Celgene Research Scientist, Machine Learning & Predictive Science in Sevilla, Spain
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.
Research Analytics is a global team of computational scientists, operating across six R&D sites. 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 and identify therapeutic targets, 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, Machine Learning & Predictive Science. The successful candidate will work closely with Celgene’s global Research Analytics team to develop and apply robust predictive methodologies across drug development programs. Patterns identified from high-throughput molecular data will contribute to discovery research, clinical programs, and prediction of patient response across a variety of oncology and inflammatory diseases of unmet medical need. Also, we encourage our scientists to identify and explore innovative ways for computational research to impact projects and guide Celgene decision making.
Prior biological or clinical expertise is not required – experience of applying machine learning to real-world problems and a strong interest in the interdisciplinary application of predictive methods to life sciences data are imperative.
Responsibilities include, but are not limited to:
Implementing and developing contemporary predictive algorithms, evaluating and assessing the most suitable feature space representation and algorithm type for a given problem
Translating biological hypotheses into robust and reproducible classification algorithms, suitable for clinical diagnostics
Apply advanced predictive models to biomedical data and questions (in-house/public high-throughput profiling, clinical data, integration of multiple data types, mechanistic inference)
Contribute machine learning expertise to in-house projects and external collaborations
Presentation and reporting of methods, results and conclusions to a publishable standard
PhD in applied machine learning, computer science, computational biology / bioinformatics or related fields, from a recognized higher-education establishment
Prior experience (3+ years minimum) of inter-disciplinary applied machine learning in an academic or scientific research scenario
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
COMMITTED TO IMPROVING THE LIVES OF PATIENTS WORLDWIDE
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.
Celgene is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Celgene complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Celgene in the U.S.COMMITTED TO IMPROVING THE LIVES OF PATIENTS WORLDWIDE