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- Tasks: Lead innovative quantitative approaches in drug development and collaborate across teams.
- Company: Join Novartis, a diverse employer committed to improving lives through science.
- Benefits: Enjoy competitive salary, flexible working, health insurance, and 25 days annual leave.
- Why this job: Make a real impact in healthcare while working with cutting-edge data science techniques.
- Qualifications: Ph.D. in relevant fields with 6 years of experience in innovative quantitative methods.
- Other info: Be part of a community that values collaboration and diversity.
The predicted salary is between 54000 - 84000 £ per year.
Job Description
This job is with Novartis, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Summary Within the Quantitative Sciences drug development function, the Advanced Methodology and Data Science pillar plays a crucial role in enhancing analytical capabilities to support drug development and regulatory decision-making. This Associate Director position focuses on optimizing approaches for data-driven decision-making, utilizing clinical study data along with other internal and external data sources.
Key Responsibilities:
• Advanced Modeling & Simulation: Develop and apply sophisticated models to optimize study design, analyze complex datasets, and enhance predictive capabilities.
• Innovative Analytical Methods: Explore and implement novel statistical techniques such as Bayesian modeling, Statistical Learning, Machine Learning, and Causal Inference.
• Rapid-Response Analyses: Conduct flexible, rapid-response analyses to address emerging scientific and regulatory questions.
• Cross-Functional Collaboration: Work closely with Biostatistics, Pharmacometrics, Statistical Programming, and drug development teams to enhance study design, data interpretation, and evidence generation strategies.
• Problem Identification and Solution Development: Identify recurring problems and use a combination of reproducible research techniques and tool development to provide general solutions that can be applied repeatedly.
Quantitative Science Education: Play a key role in quantitative science education and awareness efforts. About the Role
Location: United Kingdom
Within the Quantitative Sciences drug development function, the Advanced Methodology and Data Science pillar plays a crucial role in enhancing analytical capabilities to support drug development and regulatory decision-making. This Associate Director position focuses on optimizing approaches for data-driven decision-making, utilizing clinical study data along with other internal and external data sources.
- Advanced Modeling & Simulation: Develop and apply sophisticated models to optimize study design, analyze complex datasets, and enhance predictive capabilities.
- Innovative Analytical Methods: Explore and implement novel statistical techniques such as Bayesian modeling, Statistical Learning, Machine Learning, and Causal Inference.
- Rapid-Response Analyses: Conduct flexible, rapid-response analyses to address emerging scientific and regulatory questions.
- Cross-Functional Collaboration: Work closely with Biostatistics, Pharmacometrics, Statistical Programming, and drug development teams to enhance study design, data interpretation, and evidence generation strategies.
- Problem Identification and Solution Development: Identify recurring problems and use a combination of reproducible research techniques and tool development to provide general solutions that can be applied repeatedly.
Quantitative Science Education: Play a key role in quantitative science education and awareness efforts.
Key responsibilities:
Project Level:
- Lead project support with hands-on expertise in novel quantitative approaches, including innovative clinical trial design, quantitative decision-making, and incorporating big data evidence (e.g., biomarkers, digital technology, real-world evidence).
- Foster collaborative relationships and effective communication with Biostatistics, Pharmacometrics, and development teams to promote and implement innovation.
- Provide agile consulting, guidance, and non-standard exploratory analysis for urgent, unplanned problems.
- Implement and communicate innovative quantitative methods to support regulatory submissions and health authority meetings.
Development Unit/ Enterprise Level:
- Support advanced analytical methods to improve decision-making at the development unit level, including key development decision points, project transitions from research to development, dose-finding, clinical development plans, target product profiles, portfolio evaluations, and in-licensing assessments.
- Develop presentations on the use of advanced quantitative methodologies.
Scientific Innovation and Training:
- Develop new quantitative methods to improve drug development across multiple projects, focusing on clinical trial design, modeling, visualization, machine learning and good data science practice.
