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- Tasks: Lead data science initiatives to solve critical medical challenges in neuroscience.
- Company: Join Novartis, a leader in reimagining medicine for better lives.
- Benefits: Enjoy competitive rewards, flexible working, and a commitment to your growth.
- Why this job: Make a real impact on drug development and improve patient outcomes.
- Qualifications: Ph.D. in a quantitative field with experience in clinical trials and data science.
- Other info: Collaborative environment with opportunities to influence healthcare innovation.
The predicted salary is between 72000 - 108000 ÂŁ per year.
Office Location: London (The Westworks), United Kingdom
Hybrid: 12 days per month on-site if living within 50 miles of our London office
Remote: if living beyond 50 miles of our London office
In this role, you will understand complex and critical business problems, formulate an integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs in neuroscience, discover actionable insights and automate processes for reducing effort and time for repeated use. Moreover, you will manage the implementation and adherence to the overall data lifecycle of enterprise data from acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its lifecycle.
You have a proven record of working across various business domains and integrating presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.
Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people’s lives. To do this, we are optimizing and strengthening our processes and ways of working. We are investing in new technologies and building specific therapeutic area and platform depth and capabilities – all to bring our medicines to patients even faster. We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to. Apply today and welcome to where we thrive together!
About The Role
As a Senior Principal Data Scientist in the Advanced Quantitative Scientists group you will be responsible for the discussion and implementation of data science and high‑dimensional modelling methodologies applied to patient‑level data (including various biomarker, clinical and outcomes data) across clinical development in Neuroscience. You will combine your data science and AI skills and your scientific knowledge in biology, imaging or medicine to enrich drug development decisions in close collaboration with internal and external partners.
Key Accountabilities
- Provide global strategic data science leadership and support to clinical development programs of low to mid complexity, based on relevant technical and disease area knowledge.
- Contribute to planning, execution, interpretation, validation and communication of innovative exploratory biomarker and/or AI analyses and algorithms, to facilitate internal decision making, support submissions of candidate drug and research collaborations.
- Provide technical expertise in data science and (predictive) machine learning/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making and research collaborations.
- Perform hands‑on analysis of integrated clinical, imaging, digital, fluid biomarkers outcomes and high‑dimensional, patient‑level biomarker data from clinical trials and the real world to generate fit‑for‑purpose evidence that is applied to decision making in drug development programs.
- Contribute to the scientific content of materials for internal decision boards/regulatory/submission documents (e.g. Briefing Books, decision criteria, trial design(s), responses to Health Authority questions) as well as for peer‑reviewed publications.
- Align with and influence the Analytics team (biometrician, pharmacometrician, data management, database programming, programming, medical and scientific writing) as well as cross‑functional partners in research, regulatory, clinical and commercial teams on the biomarker and/or AI strategy, execution, and delivery of assigned projects.
Your Experience
- Ph.D. in data science, biostatistics, pharmacology, bioinformatics, mathematics, or other quantitative field (or equivalent).
- Experience in clinical drug development with extensive exposure to clinical trials.
- Clinical, pharmacological, and therapeutic knowledge in neuroscience.
- Good understanding of clinical study design principles and basic familiarity working with clinical data in a clinical trial (GxP) setting.
- Strong knowledge and understanding of multivariate implementations of statistical methods such as time to event analysis, machine learning, meta‑analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials.
- Familiarity with statistical and analytical methods for high dimensional data (e.g. imaging, digital, genetics or -omics data).
- Strong programming skills in R and Python.
- Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.
- Excellent interpersonal and communication skills (verbal and writing).
- Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision‑making situations.
Why Novartis
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
You’ll Receive You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards.
Senior Principal Data Scientist employer: Novartis
Contact Detail:
Novartis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to neuroscience. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Senior Principal Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data science and neuroscience. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Showcase Your Technical Skills: Since this role requires strong programming skills in R and Python, be sure to mention any specific projects where you’ve used these languages. We love seeing hands-on experience, so include examples of your work with statistical methods and machine learning.
Communicate Clearly: Your ability to present complex data insights is key! Use clear and concise language in your application to demonstrate your communication skills. Remember, we’re looking for someone who can translate technical findings into actionable insights for business users.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Novartis
✨Know Your Data Science Inside Out
Make sure you brush up on your data science skills, especially in areas like machine learning and statistical methods. Be ready to discuss specific algorithms you've used and how they contributed to solving complex problems in previous roles.
✨Showcase Your Clinical Knowledge
Since the role involves neuroscience and clinical trials, it’s crucial to demonstrate your understanding of these areas. Prepare examples of how your clinical knowledge has influenced data-driven decisions in past projects.
✨Prepare for Technical Questions
Expect technical questions that assess your programming skills in R and Python. Practice coding challenges or case studies that relate to high-dimensional data analysis to showcase your hands-on experience.
✨Communicate Clearly and Effectively
You’ll need to translate complex data findings into actionable insights. Prepare to present your past work in a clear and concise manner, focusing on how your contributions made an impact on decision-making processes.
