JOB REQUIREMENTS
Academic / Professional Qualification
- MSc/PhD in Statistics, Mathematics, or other related data science majors
- Knowledge of the technical and regulatory requirements related to the role
- Experience of regulatory interactions and/or submissions
Technical / Skills Training
- Excellent communication skills and ability to build strong relationships
- Collaborative - has the energy to work with R&D China & Global & across functional boundaries both internally and externally
- Ability to apply statistical expertise to complex problems, problem solving and quality focus
Working Experience
- Minimum 5 years of industry experience
- Leadership skill to lead and direct elements of project work
- Accountable for the statistical work
Duties & Responsibilities
To lead the strategic and operation planning of the statistical contributions to the Development Plans, Regulatory Strategy and Submissions, Health Technology Assessment and Commercial support of AZ products.
Leadership on the product so that all work is carried out with regards to AZ standards and external regulations
* Developing design options and providing high quality decision support
* Quantifying the benefit, risk, value and uncertainty of the emerging
product profile.
* Setting the standards (and enforcing compliance) for statistical work
within the product
Holding CRO/Partners accountable for the high quality standards of their deliverables
Represent AZ and Statistics to Health Authorities and Reimbursement/Payer Organizations for specific projects/indications
Investigate and implement statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration.
Maintains understanding and awareness on new methodologies, therapy area and Development initiatives
Provide leadership and direction to improvement projects/activities/initiatives and drive the implementation of best practice across the group
Develops contacts with international opinion leaders, consultants and collaborative groups
Ensure drug projects are successfully delivered in terms of scientific leadership and resourcing
【AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised.
阿斯利康是一家提供平等机会的企业,我们将考虑所有符合条件的求职者就业。不因残疾、性别或性取向、怀孕或产假状况、种族或民族或族裔出身、年龄、宗教或信仰、性别认同或变更、婚姻或伴侣关系、受保护的退伍军人身份(如果适用)及任何其他受法律保护的特征而产生歧视。】
Date Posted
07-7月-2026Closing Date
29-9月-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
Skills Required
- MSc/PhD in Statistics, Mathematics, or related data science field
- Minimum 5 years of industry experience
- Experience of regulatory interactions and/or submissions
- Knowledge of technical and regulatory requirements relevant to the role
- Leadership skills to lead and direct elements of project work
- Ability to apply statistical expertise to complex problems, problem solving and quality focus
- Excellent communication skills and ability to build strong relationships
- Collaborative working across R&D (China & Global) and cross-functional teams
AstraZeneca Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.
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Fair & Transparent Compensation — Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
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Strong & Reliable Incentives — Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
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Retirement Support — A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.
AstraZeneca Insights
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