Data Scientist
Vor 2 Tagen
200+ compounds are supported by the quantitative drug developers in Early Development Analytics at Novartis. We transform data from multiple sources - clinical, biomarker, digital sensor, imaging - into analyses and insights that build the basis for making innovative drugs accessible for patients. We influence decision-making in cross-functional international teams from early to late phase drug development.- What you’ll be doing?- In collaboration with cross-functional quantitative partners, provide quantitative, scientific and strategic input to support the execution of the integrated precision medicine biomarker strategies in drug development.
- Contribute to planning, execution, interpretation, and communication of innovative exploratory biomarker analyses, to facilitate internal decision making, publications and support submissions
- Represent the Analytics line functions on cross-functional teams for the assigned projects. Responsible for functional alignment and ensuring line function awareness throughout the assigned activities
- Participate in interactions with external parties (e.g., key opinion leaders, health authorities), and represent Novartis in statistical discussions at external congresses, conferences and scientific meetings
- Drive and promote the use of innovative approaches within the organization, through scientific collaborations, publications in scientific peer reviewed journals and presentations at professional meetings
- Contribute to departmental initiatives (e.g., infrastructure/ process-related or scientific activities)
- 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.
- Collaborate with other line functions. Explain statistical concepts in an easily understandable way to non-statisticians and provide adequate statistical justifications and interpretation of analysis results for actions/decisions/statements, when required.
**Commitment to Diversity & Inclusion**:
- Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve._
**Minimum requirements**
- What you’ll bring to the role:
- Advanced degree in statistics, data science, bioinformatics, or other quantitative discipline with extensive exposure to bioinformatics. MS with 4+ years relevant work experience or PhD with relevant work experience (including internship)
- Strong knowledge and understanding of statistical methods such as meta-analysis, mixed effect modeling, longitudinal modeling, time to event analysis, Bayesian methods, bagging/boosting, variable selection methods (e.g., lasso, elastic net, random forest), design of experiments
- Strong programming skills in R. Demonstrated knowledge of data visualization and exploratory analysis.
- Good interpersonal and communication skills (verbal and writing), able to work effectively on a multidisciplinary team in a matrix organization
Desirable:
- Familiarity with statistical and analytical methods for genetics and omics data analysis, and working knowledge of high dimensional exploratory biomarker platforms (e.g., next generation sequencing, transcriptomics, proteomics, flow cytometry, etc.)
- Knowledge of drug development processes
**Division**
- Global Drug Development
**Business Unit**
- CD&A GDD
**Country**
- Switzerland
**Work Location**
- Basel
**Company/Legal Entity**
- Novartis Pharma AG
**Functional Area**
- Data Science
**Job Type**
- Full Time
**Employment Type**
- Regular
**Shift Work**
- No
**Early Talent**
- No
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