AstraZeneca

Pharmaceuticals

StatisticalProgrammerII

India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Statistical Programmer II at AstraZeneca. Skills: SAS programming, CDISC standards, Clinical data analysis. Produce SDTM and ADaM datasets. Build, validate and document TFLs”

What You'll Achieve.

Turn clinical data into reliable evidence; Speed medicines to patients; Shape trial decisions; Enable confident decision making; Contribute to continuous improvement; Improve end-to-end delivery; Influence how data informs decisions; Accelerate meaningful science; Shape evidence behind medicines

Industry & Context.

Pharmaceuticals
Problems you'll solve

Structured problem-solving

What They're Looking For.

Must Have

Intermediate programming skills, Basic knowledge of the clinical development process, Knowledge of industry standards, Prior usage of a statistical/mathematical programming language

Nice to Have

Hands-on SAS programming experience in a clinical trial setting, dataset creation, derivations, validation, Familiarity with CDISC standards (SDTM, ADaM), associated implementation guides, Experience programming and validating TFLs, adhering to statistical analysis plans, Exposure to regulatory submissions, expectations for traceability and reproducibility, Working knowledge of R or Python for exploratory analysis, data checks or automation, Experience with version control, collaborative development practices (e.g., Git, code review), attention to detail, structured problem-solving in a highly regulated environment, Effective communication skills to translate technical concepts for non-programming partners, collaborate with statisticians, data managers and study teams

What You'll Do.

Produce SDTM and ADaM datasets

validate and document TFLs

Work within established frameworks

Understand protocols and plans

Take ownership of work packages

Expand proficiency in SAS

Deepen knowledge of CDISC

Contribute to continuous improvement

How You'll Work.

Team & Collaboration

Partner with statisticians; Partner with data managers; Collaborate with study teams; Work with unexpected teams

Communication Scope

Translate technical concepts for non-programming partners

Process & Methodology

Ownership of well-defined work packages

Full Job Description

Statistical Programmer II Introduction to role: Are you ready to turn clinical data into reliable evidence that speeds medicines to patients? Do you thrive in a high-learning environment where your code directly shapes trial decisions and future submissions? As a Statistical Programmer II, you will apply your programming skills to real-world studies of moderate scope, translating complex clinical data into clear, compliant outputs that enable confident decision making. You will join a close-knit community of curious experts who share knowledge openly and challenge ideas to get to better answers. Working under the guidance of experienced programmers and alongside statisticians and data managers, you will deliver high-quality SDTM, ADaM and TFL outputs while growing your technical and domain expertise. Your work will be visible across studies and therapy areas, and will contribute to the continuous improvement of how we design, analyze and report clinical research. Accountabilities: * Clinical Data Standards Programming: Produce SDTM and ADaM datasets under guidance, ensuring traceability and alignment with industry standards for studies of moderate scope. * Analysis and Reporting: Build, validate and document TFLs that clearly communicate study results and support clinical and regulatory decisions. * Quality and Compliance: Work within established frameworks, embedding quality into every deliverable and following procedures that meet audit-ready expectations. * Protocol and Plan Interpretation: Understand protocols and clinical development plans to anticipate data needs and connect programming approaches to study objectives. * Collaboration and Communication: Partner with statisticians, data managers and lead programmers; proactively update your lead on progress, risks and trade-offs. * Autonomy with Support: Take ownership of well-defined work packages while seeking mentorship to extend your capabilities and accelerate delivery. * Technical Growth: Expand proficienc

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