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For Companies At a Glance
- Tasks: Lead data science initiatives to solve critical business problems and enhance drug development.
- Company: Join Novartis, a leader in reimagining medicine to improve lives.
- Benefits: Enjoy hybrid work options and a collaborative, inclusive environment.
- Why this job: Make a real impact on patient care while working with cutting-edge technologies.
- Qualifications: Ph.D. in data science or related field with 6+ years in clinical drug development required.
- Other info: Opportunity to empower and guide a team while managing strategic projects.
The predicted salary is between 54000 - 84000 £ per year.
Job Description Summary
– Understands complex and critical business problems from various stakeholders and functions, formulates integrated analytical approaches to mine data sources, employs statistical methods and machine learning algorithms to solve unmet medical needs, discover actionable insights, and automate processes to reduce effort and time for repeated tasks.
– Manages the definition, implementation, and adherence to the overall data lifecycle of enterprise data, from acquisition or creation through enrichment, consumption, retention, and retirement, ensuring the availability of clean, accurate data throughout its lifecycle.
– Demonstrates high agility to work across various business domains.
– Integrates business presentations, visualization tools, and storytelling to communicate findings effectively to business users, highlighting their impact.
– Independently sets strategy, manages budgets, ensures appropriate staffing, and coordinates projects within the area. If managing a team, empowers team members, providing guidance and coaching with limited oversight from senior managers.
Job Description
Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people\’s lives.
We are optimizing our processes, investing in new technologies, and building capabilities in specific therapeutic areas and platforms to bring medicines to patients faster.
We seek talented individuals like you to join us and help give people with diseases and their families a brighter future.
Apply today and join a place where we thrive together!
The Role
As an Associate Director of Data Science in the Medical Affairs Advanced Quantitative Sciences group, you will discuss and implement data science methodologies applied to patient-level data (clinical, real-world, biomarker) across clinical development. You will combine your data science, AI skills, and scientific knowledge in biology or medicine to support drug development decisions in 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:
- Contribute to planning, execution, interpretation, validation, and communication of exploratory analyses and algorithms to facilitate decision-making.
- Provide technical expertise in data science and machine learning/AI to identify influencing opportunities and discuss white papers/regulatory policies.
- Perform hands-on analysis of integrated clinical trial and real-world data to generate evidence for decision-making in drug development.
Your Experience
- Ph.D. in data science, biostatistics, or a related quantitative field (or equivalent).
- Over 6 years of experience in clinical drug development with extensive clinical trial exposure.
- Strong knowledge of statistical methods like time-to-event analysis, machine learning, meta-analysis, mixed-effect modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design.
- Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling.
- Excellent communication skills, both verbal and written.
- Ability to develop and deliver clear presentations for decision-making in internal and external settings.
Why Novartis: Helping people with diseases takes innovative science and a community of passionate, collaborative individuals. Join us to create a brighter future:
Commitment to Diversity & Inclusion: We are dedicated to building an inclusive, diverse work environment that reflects the communities we serve.
Join our Novartis Network: Not the right role? Sign up at to stay connected and learn about future opportunities.
Skills Desired
Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (ML), Master Data Management, Python, R, Statistical Analysis
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Associate Director Data Science employer: Novartis
Contact Detail:
Novartis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director Data Science
✨Tip Number 1
Familiarize yourself with the latest advancements in data science methodologies, especially those related to clinical development. Understanding how these methodologies can be applied to patient-level data will give you a significant edge during discussions.
✨Tip Number 2
Showcase your experience with statistical methods and machine learning algorithms by preparing examples of how you've used them in past projects. Be ready to discuss specific cases where your insights led to impactful decisions.
✨Tip Number 3
Highlight your programming skills in R and Python, as well as your ability to create compelling data visualizations. Consider preparing a portfolio of your work that demonstrates your technical expertise and storytelling abilities.
✨Tip Number 4
Network with professionals in the field of data science and clinical drug development. Engaging with others can provide valuable insights and may even lead to referrals or recommendations for the Associate Director position.
We think you need these skills to ace Associate Director Data Science
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Associate Director Data Science position. Tailor your application to highlight your relevant experience in data science methodologies, clinical drug development, and statistical methods.
Highlight Relevant Experience: In your CV and cover letter, emphasize your Ph.D. and over 6 years of experience in clinical drug development. Showcase specific projects where you applied machine learning and statistical analysis to solve complex problems.
Showcase Technical Skills: Clearly outline your programming skills in R and Python, as well as your knowledge of data visualization and predictive modeling. Provide examples of how you've used these skills in previous roles to drive decision-making.
Communicate Effectively: Since excellent communication skills are crucial for this role, ensure that your application materials are clear and concise. Use storytelling techniques to convey your findings and impact in previous positions, making it easy for the hiring team to see your potential contributions.
How to prepare for a job interview at Novartis
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with statistical methods and machine learning algorithms in detail. Highlight specific projects where you've applied these techniques, especially in clinical drug development.
✨Demonstrate Your Communication Skills
Since the role requires translating complex data findings into actionable insights, practice explaining your past work in a clear and concise manner. Use examples that illustrate how your communication led to impactful decisions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you had to analyze patient-level data and how your insights influenced drug development decisions.
✨Emphasize Collaboration and Leadership
If you have experience managing teams or collaborating with cross-functional groups, be sure to highlight this. Discuss how you empower team members and ensure project success through effective coordination.
