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, presentations, and academic publications. Qualifications: A bachelor's degree (MS or Ph.D. preferred) in a scientific or analytic field (e.g., data science, computer science, statistics, engineering, mathematics
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. This includes being able to use the advanced format features and complex mathematical functions in Word and Excel. Demonstrated success in following through and completing projects. Excellent organizational
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background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong knowledge in bioinformatics, machine learning
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testing experience can be valuable. Statistics and Mathematics: Machine learning (supervised and unsupervised) methodology and evaluation including discrimination vs. calibration measures and (hyper
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Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will be tailored to match each postdoc’s strengths and growth goals. If you are