-
ID
#44585870 -
Job type
Permanent -
Salary
TBD -
Source
AstraZeneca -
Date
2022-08-03 -
Deadline
2022-10-02
Senior Statistician II, Late Oncology
Pennsylvania, Lansdowne, 19050 Lansdowne USAPermanent
Vacancy expired!
This position could be based our office in Gaithersburg, MD; Waltham, MA; Wilmington, DE; or South San Francisco, CA.
Play a critical role in making our pipeline accessible to patients.Do you have expertise in, and passion for, Biostats? Would you like to apply your skills to impact all phases of drug development and regulatory interactions, in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious disease. But we're more than one of the world's leading pharmaceutical companies.Join the team dedicated to Oncology, with an ambition to eliminate cancer as a cause of death. It's our big vision that unites and encourages us. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we keep pushing forward. Fusing cutting-edge science with the latest technology to achieve breakthroughs. Backed by investment, we are striving to deliver 6 new molecular entities by 2025.We work on some of the most sophisticated and exciting challenges. A fast-paced and agile team, we are empowered and trusted to innovate and experiment. With access to our extensive capabilities and comprehensive pipeline, you'll be involved in countless submissions and a wide range of engaging projects along the complete drug development process.Main Duties and ResponsibilitiesAs a Senior Statistician II you will provides statistical expertise in the design of experimental work and the evaluation and interpretation of experimental results in research projects and clinical trials, referring to more senior Statistical experts where necessary. You will manages own work to schedule/quality and will apply a range of Statistical methods. You will be able to solve complex problems within own area and will participate in multi disciplinary teams.- Demonstrate independence in providing statistical support for standard design and interpretation of study data
- Under guidance of a more experienced statistician will undertake design and analysis of complex studies, and provide statistical support for broader programs, which may include preclinical studies, complex regulatory submissions or commercialization activities and/or high level internal governance committee interactions
- Under guidance of a more experienced statistician, analyze internal and external information to inform design decisions and the development of decision criteria
- Apply modelling and simulation to inform study design, assess robustness of results etc.
- Develop a Statistical Analysis Plan for study and/or project delivery
- Produce analysis, supporting graphics and analysis tables for standard studies, such as in preclinical or clinical study reports, Global Medical Affairs studies or publications
- Able to interpret, summarize and communicate results of standard studies
- Contribute to the improvement of methodology and provide practical solutions for problems
- Apply statistical methodology to improve the process and delivery activities
- Contribute to the development of best practice to improve quality, efficiency and effectiveness
- Accountable for the quality of their statistical work; provide discipline-specific understanding, insight and constructive challenge and self-aware of own development needs
- MSc in Statistics, Biostatistics, or Mathematics (containing a substantial statistical component), or recognized equivalent to stats MSc
- Competent statistical programmer (SAS and R)
- Knowledge of key technical and regulatory requirements
- 2 years of relevant experience
- Experience of design, analysis and reporting of preclinical or clinical studies in more than one setting
- Communication skills
- Collaboration and team working skills
- PhD within the field
- Ability to apply statistical expertise to problems, problem solving and quality focus
Vacancy expired!
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