Data Mining Analyst

  • San Antonio, TX

Company Description

We’ve honed our ability to navigate change and developed a broad toolset to address key challenges. Most importantly, you’d expect us to deliver and we do.

Job Description

our deep industry knowledge coupled with our close partnerships with clients enable us to bring fresh perspectives and creative thinking to the problems we solve. Our entrepreneurial spirit drives us to continually discover better ways to address clients' needs, ultimately effecting positive change for them, for their industries and for the world. Our thought leadership is evident in our agenda-setting books, white papers, research reports, and articles in the business press. To that end, our Institute connects the firm with prominent leaders of the academic community for joint research on frontier issues. The firm's capabilities and intellectual capital are enhanced by our deep industry expertise, geographic range, analytical rigor, and hands-on, collaborative approach. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. We also work side by side with senior executives to accelerate execution through a blend of analytical and management approaches. As a result, we have a tangible impact on clients’ top and bottom lines.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  Job Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  - provide SAS programming activities for the monitoring, reporting, and analysis of clinical trials and will deliver against the overall protocol timelines and quality goals within the study teams.                                                                                                                                                                                                                                         - Collaborate with project biostatistician in the creation, implementation, and maintenance of execution plan accounting for timeline, resource and quality of the projects                                                                                                                                                                                                                                         - Ensures that all statistical programs comply with the programming coding standards and utilize available standard reporting systems, as well as macro utility programs.                                                                                                                                                                                                                                         - Support statistical programming applications that are used to generate clinical study reports.                                                                                                                                                                                                                                         - Support ADS and TLG generation, and assist with the development of work flow and SOPs for Biostatistics and Statistical Programming operations.                                                                                                                                                                                                                                         - Accountable for the provision of standard and non-standard data sets, tables, listings and figures based on the final synopsis and SAP that are required for the study reports, submissions and product defense.                                                                                                                                                                                                                                         - Communicates effectively not only within the teams and functional lines but also with the external resources                                                                                                                                                                                                                                         - Provides filing, approval and regulatory programming support for all aspects of a submission                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  Education and Qualifications                                                                                                                                                                                                                                         - Related training/education/experience in Computer Science or other relevant education                                                                                                                                                                                                                                         - The work experience should include at least two years in a statistical programming environment                                                                                                                                                                                                                                         - Knowledge and application of p-values, confidence intervals, linear regression analysis, advanced general linear models, frequencies, survival analysis, non-parametric analysis, randomization software, proficiency in implementing these ideas in clear, efficient SAS code for the purposes of data analysis and reporting.                                                                                                                                                                                                                                         - Accountable for overall timelines and major project milestones, as well as overall project quality, integrity and productivity                                                                                                                                                                                                                                         - Knowledge of base SAS, SAS macro language, graph, FSP, STATS, SQL as well as other programming languages.                                                                                                                                                                                                                                         - Knowledge of UNIX system, Oracle Clinical and EDC (electronic data capture) exposure preferred                                                                                                                                                                                                                                         - Knowledge of clinical systems, medical terminology, clinical trail methodologies, and software systems development.                                                                                                                                                                                                                                         - Excellent analytical, problem solving, and computer skills.                                                                                                                                                                                                                                         - Flexible, well organized, excellent verbal and written communication skills, and interpersonal skills.                                                                                                                                                                                                                                         - Able to give effective presentations to small groups such as Implementation Teams or Statistical Programming meetings                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             We believe strongly in specialization, and have oriented our organization structure and professional development processes to create an environment, which develops world-class experts and helps them succeed. Our understanding of our clients and the sectors in which we do business is deep and nuanced, and this specialized expertise helps find solutions that have real impact and help our clients win. We are rigorous in seeking the best answer, not just the one that is most readily accepted. With the benefit of true expert knowledge and practical experience, we can deliver more thoughtful, creative and powerful work.