Senior Scientist, Translational Ips, Computational Biology

hace 1 semana


Sevilla, España Bristol-Myers Squibb A tiempo completo

.Senior Scientist, Translational IPS, Computational Biology Working with Us Challenging. 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. Located at Seville, Spain, CITRE is Bristol Myers Squibb's European research hub and our gateway to the vibrant European research scene. At CITRE, we are at the forefront of therapeutic innovation, working to transform the lives of cancer patients. Physical attendance is required for this position. We are seeking a computational biologist to join our Translational IPS team as a Senior Scientist. If you have advanced computational skills and bioinformatic methods, experience with 'omics analysis, and a good understanding of the key concepts in molecular and cellular biology of cancer, we want to hear from you Your mission will be to dissect the molecular complexity of oncological diseases to drive precise drug discovery and inform drug development. We encourage applications from individuals engaged in innovative translational research in oncology, whether in clinical, academic, or industrial settings. Responsibilities Use computational methods to identify molecular subtypes with unmet need in oncological diseases. Conduct in-depth analyses to uncover the key biological themes and disease mechanisms driving disease subtypes. Collaborate with multi-disciplinary teams to pinpoint potential therapeutic targets. Contribute to accurately represent key disease states in ex-vivo models and other validation scenarios. Work closely with experimental teams in the iterative process of validation of therapeutic candidates and/or mechanistic hypotheses. Summarize your findings and report conclusions to BMS decision-making bodies. Qualifications PhD with 2+, or MS with 4+ years of experience in computational biology, bioinformatics or related fields. Experience in biotech or pharmaceutical industries is a plus. Advanced skills in a high-level programming language such as R or Python for data analysis and visualization. Expertise in downstream analysis for common NGS data types, such as WGS/WES/panel-seq, bulk RNA-seq, and single-cell RNAseq (experience in building NGS pipelines is not required but is a plus)



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