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For Companies At a Glance
- Tasks: Lead data science projects to solve critical business problems and improve drug development.
- Company: Join Novartis, a leader in innovative medicine dedicated to improving lives.
- Benefits: Enjoy hybrid working, corporate perks, and a commitment to diversity and inclusion.
- Why this job: Make a real impact in healthcare while collaborating with passionate professionals.
- Qualifications: Ph.D. in data science or related field with 6+ years in clinical drug development.
- Other info: Work in a dynamic environment with opportunities for growth and learning.
The predicted salary is between 43200 - 72000 £ 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 address unmet medical needs, discover actionable insights, and automate processes to reduce effort and time for repetitive tasks. Manages the definition, implementation, and adherence to the data lifecycle of enterprise data—from acquisition or creation through enrichment, consumption, retention, and retirement—ensuring the availability of clean, accurate data throughout its useful lifecycle. Demonstrates high agility to work across different business domains. Integrates business presentations, visualization tools, and storytelling to communicate findings clearly and impactfully to business users. Independently sets strategy, manages budgets, and ensures appropriate staffing and project coordination within the area. If managing a team, empowers members, provides guidance, and coaches 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 processes, investing in new technologies, and building therapeutic and platform capabilities to bring medicines to patients faster. We seek talented individuals like you to join us and help give people with disease and their families a brighter future. Apply today and thrive together!
The Role
As an Associate Director of Data Science in the Medical Affairs Advanced Quantitative Sciences group, you will lead data science methodologies applied to patient-level data—clinical, real-world, and biomarker data—across clinical development. You will combine your expertise in data science and AI with your scientific knowledge in biology or medicine to support drug development decisions in collaboration with internal and external partners.
Key Accountabilities:
- Contribute to planning, executing, interpreting, validating, and communicating exploratory analyses and algorithms to facilitate decision-making.
- Provide technical expertise in data science and machine learning/AI to identify opportunities influencing internal decisions and regulatory discussions.
- Perform hands-on analysis of integrated clinical trial and real-world data to generate evidence supporting decision-making in drug development.
Your Experience
- Ph.D. in data science, biostatistics, or a related quantitative field (or equivalent).
- Experience in clinical drug development, especially clinical trials.
- Strong knowledge of statistical methods such as time-to-event analysis, machine learning, meta-analysis, mixed-effects and longitudinal modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design.
- Proficiency in R and Python programming, with skills in data visualization, exploratory analysis, and predictive modeling.
- Excellent communication skills, both verbal and written.
- Ability to prepare and deliver clear presentations for decision-making contexts.
Why Novartis: Join us to help people with disease and their families. Collaborate, support, and innovate to achieve breakthroughs that change lives. Learn more:
Commitment to Diversity & Inclusion: We strive to build an inclusive environment reflecting the patients and communities we serve.
Join our Novartis Network: Not the right role? Sign up to stay connected:
Skills Desired: Apache Spark, AI, Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning, Python, R, Statistical Analysis
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Contact Detail:
Novartis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director Data Science
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning, especially as they relate to healthcare. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the medical data science community. Attend relevant conferences or webinars, and connect with people on platforms like LinkedIn. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 3
Prepare to showcase your technical skills in R and Python. Consider working on a project that involves real-world data analysis and be ready to discuss your approach and findings during the interview.
✨Tip Number 4
Practice your communication skills, particularly in presenting complex data findings in an understandable way. You might be asked to explain your previous work to non-technical stakeholders, so being clear and concise is key.
We think you need these skills to ace Associate Director Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and clinical drug development. Use specific examples that demonstrate your expertise in statistical methods and programming languages like R and Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for improving patient outcomes through data science. Discuss how your background aligns with the role's responsibilities and how you can contribute to the company's mission of reimagining medicine.
Showcase Your Technical Skills: Clearly outline your proficiency in statistical analysis, data visualization, and machine learning techniques. Mention any relevant projects or research that demonstrate your ability to apply these skills in real-world scenarios.
Prepare for Interviews: Be ready to discuss your previous work experiences in detail, especially those related to clinical trials and data analysis. Prepare to explain complex concepts in a way that is accessible to non-technical stakeholders, as effective communication is key in this role.
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. Highlight specific projects where you've applied these skills, especially in clinical drug development, as this will demonstrate your capability to handle the technical demands of the role.
✨Communicate Clearly and Effectively
Since the role requires excellent communication skills, practice explaining complex data science concepts in simple terms. Use examples from your past work to illustrate how you’ve communicated findings to stakeholders, ensuring they understand the impact of your analyses.
✨Demonstrate Agility Across Domains
Prepare to discuss how you've successfully worked across various business domains in previous roles. Share examples that showcase your adaptability and ability to integrate insights from different areas, which is crucial for the Associate Director position.
✨Prepare for Strategic Discussions
As this role involves setting strategy and managing budgets, think about how you would approach these responsibilities. Be ready to discuss your experience in project management and how you empower team members, as well as your vision for leading data science initiatives.
