Scientific Researcher

3 weeks ago


Cambridge, Massachusetts, United States Bristol-Myers Squibb Full time

At Bristol-Myers Squibb, we are committed to transforming patients' lives through science. As a Scientific Researcher, you will have the opportunity to work on cutting-edge projects that combine machine learning and computational biology to analyze spatial transcriptomics data.

This role is ideal for individuals with a strong background in computational biology, computer science, or bioinformatics. You will be responsible for evaluating and applying published spatial trajectory analysis methods to well-characterized datasets, with the goal of reconstructing accurate and biologically faithful trajectories.

As a member of our dynamic and collaborative team, you will gain hands-on experience working with large-scale data and cutting-edge methods. You will also have the opportunity to connect with colleagues across different teams and gain a broader understanding of drug development.

Key responsibilities include exploring and evaluating published spatial trajectory analysis methods, applying the selected method to a well-characterized dataset, and interpreting disease state changes. If time allows, you will also have the opportunity to benchmark the method against baseline models and other published methods.

Qualifications and experience include a PhD in computational biology, computer science, bioinformatics, or related fields, experience using Python to analyze genomics data, and experience working in high-performance computing and Linux environments. Knowledge of R is a plus but not required.


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