Salary Range:
57050.00 - 105950.00Job Description Summary
#LI-HybridJob Description
Major accountabilities:
Develop and maintain R packages that enable clinical trial team through supporting data engineering statistical analyses automation and reporting workflows.
Design build and deploy Shiny applications for interactive dashboards and data exploration tools.
Collaborate with statistical programmers and statisticians and clinical reporting teams to understand requirements and translate them into efficient reproducible code and tools.
Apply AI responsibly to support product design and development focusing on reliable explainable and impactful use in development workflows and solutions.
Drive the rollout of tooling through demos pilots training and support.
Engagement in the user experience of our users to identify and drive opportunities for continuous improvement and modernization.
Role model best practices for data science and software development.
Documentation of tools and processes to support modernization in an inclusive manner.
Appetite to engage in open-source communities to collaborate in external settings.
Minimum requirement:
MSc in a quantitative / computational science or eqivalent
Experience as an R developer
Deep knowledge of data manipulation (tidyverse) and data visualization (ggplot2 plotly).
Demonstrated ability to develop production-grade R packages including comprehensive documentation and rigorous testing frameworks.
Hands on experience deploying and maintaining R applications in production environments.
Highly proficient in Shiny app development and deployment.
Deep experience in software development best practices (virtual environments git CI/CD code review etc.)
Hands on experience applying AI and agentic approaches to improve developer productivity of data-driven applications
Solution-oriented mindset with a collaborative spirit
Good written English
Desirable requirements:
Good understanding of drug development process
High level understanding of the regulatory requirements for computer systems and tools
Knowledge of Quarto workflow automation or metadata-driven reporting.
Participation in open-source projects within the pharmaceutical sector such as those associated with R Consortium pharmaverse openpharma or openstatware.
Benefits & Rewards
At Novartis were committed to reimagining medicine together - and rewarding the people who make it happen.
Expected Annual Base Salary Range for role: 57050.00 -105950.00 GBP
The base salary offered is determined based on gender-neutral objectives such as relevant skills competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.
In addition to your base salary you may be eligible for a performance-based bonus depending on certain performance parameters.
The rewards of being part of our team go far beyond base pay and incentives. 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 addition we provide flexible and hybrid working options where possible and minimum 14 weeks paid parental leave.
Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse equitable and inclusive environment that treats all employees with dignity and respect as outlined in our Code of Ethics.
Read our brochure to learn more about our global total rewards offering:
Commitment to Diversity and Inclusion / EEO paragraph
Novartis is committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve.
Skills Desired
Artificial Intelligence (AI) Biostatistics Change Management Curious Mindset Data Governance Data Literacy Data Quality Data Science Data Visualization Deep Learning Graph Algorithms Learning Agility Logistic Regression Model (Inactive) Machine Learning (ML) Machine Learning Algorithms Nlp (Neuro-Linguistic Programming) And Genai (Inactive) Pandas (Python) (Inactive) Python (Programming Language) R Programming Stakeholder Engagement Statistical Analysis Structured Query Language (SQL) Time Series AnalysisRequired Experience:
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