Principal/snr Principal Data Scientist

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.

Your responsibilities include, but are not limited to:

- 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 for functional alignment and ensuring line function awareness throughout the assigned activities
- Participate in interactions with external parties 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 the scientific content of materials for internal decision boards/regulatory/submission documents.
- Collaborate with other line functions explaining statistical concepts in an easily understandable way to non-statisticians and provide adequate statistical justifications and interpretation of analysis results for actions/decisions/statements.

**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:
Essential:

- 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 and 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

Why consider Novartis?

769 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.

Imagine what you could do at Novartis

**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**

Yes