Data Analysis Programmer in London

Data Analysis Programmer in London

London Full-Time 14000 - 91260 £ / year (est.) Home office (partial)
Novartis

At a Glance

  • Tasks: Lead programming strategies in clinical development and collaborate with cross-functional teams.
  • Company: Join Novartis, a leader in innovative medicine with a commitment to diversity.
  • Benefits: Competitive salary, performance bonuses, flexible working, and comprehensive benefits.
  • Other info: Dynamic work environment with opportunities for professional growth and development.
  • Why this job: Make a real impact on patient lives through cutting-edge statistical programming.
  • Qualifications: Experience in statistical programming languages like R, SAS, or Python required.

The predicted salary is between 14000 - 91260 £ per year.

This role is based in London, UK. Novartis is unable to offer relocation support for this role.

Step into a pivotal role where your expertise shapes the future of clinical development. As a Senior Principal Statistical Programmer, you will lead complex programming strategies across high-impact studies and programs, partnering with cross-functional teams to deliver high-quality, regulatory-ready outputs. This is your opportunity to influence innovation, drive modern programming practices, and make a tangible difference in bringing life-changing medicines to patients faster.

  • Lead SP activities as Trial Programmer for one or multiple trial(s) or as a Lead/Program Programmer for a program or an indication.
  • May act as functional manager of associates including providing supervision and guidance to these programmers on operational/functional expertise and processes.
  • Build and maintain effective working relationships with cross-functional teams, able to summarise and discuss status of deliverables and critical programming aspects (timelines, scope, resource plan).
  • Review eCRF, data structures, and ensure program-level standardisation for effective pooling and efficient case record tabulation (CRT) production.
  • Assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans.
  • Ensure timely and quality development and validation of datasets and outputs for clinical study reports (CSRs), regulatory submissions/interactions, safety reports, publications, post-marketing activities or exploratory analyses.
  • Understand Git-based version control workflows and their role in supporting collaborative, traceable, and reproducible programming activities.
  • Responsible for quality control and inspection readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results.
  • Establish robust expectations and frameworks for reproducibility, documentation, and code quality across complex workflows.
  • Maintain up-to-date advanced knowledge of statistical programming languages (e.g. R, SAS) as well as industry requirements (e.g. XML).

Essential Requirements:

  • BS/MS degree in statistics, computer science, mathematics, data science, life science or equivalent relevant degree.
  • Extensive experience and deep expertise in Statistical programming languages (e.g., R, SAS, or Python).
  • Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications.
  • Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures).
  • Proven communications and negotiation skills, ability to work well with others globally and influence.
  • Experience as Trial/Lead/Program Programmer for several studies or project-level activities.

At Novartis, we're committed to reimagining medicine together - and rewarding the people who make it happen.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Data Analysis Programmer in London employer: Novartis

At Novartis, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid work model allows for flexibility while providing ample opportunities for professional growth and development in the pharmaceutical industry. With a commitment to enhancing customer experiences for healthcare professionals and patients alike, joining our team means contributing to meaningful work that makes a difference in people's lives.

Novartis

Contact Details:

Novartis Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analysis Programmer in London

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We think you need these skills to ace Data Analysis Programmer in London

Statistical Programming Languages (e.g., R, SAS, Python)
CDISC Data Structures
Data Analysis
Programming Specifications
Statistical Analysis Plans
Version Control (e.g., Git)
Data Visualization (e.g., R Shiny Applications)

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Novartis. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Novartis

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.