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- Tasks: Lead data science initiatives to solve complex medical challenges in neuroscience.
- Company: Join Novartis, a leader in reimagining medicine for better lives.
- Benefits: Enjoy competitive pay, flexible work options, and comprehensive health benefits.
- Why this job: Make a real impact on drug development and improve patient outcomes.
- Qualifications: Ph.D. in a quantitative field and experience in clinical drug development.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 72000 - 108000 £ 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) or Remote (if living beyond 50 miles of our London office).
In this role, you will understand complex and critical business problems, formulate integrated analytical approaches 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 data 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.
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.
- 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.
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. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.
Senior Principal Data Scientist employer: Healthcare Businesswomen’s Association
Contact Detail:
Healthcare Businesswomen’s Association 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 your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data science and neuroscience. We recommend doing mock interviews with friends or using online resources to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your work! Create a portfolio of your projects, especially those involving machine learning and data visualisation. This gives potential employers a tangible sense of your capabilities and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our mission to reimagine medicine.
We think you need these skills to ace Senior Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Principal Data Scientist role. Highlight your experience in data science, clinical trials, and any relevant programming skills like R and Python. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about neuroscience and how your skills can help us reimagine medicine. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving machine learning or high-dimensional data, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Healthcare Businesswomen’s Association
✨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 apply to real-world problems, particularly in clinical settings.
✨Showcase Your Communication Skills
Since you'll need to translate complex data findings into actionable insights, practice explaining your past projects in simple terms. Use storytelling techniques to illustrate how your work has impacted decision-making in previous roles.
✨Familiarise Yourself with the Company’s Mission
Understand the company's purpose of reimagining medicine and how your role as a Senior Principal Data Scientist fits into that vision. Be prepared to discuss how your expertise can contribute to improving patient outcomes in neuroscience.
✨Prepare for Technical Questions
Expect technical questions related to high-dimensional data analysis and clinical trial design. Brush up on your programming skills in R and Python, and be ready to solve problems on the spot or discuss your approach to tackling complex datasets.
