Senior Statistical SAS Programmer - home- or office-based, Eastern Europe in Bucuresti

As an experienced SAS Programmer in our Clinical Development Services (CDS) business unit, you are central to the successful delivery of complex clinical trials for renowned, innovative and global top pharmaceutical and biotech companies. Oftentimes you will have the opportunity to lead studies through various phases of the clinical development plan and support submissions, regulatory questions, publications as well as ad hoc and post hoc requests. In this role, you will develop and validate SAS programs for data presentation, analyses, and provide programming support to your multidisciplinary global project team.This position allows you to participate in the development of innovative new benchmark drugs for a wide variety of therapeutic areas such as oncology, cardiovascular, respiratory, neurological, diabetes, rare diseases, pain, immunology etc. Your expertise and your work as a statistical programmer has a direct impact on improving the health and lives of thousands of patients around the globe every day. Join us and see why more than 90% of the top 20 global pharmaceutical companies are repeat customers!Your work location can be 100% home-based anywhere in one of the Eastern European countries listed on this job posting – or, if you prefer, in any of our offices in these countries.What else can you expect from us?Rewarding and meaningful work in an established, diverse, highly profitable and respected global companyHighly competitive compensation packages, including various local benefits such as pension contributions, complimentary health insurance plans, remote working allowances etc.A genuine work life balanceFlexibility in working hoursA thorough onboarding with support from your personal mentorA permanent employment contract with Labcorp Drug DevelopmentExcellent training and career development opportunities, as well as support with advancing your individual educationStrong support from your Labcorp Line Manager and your team, as well as from more than 20,000 colleagues worldwideYour responsibilities:Review SAPs and TFL shells from a programming perspectiveAdvise on the development of complex TFL shells from a programming perspectiveDevelop and/or lead the development of complex specifications for SDTMs and ADaM datasetsDevelop and maintain SAS programs to create SDTM and ADaM datasets and TFLs, and perform quality control of SDTM, ADaMs and TFLsProduce / define XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMsRespond to QA and client audits and support qualification auditsIdentify and propose innovative ways to improve the efficiency, quality and productivity of clinical statistical programming at LabcorpMaintain awareness of industry standards, global regulatory requirements, internal guidelines and Standard Operating Procedures (SOP’s)Your profile:Degree in a relevant field such as mathematics, life sciences, statistics, computer sciences, etc.In lieu of the above: an equivalent completed vocational training and / or equivalent professional experience in statistical programmingSolid professional experience as a statistical programmer within a biotech, CRO or pharmaceutical companyDemonstrated knowledge of base SAS, SAS macros, SAS/STAT; demonstrated ability to debug SAS programsProven professional experience with SDTMs, ADaM datasets and TFLsOncology and / or submission experience desirable but not essentialStrong organizational skills, an autonomous and collaborative work style, a curious mind and a keen attention to detailBusiness fluency in English – both verbal and written – is a mustREMOTE#LI-AR1Labcorp 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 applicant's 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.