Opening for a Modeling, Analysis, and Theory scientist (Allen Institute)

The Allen Institute for Brain Science is engaged in a major effort to understand cell types of the brain. We are seeking to fill a position at the level of Scientist to work on the neuron type identification problem. We generate unprecedented multi-modal, high-throughput datasets that present challenging and interesting cell type classification problems that enable the application of modern machine learning methods, and pose new problems that require the development of novel methods. In addition to the mature mouse cortical cell types program, the Institute’s human cortical cell types project has already amassed hundreds of samples. This position will work with the Institute’s quantitative and experimental scientists on high-priority problems involving machine learning that include (i) developing a probabilistic approach to defining cell types, (ii) data fusion for anatomical, physiological, and molecular datasets, (iii) a cross-species correspondence of cell types, and (iv) deep learning based analysis of anatomical data.

ESSENTIAL DUTIES & RESPONSIBILITIES: 

  • Participate in team efforts to develop novel neuronal cell type classification algorithms.
  • Analyze the quality of resulting classifications.
  • Develop computer vision methods for the analysis of anatomical data.
  • Participate in a highly interactive and multidisciplinary environment.
  • Publish/present findings in peer-reviewed journals/scientific conferences.

BASIC QUALIFICATIONS

  • PhD degree in computational neuroscience, physics, mathematics, applied mathematics, engineering, or related field.
  • Strong background in scientific computing.

PREFERRED QUALIFICATIONS

  • Proven independent thinking.
  • Experience in Bayesian approaches and/or neural networks is preferred.
  • Experience in computational neuroscience is preferred.
  • Ability to work in a collaborative environment.

Education/Experience/Certifications

PhD degree in computational neuroscience, physics, mathematics, applied mathematics, engineering, or related field.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

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