12996 Sas Jobs - Page 49

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At...

Design, develop, and implement data models and algorithms to solve complex problems.Collaborate with cross-functional teams to identify business requirements and develop solutions.Develop and maintain large-scale data systems Required Candidate profile Strong proficiency in R and SAS programming languages. Experience with data structures, algorithms, and software design patterns. Excellent problem-solving skills and attention to detail.

Develop and maintain SAS programs for clinical trial data management, including data cleaning, transformation, and visualization. Collaborate with cross-functional teams to ensure timely delivery of high-quality deliverables. Required Candidate profile Strong knowledge of SAS programming language, including Base SAS, Enterprise Guide, and Macros. Experience with clinical trial data management systems, such as CDISC or Oracle Argus Safety.

Conduct complex data analysis and interpretation to inform business decisions. Develop and implement innovative methods to measure and improve patient outcomes. Collaborate with cross-functional teams to design and execute studies. Required Candidate profile Strong understanding of health economics and outcomes research principles and practices. Proficiency in statistical analysis software such as SAS or R.

Manage and oversee clinical study data management activities, ensuring compliance with regulatory requirements. Develop and implement effective data management plans to ensure data quality and integrity. Required Candidate profile Strong knowledge of clinical trial regulations and guidelines, including GCP and ICH. Experience with data management systems, such as Oracle or SQL.

Develop and implement statistical analysis plans for clinical trials, ensuring compliance with regulatory requirements. Collaborate with cross-functional teams to design and conduct statistical studies. Required Candidate profile Ability to work independently and as part of a team, demonstrating strong leadership and mentoring skills. Proficiency in statistical software packages, such as SAS or R,

Develop and implement statistical analysis plans for clinical trials. Conduct statistical programming activities, including data management, reporting, and visualization. Required Candidate profile Strong knowledge of biostatistics and statistical programming principles. Excellent analytical, problem-solving, and communication skills. Ability to work independently and as part of a team.

Design, develop, and maintain SAS programs for clinical trial data management and analysis. Collaborate with cross-functional teams to ensure timely delivery of high-quality results. Required Candidate profile Strong knowledge of SAS programming language and its application in clinical trial data management and analysis. Experience working with clinical trial databases and data management systems.

Develop and implement effective revenue assurance strategies to minimize financial risks. Conduct thorough analysis of revenue data to identify trends and areas for improvement. Required Candidate profile Proven experience in revenue assurance within the Airlines/Travel industry. Strong understanding of revenue management principles and practices.

Develop and implement statistical analysis plans for clinical trials. Conduct statistical programming activities, including data management, reporting, and visualization. Required Candidate profile Strong knowledge of biostatistics and statistical programming principles. Experience working with large datasets and complex statistical models.

Develop and implement statistical analysis plans for clinical trials. Conduct statistical reviews of case report forms, annotated CRFs, database structures, and study-related documentation. Required Candidate profile Strong knowledge of statistical concepts, including regression, time series, mixed effects, and survival analysis. Experience with statistical software packages such as SAS, R, or Python.

Develop and implement statistical analysis plans for clinical trials, ensuring compliance with regulatory requirements. Collaborate with cross-functional teams to design and conduct statistical studies. Required Candidate profile Strong understanding of biostatistics principles, including experimental design, statistical modeling, and data interpretation.

Design, develop, and maintain SAS programs for clinical trial data management and analysis. Collaborate with cross-functional teams to ensure timely delivery of high-quality results. Required Candidate profile Experience working with clinical trial databases and data management systems. Excellent problem-solving skills and attention to detail.

Design, develop, and implement clinical trial data management systems using SAS. Collaborate with cross-functional teams to ensure seamless integration of clinical data into the development process. Required Candidate profile Develop and maintain complex statistical analysis plans and reports using SQL. Troubleshoot and resolve technical issues related to clinical trial data management.

Analyze complex data sets using R and SAS tools to identify trends and patterns.Develop and maintain databases, data systems, and computer models to support business operations.Collaborate with cross-functional teams Required Candidate profile Strong proficiency in R and SAS programming languages. Experience working with large datasets and complex data systems. Excellent analytical, problem-solving, and communication skills.

Analyze and interpret complex clinical trial data to inform business decisions.Develop and maintain databases, spreadsheets, and reports using SAS and Veeva.Collaborate with cross-functional teams Required Candidate profile Strong understanding of clinical trial design, protocols, and statistical analysis plans. Proficiency in programming languages such as SAS and Veeva. Experience with data management systems

Design, develop, and implement clinical trial data management systems using SAS.Collaborate with cross-functional teams to ensure accurate and timely delivery of project resultsDevelop and maintain complex databases using SQL Required Candidate profile Strong knowledge of clinical trial data management, statistical analysis, and database development. Proficiency in SAS programming language and SQL. Experience working with large datasets

Design, develop, and implement Veeva EDC clinical programming solutions for clients.Collaborate with cross-functional teams to ensure seamless integration of EDC systems.Develop and maintain technical documentation Required Candidate profile Strong knowledge of Veeva EDC clinical programming principles and practices. Experience with EDC system implementation and maintenance. Excellent problem-solving skills and attention to detail.

Job Description You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. In This Role, You Will Leading the improvement of the statistical modeling results globally across K-C segments, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get...

Develop and maintain complex data models using R and SAS programming languages. Analyze large datasets to identify trends and patterns, providing insights to stakeholders. Design and implement data visualizations to effectively communicate results. Required Candidate profile Strong proficiency in R and SAS programming languages. Experience working with clinical trial data and regulatory requirements.Excellent analytical and problem-solving skills with attention to detail.

Conduct thorough reviews of clinical data to ensure accuracy and compliance with regulatory requirements. Collaborate with cross-functional teams to identify and resolve data discrepancies. Required Candidate profile Strong understanding of clinical data review principles and practices. Proficiency in data analysis and interpretation software.

Develop and maintain complex data analysis systems using R and SAS programming languages. Collaborate with cross-functional teams to design and implement data-driven solutions. Required Candidate profile Strong proficiency in R and SAS programming languages. Experience working with large datasets and complex data analysis systems.

Design, develop, and implement clinical trial data management systems using CDMS expertise. Collaborate with cross-functional teams to ensure seamless integration of clinical data into the overall study design. Required Candidate profile Strong understanding of clinical trial data management principles and practices.Proficiency in CDMS & SAS programming languages.Exp. working with large datasets and complex statistical analysis plans.

Develop and maintain complex data analysis systems using R and SAS programming languages. Collaborate with cross-functional teams to design and implement data-driven solutions. Required Candidate profile Strong proficiency in R and SAS programming languages. Experience working with clinical trial data and regulatory requirements. Excellent analytical, problem-solving, and communication skills.

Conduct thorough reviews of clinical data to ensure accuracy and compliance with regulatory requirements. Collaborate with cross-functional teams to identify and resolve data discrepancies. Required Candidate profile Strong understanding of clinical data management principles and practices. Proficient in using relevant software and tools for data review and analysis.