About the role

Aplyr's Quick Take

This role is primarily about leading statistical programming for clinical trials, ensuring high-quality data analysis and reporting. You'll collaborate with cross-functional teams and may supervise local associates, making strategic decisions at the project level. It's a senior individual contributor role with some managerial responsibilities.

Good fit

Ideal candidates have over 6 years of experience in statistical programming, particularly with SAS, and a strong understanding of clinical trial processes. A collaborative working style and openness to new technologies like R and AI/ML will help you thrive here.

Worth noting

The position emphasizes both technical expertise and leadership, which may appeal to those looking to advance into a more strategic role. The requirement for familiarity with emerging technologies could indicate a forward-thinking team.

Job Description Summary

Responsible for all statistical programming/data review reporting and analytics development aspects of several studies, a medium to large sized project or project-level activities. Acts as a key collaborator and strategic partner in ensuring that drug-development plans are executed efficiently with timely and high-quality deliverables. Complies with project / study standards and specifications following internal and regulatory guidelines. Oversees programming style, quality of statistical reporting & compliance with timelines.

Job Description

Key Responsibilities

Lead statistical programming activities for several studies or drive the implementation of data analytics reports. Make decisions and propose strategies at study or project level.
May act as functional manager for local associates including providing supervision and advice on functional expertise and processes.
Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical aspects (timelines, scope, resource plan), e.g. as representative in study or project-level team.
Ensure project-level standardization. Provide and implement programming solutions; ensure knowledge sharing.
Act as expert in problem-solving aspects.
Ensure timely and quality development and validation of datasets and outputs for regulatory submissions/interactions, safety reports, publications, post-marketing activities etc .Leads/co‐leads novel projects within the team -Generates innovative ideas within own team and /or project team /functional community

Essential Requirement

Demonstrates strong proficiency in SAS for the analysis and summarization of clinical trial data.
Has served as a Trial Programmer or in a comparable programming role with end‑to‑end study responsibility.
Possesses experience in the development and/or review of critical study documents, including Protocols, eCRFs, Data Transfer Specifications, SAPs, and mock shells, ensuring consistency with study objectives and regulatory expectations.
Shows openness to adopting R and other programming languages, with a willingness to embrace emerging technologies such as AI/ML.
Exhibits a comprehensive understanding of CDISC data standards and their application across clinical studies.
Minimum 6 years + with Graduation. (MSc preferred)

Skills Desired

Classification Systems, Clinical Trials, Computer Data Storage, Computer Programming, Cross-Functional Teams, Data Analysis, Data Structures, Initiative, Programming Languages, Reporting, Statistical Analysis

Aplyr's read

Novartis is a Swiss-based global healthcare leader, known for its focus on innovative medicines and commitment to addressing patient needs through diverse roles.
Synthesized from recent postings & public sources

What's promising

•Novartis invests heavily in research and development, driving innovation in pharmaceuticals.
•The company offers a wide range of global career opportunities across various fields.
•Strong focus on cutting-edge therapies, including gene therapy and AI-driven solutions.

What to watch

•Regulatory challenges can impact the speed of drug approval and market entry.
•High competition in the pharmaceutical industry requires constant innovation to maintain market position.
•Complex organizational structure may slow decision-making processes.

Why Novartis

•Novartis has a robust pipeline of innovative medicines, setting it apart in the healthcare sector.
•The company emphasizes a diverse and inclusive workplace culture across its global operations.
•Novartis is a leader in digital transformation within pharmaceuticals, integrating AI and data science.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Novartis

Novartis

novartis.com

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Novartis is a global healthcare company based in Switzerland that provides solutions to address the evolving needs of patients worldwide. It focuses on innovative medicines, generics, and eye care.