- Evaluate the need for new technology, scientific software, visualization tools, and computational approaches to enhance efficiency and quality in drug development.
- Play a key role in global clinical innovation projects, emphasizing the practical application of innovative quantitative approaches.
- Provide training on quantitative methods to colleagues in Biostatistics, Pharmacometrics, and other development functions.
External Engagement:
- Collaborate with regulatory, academic, and industry partners to advance drug development science through innovative quantitative approaches.
- Publish in peer-reviewed journals, organize sessions at professional conferences, and contribute to cross-industry work streams in external scientific working groups.
- Identify opportunities for colleagues in Biostatistics and Pharmacometrics to contribute externally.
Essential Requirements:
- Ph.D. in statistics, biostatistics, data science, machine learning, computational biology or another related field
- Fluent English oral and written
- Very good communication and presentation skill
- 6 years of relevant experience with application of innovative quantitative methods from the R&D or academic setting
- Expert knowledge in a number of relevant quantitative approaches in terms of both theory and hands-on experience
Benefits and Rewards
Competitive salary, Sales incentive bonus, Pension scheme, Share purchase scheme,Health insurance, 25 days annual leave, Flexible working arrangements, subsidized dining facilities, Employee recognition scheme, learning and development opportunities.
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams 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? https://www.novartis.com/about/strategy/people-and-culture
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: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
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Contact Detail:
Novartis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director Biostatistics
✨Tip Number 1
Familiarise yourself with the latest advancements in biostatistics and data science, particularly in areas like Bayesian modelling and machine learning. This knowledge will not only help you during interviews but also demonstrate your commitment to staying at the forefront of the field.
✨Tip Number 2
Network with professionals in the biostatistics and pharmaceutical industries. Attend relevant conferences or webinars where you can meet potential colleagues from Novartis and discuss innovative quantitative methods. Building these connections can provide valuable insights and possibly even referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've applied advanced modelling techniques in past projects. Be ready to explain your thought process and the impact of your work on decision-making, as this aligns closely with the responsibilities of the Associate Director role.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked cross-functionally. The role requires close collaboration with various teams, so demonstrating your ability to communicate effectively and foster teamwork will be crucial.
We think you need these skills to ace Associate Director Biostatistics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in biostatistics, data science, and innovative quantitative methods. Use specific examples that demonstrate your expertise in advanced modelling and simulation techniques.
Craft a Compelling Cover Letter: In your cover letter, express your passion for drug development and how your skills align with the responsibilities of the Associate Director position. Mention your experience with Bayesian modelling, machine learning, and cross-functional collaboration.
Showcase Communication Skills: Since the role requires excellent communication and presentation skills, provide examples in your application that illustrate your ability to convey complex information clearly and effectively to diverse audiences.
Highlight Problem-Solving Abilities: Discuss specific instances where you identified problems and developed innovative solutions using quantitative methods. This will demonstrate your capability to handle the rapid-response analyses required in the role.
How to prepare for a job interview at Novartis
✨Showcase Your Technical Expertise
As an Associate Director in Biostatistics, it's crucial to demonstrate your knowledge of advanced modelling techniques and statistical methods. Be prepared to discuss specific projects where you've applied Bayesian modelling, machine learning, or causal inference, and how these approaches have impacted decision-making.
✨Emphasise Collaboration Skills
This role requires cross-functional collaboration with various teams. Highlight your experience working with biostatistics, pharmacometrics, and statistical programming teams. Share examples of how you’ve fostered effective communication and collaboration to drive project success.
✨Prepare for Rapid-Response Scenarios
Given the need for rapid-response analyses, be ready to discuss situations where you've had to quickly address emerging scientific or regulatory questions. Outline your thought process and the innovative solutions you implemented under pressure.
✨Demonstrate a Commitment to Education
Since the role involves quantitative science education, prepare to talk about your experience in training others. Discuss any workshops or presentations you've led, focusing on how you made complex topics accessible and engaging for your audience.
