- Using specification documents, write statistical analysis programs using SAS or other statistical software to generate or validate analysis data sets and tables, figures, listings (TFL) for statistical reports.
- As validator, investigates source of discrepancies in data and/or program code; reviews completed TFL for accuracy, including textual material (titles, headings, footnotes, etc.).
- Write and maintain accurate program documentation and generate TFL shells from existing macro or other sources.
- Develop analysis data set and TFL specifications.
- Write analysis programs in SAS or other software.
- Design and generate TFL shells and analysis data set specifications, using protocol, statistical analysis plan, or other study materials.
- Carry out intermediate to advanced statistical analysis, and assess validity of analysis assumptions.
- Help draft statistical sections of study reports.
- Review study reports and manuscripts for accuracy of reporting and inference.
- Write analysis programs in SAS or other software for complex and/or critical analyses.
- Responsible for accurate and timely delivery of statistical services: determines resource needs and schedules; coordinates with manager regarding project status, budget, and changes in scope.
- Provide statistical input and expertise to study team on all aspects of study conduct that impacts analysis or other statistical tasks (e.g. randomization)
- Coordinate work of more junior staff.
- Serve as statistical consultant to researchers on study design, sample size and analysis of clinical trials and other studies of simple to moderate complexity.
- Able to function independently as lead statistician
- Solid understanding of scientific and ethical principles and industry best practices in research analysis
- Understanding of special requirements of unblinded interim analysis.
- Increased breadth or depth of statistical knowledge relative to Level II, such as: working knowledge of more complex methods, wider range of therapeutic areas; or analysis methods for a broader range of study designs.
- Ability to communicate and interact effectively with non-statistical colleagues on project teams.
- A unique skill set (e.g. programming language) or area of statistical application (e.g. pharmacokinetics) can substitute for consulting and writing responsibilities
- Anticipates problems and proactively works to avoid them
- Uses logic and understanding of scientific reporting to make appropriate decisions regarding data handling
- Exercises judgment in selecting methods and techniques for obtaining solutions.
- Uses good judgment in projecting and managing resources and timelines
- Reports to a more senior biostatistician.
- With minimal supervision, manages a high-volume work flow.
- Uses judgment to execute duties and responsibilities.
- May oversee the work of junior staff on specific tasks but does not have general supervisory responsibilities.
- Masters’ degree (or international equivalent) in statistics, biostatistics, bioinformatics or similar curriculum.
- PhD preferred
- Typically requires 5 - 8 years’ relevant work experience in statistical analysis of research studies.
- Demonstrated proficiency in functions required of a lead statistician, including interpersonal and communication skills necessary for effective interactions with study teams
- Demonstrated skills in multiple statistical areas and/or therapeutic indications.
- Excellent interpersonal communication skills, verbal and written English.
- Experience in statistical aspects of study design.
- Experience providing statistical consultation to researchers.
- Typical office environment.
- Ability to sit and stand for extended periods of time.
- Ability to lift 5-50 lbs.
- Personal Computer, Microsoft Office (i.e. Word, Excel, PowerPoint, etc.), e-mail, telephone, printer, calculator, copier, cell phones, PDAs and other hand held devices.
- Less than 10%
Closing Date for Applications: 31st August, 2020
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