Candidates with all levels of degree(s) in Statistics - join us virtually on Thursday, March 12th to learn about our available positions in our Biostatistics department in Cincinnati. Medpace will be hosting a Virtual Hiring Event regarding our opportunities for statistics students in our Cincinnati, OH office. WHEN: Thursday, March 12th, starting at 4:30 PM ET If interested, please fill out an application below. More details regarding the format of the event and link to join will be provided should you be selected to join. We're excited to speak to you! Below are the positions that will be represented at the event: Statistical Analyst MS in Biostatistics/Statistics SAS Programming experience Write statistical programs for use in creating analysis datasets, tables, listings, and figures; Review analysis plans for appropriate methods; Program study analyses and review study results; and Communicate the project requirements for cleanup and data capture to ensure the key study variables are suitable for analysis. Biostatistician PhD in Biostatistics/Statistics Contribute to clinical development of plan preparation; Review of study protocol and preparation of statistical methodologies; Programming of study analysis, review of study results and preparation of statistical methods section for clinical / statistical reports; Communicate project requirements for CRF design, database design and database cleanup to ensure the key study variables are suitable for analysis; and Communicate statistical results to medical writing personnel to ensure accurate interpretation SAS Programmer Bachelor's/Masters in Statistics, related field SAS Programming experience Program edit checks for external data Integrate external data with the mapped database Coordinate communication with Data Manager, Biostatistician, and/or external database providers regarding database specifications and data transfers Data Standard Analyst Bachelor's degree in Statistics, related field SAS Programming experience Implement edit check specifications via SAS programming to assist with reconciliation of data discrepancies; Create annotated CRFs and mapping specifications per CDISC SDTM standards; Create SDTM data via SAS programming by implementing data standards for collected study level source data;
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree