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Ofrecemos una amplia variedad de beneficios, servicios y programas competitivos que brindan a nuestros empleados los recursos necesarios para alcanzar sus objetivos, tanto en el trabajo como en su vida personal. Más información: careers.bms.com/working\\-with\\-us . \n\n \n\n**¿Por qué este puesto?** \n\n \n\nEl equipo de **Biología Predictiva e IA** en CITRE (Sevilla, España) busca un **Científico en Aprendizaje Automático** que aporte experiencia conceptual y resolución práctica de problemas a nuestra misión. Este puesto combina excelencia técnica con independencia y potencial de liderazgo: diseñarás soluciones a problemas complejos, guiarás proyectos con riesgos manejables y compartirás buenas prácticas que fortalezcan tanto a tu equipo como a la organización en general. \n\n \n\nCITRE es el centro europeo de innovación computacional de BMS, donde la IA se aplica en todo el continuo del descubrimiento de fármacos. Aquí, tu trabajo irá más allá de la teoría para convertirse en aplicaciones del mundo real que informen estrategias y toma de decisiones. \n\n \n\nEn particular, el equipo está abordando preguntas urgentes en la investigación biomédica, tales como:* **¿Cómo podemos construir y aplicar modelos fundamentales en oncología y neurociencia** para capturar la complejidad de la biología de las enfermedades y acelerar el descubrimiento de fármacos?\n* **¿Cómo pueden los métodos de IA multimodal integrar datos ómicos, de imágenes y clínicos** para descubrir nuevos mecanismos de enfermedades y oportunidades terapéuticas?\n* **¿Cómo pueden los enfoques de biología predictiva ayudar a anticipar las respuestas de los pacientes** y apoyar estrategias de medicina de precisión?\n\n\nTus contribuciones moldearán directamente cómo abordamos estas preguntas, ayudando a transformar las tecnologías emergentes de aprendizaje automático en un impacto científico y clínico tangible. \n\n \n\n**Qué harás*** **Dar forma a la investigación y la práctica** aplicando tu experiencia en aprendizaje automático a datos biomédicos, aportando conocimientos y buenas prácticas que aborden desafíos científicos y empresariales.\n* **Trabajar de forma independiente** en proyectos que requieren colaboración con socios externos, contribuyendo a la toma de decisiones con mínima supervisión gerencial.\n* **Dirigir y ejecutar proyectos** con objetivos claros, riesgos manejables y uso adecuado de recursos, asegurando resultados de alta calidad.\n* **Ser un recurso para tus colegas**, compartiendo conocimientos, tutorizando a miembros del equipo menos experimentados y ayudando a fortalecer la capacidad del equipo.\n* **Resolver problemas de forma creativa** \\- no solo aplicando métodos existentes, sino también ejerciendo juicio para adaptar y desarrollar nuevos enfoques.\n* **Contribuir a decisiones** cuyo impacto se extiende a tu equipo, equipos relacionados y colaboradores externos, asegurando la alineación con los objetivos generales de BMS.\n\n**Requisitos deseables*** Doctorado en Aprendizaje Automático, Bioinformática, Ciencias de la Computación, Estadística, Matemáticas Aplicadas, Física, Ingeniería Eléctrica o campo relacionado.\n* Experiencia aplicada con métodos de ML tanto establecidos como modernos.\n* Evidencia de proyectos o publicaciones con impacto.\n* Dominio de Python y su ecosistema científico (Pandas, NumPy, SciPy, scikit\\-learn).\n* Experiencia con al menos un framework de aprendizaje profundo (PyTorch, TensorFlow o JAX).\n* Capacidad para comunicar resultados claramente en inglés, tanto por escrito como oralmente.\n* Curiosidad por la biología y motivación para aplicar habilidades computacionales a desafíos de salud.\n\n**Extras deseables*** Experiencia con ML aplicado a patología digital o radiología (2D y/o 3D).\n* Experiencia posdoctoral o equivalente en academia o industria (1\\+ años).\n* Familiaridad con modelos basados en transformadores y aprendizaje auto-supervisado.\n* Trabajo previo en farmacéutica, biotecnología o investigación sanitaria.\n* Experiencia con conjuntos de datos biológicos multimodales (ómicos, imágenes, series temporales).\n* Manejo de clústeres HPC (por ejemplo, SLURM) y herramientas de software como Docker y Git.\n\n\nBristol\\-Myers Squibb es un empleador que ofrece igualdad de oportunidades. Los candidatos calificados recibirán consideración para empleo sin importar identidad de género, raza, color, religión, orientación sexual, origen nacional o discapacidad. \n\n \n\nSi encuentras un puesto que te interesa pero que no coincide perfectamente con tu currículum, te animamos a postular de todas formas. Podrías estar a un paso de un trabajo que transforme tu vida y tu carrera.\n \n\n \n\n**Un trabajo singularmente interesante, carreras que cambian vidas** \n\nCon una visión única tan inspiradora como Transformar la vida de los pacientes mediante la ciencia™, cada empleado de BMS desempeña un papel fundamental en un trabajo que va mucho más allá de lo ordinario. Cada uno de nosotros tiene la libertad de aplicar nuestros talentos individuales y nuestras perspectivas únicas en una cultura de apoyo, promoviendo la participación global en ensayos clínicos, mientras que nuestros valores compartidos de pasión, innovación, urgencia, responsabilidad, inclusión e integridad sacan a relucir el máximo potencial de cada uno de nuestros colegas. \n\n \n\n**Protocolo presencial** \n\n \n\nBMS cuenta con una estructura de ocupación que determina dónde debe realizarse el trabajo. Esta estructura incluye puestos esenciales en sitio, puestos por diseño en sitio, puestos basados en campo y puestos remotos por diseño. El tipo de ocupación asignado depende de la naturaleza y responsabilidades de tu puesto:\n \n\n \n\nLos puestos esenciales en sitio requieren el 100% de las jornadas presenciales en la instalación asignada. Los puestos por diseño en sitio pueden ser elegibles para un modelo híbrido con al menos el 50% de presencialidad en la instalación asignada. En estos puestos, la presencialidad se considera una función esencial del trabajo y es fundamental para la colaboración, la innovación, la productividad y una cultura positiva en la empresa. Para los puestos basados en campo y remotos por diseño, la capacidad de viajar físicamente para visitar clientes, pacientes o socios comerciales y asistir a reuniones en nombre de BMS según sea necesario constituye una función esencial del trabajo.\n \n\n \n\nBMS se compromete a garantizar que las personas con discapacidades puedan destacar mediante un proceso de reclutamiento transparente, adaptaciones razonables en el lugar de trabajo y apoyo continuo en sus funciones. Los candidatos pueden solicitar una adaptación razonable antes de aceptar una oferta de empleo. Si necesitas adaptaciones razonables durante el proceso de solicitud o en cualquier etapa del reclutamiento, dirige tus consultas a adastaffingsupport@bms.com . 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