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Senior Principal Data Scientist

2 months ago

London, Greater London, United Kingdom Novartis Full time
About the Role

We are seeking a highly skilled Senior Principal Data Scientist to join our Multimodal Data & Analytics group at Novartis. As a key member of our team, you will be responsible for providing global strategic data science leadership and support to clinical development programs of low to mid complexity.

Key Accountabilities:
  • Provide technical expertise in data science and machine learning/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making.
  • Perform hands-on analysis of integrated clinical, outcomes, and high-dimensional, patient-level biomarker data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs.
  • 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.
  • 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.
Requirements:
  • Ph.D. in data science, biostatistics, pharmacology, bioinformatics, mathematics, or other quantitative field (or equivalent).
  • More than 3 years of 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, and 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:

At Novartis, we are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. We believe that our people are our greatest asset, and we are dedicated to providing a work environment that is collaborative, innovative, and supportive of our employees' growth and development.