Celgene is a global biopharmaceutical company leading the way in medical innovation to help patients live longer, better lives. Our purpose as a company is to discover and develop therapies that will change the course of human health. We value our passion for patients, quest for innovation, spirit of independence and love of challenge. With a presence in more than 70 countries, and growing – we look for talented people to grow our business, advance our science and contribute to our unique culture.
Informatics & Predictive Science is a global team of computational scientists. We pursue innovative computational research towards Celgene objectives, across domains ranging from bioinformatics, computational biology to machine learning, systems biology and mathematical modeling.
Current areas of investigation include application and development of novel computational approaches to unravel the mechanism of action of Celgene’s pipeline compounds, methods for integrative analysis of omics data, predictive approaches to patient stratification, and mathematical models of intra- and inter-cellular processes. In addition, we are involved in a range of academic collaborations aimed at understanding disease at molecular and systems level.
To join our team at the Celgene Institute for Translational Research Europe (CITRE) in Seville, Spain, we are looking for a Research Scientist, Mathematical Modeling & QSP. The successful candidate will work closely with Celgene’s global mathematical modeling team to develop and apply mathematical and systems models across drug development programs. Also, we encourage our scientists to identify and explore innovative ways for computational research to impact projects and guide Celgene decision making.
Responsibilities include, but are not limited to:
- Implementation and development of mathematical models (mechanistic, systems biology and quantitative systems pharmacology models), in close collaboration with experimental biologists and clinicians, in diverse disease indications, including immunology and CAR T cell therapies
- Model sensitivity analysis and uncertainty quantification
- Application and development of data visualization, integration and analytical methods, as well as machine learning methods
- Presentation and reporting of methods, results and conclusions to a publishable standard
- PhD in applied mathematics, computer science, computational biology / bioinformatics or related fields, from a recognized higher-education establishment
- Prior experience (3+ years minimum) of inter-disciplinary applied mathematical modeling in an academic or scientific research scenario
- Prior experience with mathematical modeling in pharmaceutical industry would be advantageous
- Expertise in algorithmic implementation using both existing software libraries and de novo code and scripting (e.g. R/Matlab, Python)
- Experience with version control and high-performance computing, including cloud computing and/or big data analytics platforms
- Collaborative spirit, proven ability to contribute beyond personal projects
- Ability to understand and communicate the output of computational research to multi-disciplinary scientific teams
- Verbal and written English language fluency. Proficiency in Spanish would be advantageous
The position presents a unique opportunity to experience research in an industry setting and to contribute to helping patients with unmet medical need, while maintaining a link to academic research (publication is encouraged).
The position advertised is fixed-term (24 months) and based in Seville, Spain.
This job is posted by Celgene.
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