SENIOR SCIENTIST, TRANSLATIONAL IPS, COMPUTATIONAL BIOLOGY

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.
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.
Do not miss this opportunity to join our welcoming, cross-functional scientific community.
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).
Basic understanding of disease biology and molecular mechanisms in oncology.
Expertise in contemporary machine-learning/AI methods is a plus.
Problem-solving and collaboration skills, with a knack for rigorous and creative thinking.
Excellent communication, data presentation, and visualization skills.
Fluent in written and verbal English.
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.