Job Primary FunctionsPerform the role of the Lead Statistical ProgrammerPlan, execute and oversee all programming activities on a study, including but not limited to, resource estimation, working within budget, meeting timelines, maximizing quality, interaction with other departments and the client, etc.Develop and maintain SAS programs to create SDTM and ADaM datasets and TFLs, and perform QC of SDTM, ADaMs and TFLsProduce Define XML/PDFs, Analysis Results Metadata (ARM), annotated eCRFs and Reviewers Guides to support SDTMs and ADaMsDevelop specifications for SDTMs and ADaM datasetsReview SAPs and TFL shells from a programming perspective for studiesMentor less:experienced programmers in the processes around SDTMs, ADaMs and TFLsPresent and share knowledge at department meetingsRespond to QA and client audits, and support qualification auditsIdentify processes within programming that will increase productivity, quality and efficiencyJob QualificationsTypically 3:5 years of SAS(R) programming experience in the CRO or Pharmaceutical industry, or an equivalent combination of education and experienceto successfully perform the key responsibilities of the jobPrevious Lead experience as a Statistical Programmer within a biotech, CRO or pharma companyExcellent organizational, time management and project management skills with team leadership experience, as demonstrated by ability to organize and motivate project teams and the ability to delegate and prioritize work to meet project timelinesKnowledge of CDISC requirementsPrevious oncology experience desired but not essentialPositive attitude and willingness to learn and contribute in a team setting and communicate effectively within the team environmentGood organization skills and the ability to prioritize own workSelf motivation and ability to work independentlyA cooperative and team:oriented approachLabcorp is proud to be an Equal Opportunity Employer:As an EOE/AA employer, the organization will not discriminate in its employment practices due to an applicants race, age, color, religion, sex, national origin, sexual orientation, gender identity, disability or veteran status.For more information about how we collect and store your personal data, please see our Privacy Statement.
