Overview
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As an Associate Director Data Science in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied to patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine to enrich drug development decisions in close collaboration with internal and external partners.
Responsibilities
- You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making.
- You will provide technical expertise in data science and (predictive) machine learning/AI 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 data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs.
Additional responsibilities described elsewhere include: understanding complex and critical business problems from a variety of stakeholders and business functions, formulating integrated analytical approaches to mine data sources, employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights and automating processes for reducing effort and time for repeated use, managing the definition, implementation and adherence to the overall data lifecycle of enterprise data from data acquisition through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its lifecycle. This includes high agility to work across various business domains and translating findings into business impact through presentations, visualization tools and storytelling. It also covers independently setting strategy, managing budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team, empowering the team and providing guidance and coaching with limited guidance from more senior managers.
Your Experience
- Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).
- Working experience in clinical drug development with extensive exposure to clinical trials.
- Strong knowledge and understanding 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.
- 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.
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!
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
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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
