Senior Scientist, Applied Machine Learning - Sevilla, España - Bristol Myers Squibb
Descripción
At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science.In oncology, hematology, immunology and cardiovascular disease - and one of the most diverse and promising pipelines in the industry - each of our passionate colleagues contribute to innovations that drive meaningful change.
We bring a human touch to every treatment we pioneer. Join us and make a difference.CITRE is Bristol Myers Squibb's research institute in Europe, and our link to the European research community. Informatics & Predictive Sciences at CITRE performs innovative computational research to inform decisions across all stages of drug development.
Areas of research include computational and network biology, machine/deep learning, cheminformatics, predictive modeling, patient stratification, and method development for analysis and interpretation of biological data.
The Role
- Collaborate closely with teams across the company to solve complex problems, including design and implementation of computer vision, timeseries forecasting, geometric deep learning and/or reinforcement learning 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.
- Strong publication record in relevant conferences or journals
- Experience with one DL framework among PyTorch, TensorFlow, and JAX.
- Excellent verbal and written communication skills. Verbal and written English language fluency are a prerequisite.
- Intense curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts.
Nice to have
- Experience with ML applied to bioimaging, bioinformatics problems, including single cell and spatial omics is a strong plus
- Prior research projects in pharma/biotech, university, or hospital environments.
- Experience managing multimodal data (omics, imaging and timeseries signals).
- Previous experience using cloudbased computing and software engineering frameworks (e.g. Docker, Git).
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.
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