Scientist, Applied Bioinformatics

hace 2 meses


Sevilla, España Bristol-Myers Squibb A tiempo completo

.Working with UsChallenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment.We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.Bms.Com/working-with-us.We are seeking an innovative scientist to join our Applied Bioinformatics team in the Computational Genomics group. This group of computational scientists is responsible for advancing Bristol-Myers Squibb's industry-leading pipeline in multiple therapeutic areas (including Immuno-Oncology, Cardiovascular, Fibrosis, and Immunoscience) through the strategic application of cutting-edge bioinformatics approaches. Expertise in contemporary methods for processing, analysis, integration and visualization of NGS data, including single cell sequence data and familiarity with Machine learning/Deep learning approaches are prerequisite. The position would suit an individual with exceptional NGS bioinformatics, computational biology, communication and collaboration skills focused on development of innovative methods, for the exploration of new and existing data types.Responsibilities- Develop and apply leading-edge computational analysis and biological interpretation approaches aligned with key BMS scientific objectives and with focus on bulk and single-cell NGS profiling experiments.- Integrate data across assay platforms and transfer knowledge to impact early drug discovery and translational development programs.- Apply contemporary methods for genomic data processing, analysis, interpretation and visualization. Contribute to development and implementation of both established and novel NGS data processing protocols.- Participate in algorithm, platform & vendor performance evaluations, development of novel analytical protocols and pipelines.- Author scientific reports, and present methods, results and conclusions to publishable standard.- Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide.QualificationsEssential requirements:- Ph.D. in Bioinformatics, Computational Biology or another relevant field or M.Sc. in one of the same fields and 2+ years of experience in the field



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