At a Glance
- Tasks: Lead data science methodologies and build robust analytics pipelines.
- Company: Join Novartis, a leader in pharmaceuticals and innovation.
- Benefits: Attractive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on patient-level insights.
- Why this job: Make a real impact on drug development using advanced analytics and AI.
- Qualifications: Experience in data science, statistics, and programming with R, Python, and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Novartis Pharmaceuticals UK Ltd. is seeking a Senior Principal Data Scientist to lead data science methodologies on patient-level and biomarker data across clinical development. You will translate business questions into analytics, build robust pipelines with R, Python, and SQL, and collaborate with internal and external partners to influence drug development decisions. You will apply advanced statistics, ML/AI, and visualization to generate evidence that supports decision making in drug development.
Senior Principal Data Scientist, Medical Analytics & AI in London employer: GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
At Novartis Pharmaceuticals UK Ltd., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on groundbreaking projects in medical analytics and AI. Located in a vibrant area, our team enjoys a supportive environment that values diversity and encourages meaningful contributions to drug development.
Contact Details:
GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Principal Data Scientist, Medical Analytics & AI in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Principal Data Scientist, Medical Analytics & AI at GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Senior Principal Data Scientist, Medical Analytics & AI at GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Principal Data Scientist, Medical Analytics & AI in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.. 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 GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.!
✨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.
