Research Scientist Mathematical Modelling and Quantitative Systems Pharmacology at Celgene

Expires in 11 days

SEVILLA, Spain Req #: 1804288
Location: SEVILLA, Spain
Job Category: Research and Early Development
Work Location: Calla Americo Vespucio 41092
Organization: Computational Biology
Employee Status: Full-time
Job Type: Fixed_Term
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.
(Please note: To apply for this role, you must supply both a CV and a cover letter, outlining your motivations / suitability / background)
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.

About Us

At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients. Our vision as a company is to build a major global biopharmaceutical corporation while focusing on the discovery, the development, and the commercialization of products for the treatment of cancer and other severe, immune, inflammatory conditions.
"At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients."
There are more than 300 clinical trials at major medical centers using compounds from Celgene. Investigational compounds are being studied for patients with incurable hematological and solid tumor cancers, including multiple myeloma, myelodysplastic syndromes, chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), triple-negative breast cancer and pancreatic cancer. As committed as we are to clinical accomplishment, we are equally committed to patient support, which is a guiding principle at Celgene. We believe all who can benefit from our discoveries should have the opportunity to do so. Celgene puts patients first with industry-leading programs that provide information, support and access to our innovative therapies.

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