Statistical Science Director
| Company | AstraZeneca |
|---|---|
| Location | Mississauga, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- MSc/PhD in Statistics, Mathematics (with a substantial statistical component), or a recognized equivalent to a stats MSc
- Proven track record of independent leadership
- Extensive experience in clinical trials critical for this role
- Recognized for exemplary technical skills and expert leadership role or national recognition as a statistical technical expert
- Demonstrated ability to provide cross-study support, overseeing, aligning, and providing technical support for multiple studies.
Responsibilities
- Lead the statistical design and strategy to product development plans, preclinical studies, regulatory strategy, health technology assessment, and/or commercial activities as appropriate for the stage of the product
- Lead the statistical content and ensure quality for study designs, documents, delivery, interpretation, and submission
- Quantify the benefit, risk, value, and uncertainty of the emerging product profile and communicate these effectively within the team
- Provide global leadership to others and direct project work delivered by internal and external staff
- Partner with CROs to ensure delivery to quality and time
- Represent AstraZeneca externally which may include health authorities, advisory boards, conferences, workshops, and/or payer interactions
- Maintain knowledge of statistical methodology in relevant areas and promote, investigate, and implement novel statistical approaches
- Represent statistical strategy and decision-making at internal governance including review boards, therapy area leadership teams, and ESPC/LSPC
- Mentor/coach and support the technical education and training of Statistics staff.
Preferred Qualifications
- Experience in Vaccines is a strong asset but open to other therapeutic areas (TA)
- Experience with business development opportunities, such as in-licensing, would be beneficial
- Proficiency in programming languages such as SAS, R, and Python
- Strong project management skills
- Excellent communication skills, especially in relation to project management, ensuring effective cross-functional collaboration and stakeholder engagement.