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.
Position Summary
In this role, the selected candidate will use cheminformatics methods, scalable cloud high performance computing resources and an open source machine learning platform to build and refine a predictive model relevant to drug discovery. The candidate will leverage publicly available data to train an initial version of the model and generate statistics on its performance. The candidate will then add proprietary in-house data to augment the publicly available data and compare the model with and without the additional data. The position will provide the successful candidate with an introduction to representing small molecules in a computer, understanding machine learning platforms and techniques as well as introducing scalable cloud computing.
Key Responsibilities
Qualifications & Experience
Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. 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.
Job ID: 42907
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