Sr Biostatistician II

Thermo Fisher ScientificBengaluru, IndiaonsiteSalary not postedView the original posting at Thermo Fisher Scientific ↗

Work Schedule Second Shift (Afternoons) Environmental Conditions Office Job Description Summarized Purpose: Serves as a project lead or lead statistician to deliver on tasks/responsibilities for multiple complex protocols, projects, or NDA projects, including coordinating with other divisions and interacting with the client and regulatory agencies. Mentors others in the application of more complex statistical methodologies. Performs project management functions relating to the administrative and scientific activities of team members across multiple complex projects. Provides senior-level oversight of statistical aspects in the design and analysis of clinical trials, including project management, statistical analysis, report preparation, and advising other project statisticians. Represents the department to clients on simple to complex study design matters, directly contributing to simple to complex study proposals and bids and representing the department at bid defenses. Organizes teams and implements strategies to ensure process and programming efficiencies on complex studies. Essential Functions: • Ensures compliance with the activities outlined in the department's SOPs and contribute changes as needed. Follows departmental procedures for statistical analyses and programming work. • Work independently as a project lead or as lead statistician to deliver on lead tasks/responsibilities across challenging projects; provides senior review on projects. Leads team members across multiple complex projects. Interacts with the sponsor on all aspects of the project and present to sponsor and regulatory agencies as needed. • Reviews sample size calculations and protocols for completeness, appropriateness of clinical design, and sound statistical analysis. Contributes to writing appropriate protocol sections. Reviews randomization related documentation. • Writes / reviews analysis plans and guide others on the team in its implementation. Defines appropriate methods and procedures for statistical analysis. Reviews statistical analysis for key efficacy endpoints. • Reviews specifications for analysis database, oversees its development, and assures completeness for use in all programming. Oversees collaboration with programmers and data management personnel as to database maintenance, updating, and documentation. Supervises creation of table and listing specifications. • Prepares reports, manuscripts, and other documents. Contributes statistical methods section for Integrated Clinical and Statistical Report, Integrated Summaries of Safety, Integrated Summaries of Efficacy, and other documents. • Monitors project budget as it relates to project work scope and communicate proactively with management concerning potential changes in work scope. Communicates with sponsors concerning project work scope and budgetary changes after reviewing with management. • Mentors members of the department by providing project guidance and statistical advice and by promoting employee development, contributing to performance planning, and providing resource planning. • Provides input on hiring recommendations, department policies, and resourcing requirements. • Acts as representative of the department to other divisions. Assists in bidding and business development activities. Consults with business development with respect to bids and timelines. Education and Experience: Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 6+ years’). Master's degree in statistics, biostatistics, mathematics or related field. Knowledge, Skills and Abilities: • Comprehensive SAS® programming skills (Proficient in BASE, STAT, MACRO and GRAPH) • Capable of directing and promoting teamwork in a multi-disciplinary team setting • Capable of reviewing current processes and identify potential process improvements • Comprehensive understanding of a wide variety of clinical trials/designs and corresponding reporting of data • In-depth u

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