SENIOR SCIENTIST, IMAGING AI

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.
Overview Within the Informatics & Predictive Sciences team at CITRE (Seville, Spain), we seek enthusiastic and exceptional candidates for a senior scientist position with a demonstrated research background in machine learning, a track record of independent research, experience in creatively solving technical problems, and a proven ability to deliver prototype predictive models based on the latest published research.
CITRE is part of the Bristol Myers Squibb’s research network in Europe and performs cutting-edge computational research to inform decisions across all stages of drug development.
Areas of research include computational and network biology, machine/deep learning, cheminformatics, predictive modelling, patient stratification, and method development for analysis and interpretation of biological data.
The candidate will work as part of a multidisciplinary team focused on designing and deploying machine learning methods.
She/he will be able to perform pioneering and impactful research alongside collaborative computational and experimental scientists.
We encourage inquiries from those with a background in AI/ML who also have an interest in innovation and interdisciplinary application of computational approaches to life sciences data.
The Role Participate in our growing effort to apply cutting-edge Imaging AI/ML techniques towards the development of novel therapies to treat cancer and other diseases of unmet need Collaborate closely with teams across the company to solve complex problems, including design and implementation of computer vision, geometric deep learning and/or generative models.
Refine ML models and workflows by performing exploratory data analysis on large datasets.
Creatively propose hypotheses and test them rigorously.
Author scientific reports, and present methods, results, and conclusions to publishable standard.
Minimal Qualifications Ph.
.
in Machine learning, Bioinformatics, Computational Chemistry, Electrical Engineering, Computer Science, Statistics, Applied Math, Physics, or related technical field Experience or interest in applying contemporary imaging deep learning methods Publication record in relevant conferences or journals Expertise in Python and scientific libraries (Pandas, Numpy, Scipy, Scikit-learn, ….
etc) Experience with one DL framework among PyTorch, TensorFlow, and JAX.
Good verbal and written English communication skills.
Curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts.
Nice to have 2+ years of postdoctoral experience in experience in industry or academy.
Experience with ML applied to digital pathology problems is a strong plus.
Prior research projects in pharma/biotech, university, or hospital environments.
Experience managing multi-modal data (omics, imaging and time-series signals).
Previous experience using cloud-based computing and software engineering frameworks (e.
.
Docker, Git).
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.