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- Tasks: Lead data science initiatives to solve critical medical challenges and enhance drug development.
- Company: Join Novartis, a leader in innovative medicines dedicated to improving lives.
- Benefits: Enjoy hybrid work options and be part of a diverse, inclusive team.
- Why this job: Make a real impact on patient lives while collaborating with passionate professionals.
- Qualifications: Ph.D. in a quantitative field and 3+ years in clinical drug development required.
- Other info: Opportunity for first-time people management experience in a supportive environment.
The predicted salary is between 60000 - 84000 £ per year.
-Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To 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 usefull lifecycle. High agility to be able to work across various business domains.High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. If managing a team: empowers the team and provides guidance and coaching, with initial guidance from more senior leaders supervised. This is usually their first people manager experience .
About the Role
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!
The Role
As a Senior Principal Data Scientist in the Multimodal Data & Analytics group you will be responsible for the discussion and implementation of data science and high-dimensional modeling methodologies applied to patient-level data (including various biomarker, clinical and outcomes data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology, pharmacology or medicine to enrich drug development decisions in close collaboration with internal and external partners.
This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office.
Key Accountabilities:
You will 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.
You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory biomarker and/or AI analyses and algorithms, to facilitate internal decision making, and support submissions of candidate drug and associated companion diagnostics packages.
You will 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 as well as discussions on white papers/regulatory policy.
You will perform hands-on analysis of integrated clinical, outcomes and high-dimensional, patient-level biomarker data from clinical trials and the real world (genomics, transcriptomics, proteomics, flow cytometry etc.) to generate fit-for-purpose evidence that is applied to decision making in drug development programs.
You will contribute to the scientific content of materials for internal decision boards/regulatory/submission documents: Briefing Books, decision criteria, trial design(s), responses to Health Authority questions.
You will 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).
More than 3 years experience in pre-clinical and clinical drug development with extensive exposure to clinical trials.
Clinical, pharmacological, and therapeutic knowledge of at least one disease area.
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 modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials.
Familiarity with statistical and analytical methods for genetics and -omics data analysis and working knowledge of high dimensional biomarker platforms (e.g., next generation sequencing, transcriptomics, proteomics, flow cytometry, etc.).
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: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? :
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:
Division Development
Business Unit Innovative Medicines
Location United Kingdom
Site London (The Westworks)
Company / Legal Entity GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
Functional Area Data Science
Job Type Full time
Employment Type Regular
Shift Work No
Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.
Senior Principal Data Scientist employer: Sage Valley Senior Living
Contact Detail:
Sage Valley Senior Living Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Principal Data Scientist
✨Tip Number 1
Familiarize yourself with the latest advancements in data science and machine learning, especially as they relate to clinical trials and drug development. This knowledge will help you engage in meaningful discussions during interviews and demonstrate your expertise.
✨Tip Number 2
Network with professionals in the pharmaceutical and biotech industries. Attend relevant conferences or webinars where you can meet people who work at Novartis or similar companies. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've applied statistical methods and machine learning algorithms to solve complex problems. Be ready to explain your thought process and the impact of your work on decision-making in drug development.
✨Tip Number 4
Showcase your ability to communicate complex data findings clearly and effectively. Practice presenting your analyses and results in a way that is accessible to both technical and non-technical audiences, as this skill is crucial for the role.
We think you need these skills to ace Senior Principal Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Principal Data Scientist position. Highlight your experience in data science, clinical trials, and any relevant methodologies in your application.
Tailor Your CV: Customize your CV to reflect your expertise in data science, machine learning, and your understanding of clinical development. Emphasize your programming skills in R and Python, as well as your experience with high-dimensional biomarker data.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in data science and medicine to the goals of the company. Discuss how your skills can contribute to solving unmet medical needs and improving drug development processes.
Showcase Communication Skills: Since the role requires excellent interpersonal and communication skills, provide examples in your application of how you've effectively communicated complex data insights to non-technical stakeholders in previous roles.
How to prepare for a job interview at Sage Valley Senior Living
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've tackled complex business problems using data science methodologies. Highlight your experience with statistical methods and machine learning algorithms, especially in the context of drug development.
✨Demonstrate Cross-Functional Collaboration
Since this role requires working across various business domains, share experiences where you've successfully collaborated with different teams. Emphasize your ability to integrate insights into business presentations and communicate findings effectively.
✨Prepare for Technical Questions
Expect questions related to your technical expertise in data science, particularly around predictive modeling and high-dimensional data analysis. Brush up on your knowledge of statistical methods and be ready to explain how you've applied them in real-world scenarios.
✨Communicate Your Leadership Experience
If you have experience managing teams, be sure to discuss your approach to empowering and guiding team members. Share examples of how you've coordinated projects and managed budgets, as these are key aspects of the role.
