff. The studies and data will include large relational databases with cross-sectional but primarily repeated measures or time to event analyses that require a knowledge of time-varying causal inference modeling. The position requires the ability to develop an in-depth understanding of our data and data structures as well as the ability to translate specifications into SAS programming logic.
Principal duties and responsibilities include:
In collaboration with the PI, participates in the design of statistical analysis plans, prepares and merges datasets, and performs statistical analyses primarily using SAS and occasionally using STATA or R.
Assists researchers with writing and preparing tables/figures for analyses, reports, scientific papers, grants and presentations.
In collaboration with project managers, develops, implements and/or maintains an orientation and training program related to data entry and data management for all study staff.
Functions as a resource for all study issues related to data entry, coding, quality and management. Identifies problems and develops solutions.
In collaboration with MSU Biomedical Research Informatics Core and project managers, develops, maintains, oversees, and improves databases and REDCap surveys for research projects.
Responds promptly to study staff to solve issues/questions about data management, automated scheduling processes, and other database procedures.
Extracts, queries and edits information in relational databases.
Documents all aspects of data management, such as database structure and related data cleaning procedures, and documents all statistical analyses performed.
All other duties as assigned.
Unit Specific Education/Experience/Skills
Knowledge equivalent to that which normally would be acquired by completing one or two years of post-bachelor degree work, such as a Master's in Educational Administration, Statistics, Economics or Research Methodology; three to five years of related and progressively more responsible or expansive work experience in research design, statistical methods and knowledge of computer hardware and software; or an equivalent combination of education and experience.
Bachelor’s degree in science-related field required.
Master’s degree in biostatistics, epidemiology, data science or similar field preferred.
One to two years of SAS programming experience.
One to two years of experience with survival and repeated measures modeling.
One to two years of database management experience and/or training or equivalent training and experience, preferably with health-related data.
Previous experience in clinical or epidemiologic research is required
Flexible and able to productively interact with a diverse research team including investigators, project managers, coordinators, and research staff to accomplish project goals.
Highly organized, with decision-making skills, initiative, and ability to work as part of a growing data management team.Must possess a great deal of integrity to maintain confidentiality of all research data. Must demonstrate accuracy in maintaining data.
Fundamental knowledge of data management, clinical research, epidemiology, and biostatistics.
Knowledge of computerized data entry programs such as Microsoft Access and REDCap.
Knowledge of medical and analytical terminology.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.
Required Application Materials
Three references listed
Technical Writing Sample (e.g., write-up of analytic methods and results)
Bidding and Eligibility Ends on 9/15/2020 at 11:55 PM
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