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Job Summary The Van Valen lab is seeking a Software Engineer. The successful candidate will help develop novel deep learning based algorithms for performing single cell image segmentation and tracking. The candidate will also help the Van Valen lab convert these algorithms into production ready tools for the scientific community.
Job Duties The candidate's primary role will be to help the Van Valen group pioneer the next generation of deep learning algorithms for single cell image segmentation and tracking. Key duties and responsibilities include (but are not limited to):
- Code existing deep learning architectures and generate novel deep learning architectures for image segmentation and object tracking. - Test and document the performance of different deep learning architectures. - Construct a production ready image analysis pipeline with version control. - Construct tutorials for cloud computing and write blog posts. - Create interactive image analysis notebooks with Jupyter. - Assist with crowd sourcing of data set annotation. - Interface our deep learning based image segmentation pipeline with existing GUIs. - Assist with GUI development. - Assist with grant writing and paper writing. - Assist research group members with using the created software packages. - Collaborate with Principal Investigator to determine direction of research. - Author or co-author results. - Other duties as assigned.
Basic Qualifications - Master's degree in Computer Science or a related field. - At least three years of experience working as a software developer. - Working knowledge of Python (particularly the numpy/scipy/pandas/scikit-image/scikit-learn data science stack), Java, and C. - Working knowledge of calculus and linear algebra. - Familiarity with modern deep learning methods and libraries (keras/tensorflow and/or Pytorch). - Working knowledge of modern version control packages (I.e git/github). - Excellent oral and verbal communication skills. - Enthusiastic about the opportunity to engage with life science researchers.
Preferred Qualifications - Extensive deep learning experience using either Keras/tensorflow and/or Pytorch. - Experience in computational image analysis. - Experience in cloud computing - both Google cloud engine and Amazon web service. - Experience in creating interactive notebooks with Jupyter. - Experience writing online tutorials and blog posts. - Experience creating websites.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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