Experienced Data Scientist looking for challenges, ideally in genomics, energy, climate, or space industries
========
Location: London, U.K
Remote: Yes
Willing to relocate: Yes, worldwide
Technologies: Expert in PyData Stack (Pandas, Numpy, Matplotlib, Scikit-Learn, Dask, etc). TensorFlow, PyMC, Google Cloud, Python, Java, Haskell
Résumé/CV: <a href="
Linkedin: <a href="
Email: markdunne02 at gmail
========
Currently a practicing Data Scientist using machine learning to understand genomics, and predict CRISPR on-target and off-target activity. Experience working with enormous genomic datasets and distributing work across clusters on Google Cloud (also know a bit about Amazon AWS). Handy with statistics, and Bayesian inference. Big proponent of using anything but p-values and confidence intervals (they answer the wrong questions!). Background in computer science (graduated first class honours), and experience working as a software developer in a tier 1 investment bank. Good understanding of how to write quality production code that is performant and reusable by the rest of the team.