How you will contribute: Work together with our customer's statistical and programming teams Provide hands-on contributions to customer's statistical programming activities on their trials and projects in drug development Contribute to or lead customer's trial (and potentially project level) activities including oversight of other CROs' deliverables Participate in activities at project level like ISE/ISS, adhoc analyses etc. including specification, dataset programming and reporting Ensure quality and timeliness of own deliverablesas well as good planning and management of team deliverables Communicate effectively with the related stakeholders Contribute to technical or other initiatives, mentor new joiners or more junior programmers, give presentations in internal team meetings etc. as appropriate What you offer: Bachelor degreein Statistics, Life Sciences, Computer Sciences or similar field. Master's level preferred 5 or more years of statistical programming working with clinical trial data in the Pharmaceutical & Biotech industry. Strong proficiency in SAS applied to clinical trial and project data Strong team player, preferably with experience in leading trial activities from a programming perspective Knowledge of CDISC, in particular ADaM and reporting standards Proactive approach and independent learning capabilities Good analytical and troubleshooting skills Experience with pooling, project-level deliverables (ISS/ISE, submission, safety reports etc.) and adhoc work highly desired Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners. Meaningful Work, Collaborative Culture, Stimulating Challenges Our collaborative working environment encourages innovation and rewards results, and we are proud to have one of the lowest turnover rates in the industry. In addition to a competitive compensation, we offer an excellent benefits package, annual bonus incentive, promote work-life balance, and the opportunity to grow with us! Work with respected experts and thought leaders in the fields of biostatistics and statistical programming
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