VISITING SCIENTIST - COMPUTATIONAL

En Bristol Myers Squibb, nos inspira una sola visión.
transformar la vida de los pacientes a través de la ciencia.
En oncología, hematología, inmunología y enfermedades cardiovasculares, y una de las líneas de producción más diversas y prometedoras de la industria, cada uno de nuestros apasionados compañeros contribuye a innovaciones que impulsan cambios significativos.
Aportamos un toque humano a cada tratamiento en el que somos pioneros.
Únete a nosotros y marca la diferencia.
Location.
CITRE (Sevilla, ES) Position Summary We are searching for a Visiting Scientist to embark on a transformative 3-month journey with our Informatics & Predictive Sciences team based in Seville, Spain.
Bristol Myers Squibb’s Center for Innovation and Translational Research Europe (CITRE) R&D site based in Seville, Spain brings together computational, clinical, and translational research teams to redefine drug development.
Dive into an environment where your analytical skills meet patient-centric research with a chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity.
Whether your passion lies in bioinformatics, computational biology, machine learning, or a related discipline, we invite you to apply.
In this role, you will have the opportunity to learn, grow, and contribute to the development of therapies that change lives.
We are searching for creative thinkers who are ready to dive into an interdisciplinary adventure, blending technology and science to redefine what is possible.
Who you are We warmly encourage candidates that have the right to work within the European Union to apply for this position, even if not all the following requirements are strictly met.
You are currently enrolled in a doctoral program in bioinformatics, computational biology, machine learning, or a related field (beyond year one) and are eager to apply your knowledge in a practical, real-world setting.
You are fluent in English, and capable of discussing scientific and technical topics.
You enjoy coding in a high-level programming language such as Python, MATLAB, or R and bringing your ideas to execution.
Previous experience working with multiple-omics datasets, AI, or of the application of unsupervised/supervised machine learning methods is desirable.
Our Unique Internship Projects – Where Your Expertise Will Shine.
There are multiple projects you may be involved in spanning different fields of expertise.
You may be involved in one or more of the following types of activities.
Creating and training large deep learning models (Transformers and other architectures) using Python and ML frameworks, such as PyTorch and TensorFlow.
Working with Next Generation Sequencing datasets, especially bulk and single-cell RNA-seq using correlation-based dimension reduction methods, such as ICA, NMF, and WGCNA.
Application process and required information.
Please include a paragraph explaining why you are applying and how you may be a good fit.
Include your CV.
Applications must be received by June 10th, .
Bristol-Myers Squibb is an equal opportunity employer.
Qualified applicants will receive consideration for employment without regard to gender identity, race, color, religion, sexual orientation, national origin or disability.
En todo el mundo, nos apasiona tener un impacto en la vida de los pacientes con enfermedades graves.
Con el poder de aplicar nuestros talentos individuales y perspectivas diversas en una cultura inclusiva, nuestros valores compartidos de pasión, innovación, urgencia, responsabilidad, inclusión e integridad sacan a relucir el mayor potencial de cada uno de nuestros colegas.
Bristol Myers Squibb reconoce la importancia del equilibrio y la flexibilidad en nuestro entorno de trabajo.
Ofrecemos una amplia variedad de beneficios, servicios y programas competitivos que brindan a nuestros empleados los recursos para perseguir sus metas, tanto en el trabajo como en su vida personal.
Enlace de privacidad de datos Creamos medicamentos innovadores para pacientes que sufren enfermedades graves.
También educamos a nuestro diverso equipo a través de trabajo inspirador y opciones profesionales desafiantes.
Independientemente de la función, cada uno de nosotros contribuye con algo.
Y de esa manera marcamos una gran diferencia.