Senior Statistician Ii

Astrazeneca

2+ years

Not Disclosed

Bengaluru

10 Dec. 27, 2024

Job Description

Job Type: Full Time Education: MSc/PhD Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Senior Statistician II

Job ID: R-209307
Date Posted: 12/10/2024

Introduction to the Role:

Are you ready to take the next step in your career? AstraZeneca is seeking a Senior Statistician II to apply their expertise in statistical design and analysis in the pharmaceutical industry. This role offers a unique opportunity to contribute creatively to statistical strategies, collaborate cross-functionally, and guide less experienced colleagues. As a Senior Statistician, you will provide invaluable statistical expertise for the design, delivery, and interpretation of complex clinical and preclinical studies, with the chance to drive innovations in study design.

Key Responsibilities:

Design and Analysis Expertise: Provide statistical support for complex study designs and interpretation in preclinical or clinical programs, regulatory submissions, and commercialization.
Modelling and Simulation: Use internal and external data to perform modeling and simulation, providing insights to inform study design decisions.
Statistical Analysis Plan Development: Develop Statistical Analysis Plans (SAPs) for complex studies, ensuring they align with regulatory and scientific standards.
Regulatory Contributions: Contribute to regulatory submissions by applying statistical expertise to support decision-making.
Collaboration: Work closely with cross-functional teams, including Therapeutic Area scientists and partners from other departments, to ensure the quality and integrity of statistical analyses.

Qualifications and Experience:

Essential Skills and Experience:

Educational Background: MSc/PhD in Statistics, Mathematics (with a substantial statistical component), or an equivalent recognized qualification.
Statistical Programming: Competence in SAS and R for statistical programming and data analysis.
Experience: Experience in the design, analysis, and reporting of clinical or preclinical studies in various settings.
Problem-Solving: Ability to apply statistical expertise to solve complex problems, with a focus on quality outcomes.
Communication Skills: Strong written and verbal communication skills to convey statistical findings clearly and effectively.
Team Collaboration: Experience working in teams and collaborating with colleagues across different levels within Biometrics and other departments.
Therapeutic Area Knowledge: Ability to work closely with Therapeutic Area scientists to address study-specific needs and objectives.

Why AstraZeneca?

At AstraZeneca, we are committed to following the science and delivering life-changing medicines. As part of our Biopharmaceuticals R&D team, you will have the opportunity to work with cutting-edge technology, data, and scientific innovation to drive the next wave of breakthroughs. We offer an inclusive environment where collaboration across academia, biotechs, and the pharmaceutical industry fuels our success. If you're driven by curiosity and the desire to make a difference, this is the place for you.

Work Environment:

This role is office-based, with flexibility for working remotely up to three days a week. We value the power of in-person collaboration but also recognize the importance of individual flexibility.

Why Apply?

AstraZeneca is a place where you can thrive professionally while making an impact on patients' lives. If you're ready to bring your statistical expertise to a team dedicated to delivering life-changing medicines, apply now!

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team that represents all backgrounds, with a wide range of perspectives and skills. We welcome applications from all qualified candidates, regardless of their characteristics, and comply with all laws and regulations regarding non-discrimination in employment.

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