At a Glance
- Tasks: Design AI solutions to speed up clinical trials and improve healthcare outcomes.
- Company: Join Novartis, a leader in innovative healthcare solutions.
- Benefits: Competitive salary, performance bonuses, flexible working, and comprehensive benefits.
- Other info: Collaborative environment with opportunities for continuous learning and career growth.
- Why this job: Make a real impact on patient care using cutting-edge AI technology.
- Qualifications: Master's or doctorate in relevant fields and strong programming skills in Python or R.
The predicted salary is between 57050 - 105950 £ per year.
Location: London, United Kingdom
Relocation Support: This role is based in London, United Kingdom. Novartis is unable to offer relocation support: please only apply if accessible.
What if your expertise in artificial intelligence could help bring life-changing medicines to patients faster? At Novartis, you'll join our AI & Data Engineering team within Advanced Quantitative Sciences, where you'll transform complex scientific data into actionable insights that accelerate clinical development. This is an exciting opportunity to apply cutting-edge artificial intelligence, automation, and engineering practices to solve meaningful challenges, collaborate with world-class scientific teams, and drive innovation that directly impacts the future of healthcare.
Key Responsibilities:
- Design and deploy artificial intelligence and automation solutions that accelerate clinical trial data workflows.
- Build scalable tools that improve document processing, data extraction, and analytical efficiency.
- Collaborate with quantitative sciences, technology, and innovation teams to deliver high-impact solutions.
- Translate complex scientific and data challenges into practical, value-driven engineering outcomes.
- Champion adoption of artificial intelligence technologies through expert guidance and technical leadership.
- Ensure solutions meet quality, compliance, privacy, and regulatory standards within drug development.
- Stay at the forefront of industry advancements and contribute to external scientific communities.
- Promote a culture of innovation, continuous learning, collaboration, and operational excellence.
Essential Requirements:
- Master's degree or doctorate in Computer Science, Data Science, Artificial Intelligence, Bioinformatics, or related quantitative discipline.
- Proven experience developing artificial intelligence and automation solutions within a scientific or technical environment.
- Strong expertise in software engineering best practices, including testing, documentation, deployment, and version control.
- Advanced programming skills in Python or R, with experience building and deploying production solutions.
- Specialist knowledge of machine learning, deep learning, large language models, or advanced data science methods.
- Experience working with large-scale computing environments, databases, cloud platforms, or distributed systems.
- Strong communication skills with the ability to translate technical concepts for diverse stakeholders.
- Demonstrated track record of delivering high-quality scientific or technical outcomes in a collaborative environment.
Benefits & Rewards:
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. The expected annual base salary range for this role is £57,050.00 - £105,950.00. 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 will be reviewed periodically. 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 a minimum of 14 weeks paid parental leave.
Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.
Commitment to Diversity and Inclusion:
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
- Machine Learning (ML)
- Machine Learning Algorithms
- Python (Programming Language)
- Stakeholder Engagement
- Statistical Analysis
- Time Series Analysis
Senior Specialist, Data Science & Artificial Intelligence 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.
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We think this is how you could land Senior Specialist, Data Science & Artificial Intelligence in London
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We think you need these skills to ace Senior Specialist, Data Science & Artificial Intelligence in London
Some tips for your application 🫡
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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.
