Are you a Statistician with proven postgraduate experience in the application of statistics in the pharmaceutical environment paired with a Masters or PhD?

Do you have SAS proficiency including use of a variety of statistical procedures including non-parametric analysis, mixed models, non-linear models, survival-adjusted tumour incidence models and survival analysis?

Do you want to work in the Pre-Clinical space where you can make a real difference in an ever-changing environment?

If you answered YES, then come and join our Global Statistics Department at Labcorp Drug Development!

This is a fully remote position with global scope. Come and join the pursuit!

At Labcorp, we deliver answers for crucial health questions-because the more we know, the better life can be. Our more than 70,000 employees across the world reach more than 160 million patients each year. With this unmatched global scale and scientific expertise, we are driving countless innovations in areas including oncology, biomarkers and companion diagnostics, vaccines, specialty and general testing, data analytics, virtual clinical trials and commercialization services. We are innovating for millions.

As a Principal Statistician at Labcorp, your main responsibilities will be to:

• Supervise less experienced statisticians within project activities
• Be the Statistics lead for large global or other major projects
• Provide statistical input into other disciplines' activities and participate in interdepartmental processes
• Provide technical solutions and advice to staff and to clients on statistical methodology and principles
• Ensure mechanisms in place to maintain flow of appropriate information between disciplines on project team
• Perform QC of others team members work
• Train and develop less experienced staff within the department
• Developstatistical methodology for analysis of study data
• Develop and coordinate QC procedures for Statistics deliverables, ensuring activities are appropriate for effectively and efficiently delivering quality output within specific project.
• Analyse study data and related decision making
• Take ownership of statistical input to statistical reports and Study Reports
• Provide statistical input into other disciplines' activities and participate in interdepartmental processes
• Determine documentation requirements for Statistics aspects of projects. Give guidance to support business and regulatory requirements including definition of appropriate documentation, storage/communication media, and retention/return of documents at study close-out
• Review statistical content of computer validation deliverables
• Independently peer review of statistical deliverables, e.g., protocols, Summaries and Individual Data Listings, statistical reports, Study Reports
• Carry out SAS programming and related activities for the presentation and analysis of study data
• Contribute to review and amendment of departmental processes and supporting documentation
• Lead project management activities for identified projects including financial, resource planning and utilization, timelines and milestone management
• Manage contact with clients across multiple disciplines
• Contribute to proposal activities and client presentations
• Represent the department during audits
• Conduct all work in compliance with applicable regulatory requirements, and specifically those regulations (GLP, GMP, GCP) specified in the study plans, protocols, or work agreement

Education/Qualifications:

• MA or MS in statistics subject, preferably with a strong medical statistics component. (Alternative academic qualifications are assessed for comparability.)

Experience:

• Solid postgraduate experience in the application of statistics in the pharmaceutical environment
• Effective interpersonal and communication skills
• Cooperative, team-oriented and proactive
• Self-motivation
• Ability to motivate others
• The ability to work to tight deadlines while maintaining high standards
• SAS proficiency including use of a variety of statistical procedures e.g., non-parametric analysis, mixed models, non-linear models, survival-adjusted tumour incidence models and survival analysis
• Ability to adhere to strict guidelines and codes of practice
• A good knowledge of overall drug development process
• Competence in the preparation of statistical methodology, analysis and reporting
• Ability to explain statistical concepts to non-statisticians
• Supervisory and organizational skills
• A proactive approach to management of day-to-day activities and actions that may affect Covance as a business
• A professional approach at all times