Job Summary

The Cai lab is seeking a Senior Computational Biologist. The successful candidate will oversee the development of software platforms for performing single cell image segmentation and spatial gene expression analysis. The candidate will also oversee the conversion of these algorithms into production ready tools for the scientific community.

Job Duties

The candidate’s primary role will be to lead the Cai group’s development of the next generation of deep learning algorithms for single cell image segmentation and spatial gene expression analysis.

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 cell tracking through 3D images.
• 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.
•  with crowd sourcing of data set annotation.
• Serve as group lead Computational Biologist
• Interface our deep learning based image segmentation pipeline with existing GUIs.
• Oversee GUI development.
• Manage grant writing and paper writing.
• Oversee 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 Bioinformatics or a related field.
• At least seven 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

• PhD in Computer Science, Bioinformatics or a related field.
• 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

Required Documents

• Resume