The ideal candidate will have an undergraduate or graduate life science degree (biological, chemical, or structural biology) as well as substantial course work or work experience involving computational biology, statistics or advanced mathematics, such as data reduction techniques (e.g., principal component analysis, t-SNE, etc.), machine learning (e.g., regression, neural networks, artificial intelligence, etc.), discovery of classifiers (e.g., support vector machines, decision trees, kernel analysis, etc.), Bayesian analysis, or other computational optimization problems (e.g., minimization of a target function through simulated annealing, etc.). The ideal candidate will be able to read and understand computer source code in one or more programming languages such as Python. Knowledge of next generation sequencing techniques is not required but would be beneficial. Further, candidates must possess excellent academic credentials and strong research, writing, communication, interpersonal, and organizational skills. We value collegiality and diversity among our staff and seek to make the practice both professionally and personally rewarding. Illinois bar membership is required for any associate candidates. Morgan Lewis is not currently accepting resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Morgan Lewis hires said candidate. COVID-19: Morgan, Lewis & Bockius LLP requires its personnel to be fully vaccinated against COVID-19. Proof of vaccination is required.