Computational Biologist - Image Analysis Engineer

4 days left

10X Genomics
Pleasanton, California, US
Apr 28, 2021
May 11, 2021
Employment Type
Full time
Salary Type
About the role:

10x is looking for an image processing expert to join its Computational Biology group. This person will create imaging methods to power our next generation of droplet-based and spatially-arrayed genomics products. They will work closely with our microfluidics, assay-development and software teams to create robust and high-performance production software.

Individuals applying for this position must be self-starters, strategic thinkers, action driven, flexible in changing direction and methods, thrive in a fast paced environment, excel at managing multiple priorities, succeed in communicating with all levels within the organization and provide immediate contribution.

What you will be doing:

Select, test, implement and optimize image processing methods to extract relevant signals from imaging data
Build analytical models or simulations to understand and communicate key trade-offs of imaging system design and data quality.
Rapidly prototype methods for internal experiments & early R&D
Create high-quality, robust implementations of production algorithms.
To be successful in this role, you will need:

PhD or MS plus equivalent experience in quantitative field (e.g. bioengineering, computer science, electrical engineering, physics, computational/systems biology or related field)
Image processing: segmentation, object detection & classification, feature extraction - you have a deep understanding of both historical and cutting edge methods and the ability to choose the right tool for the job
General purpose machine learning skills: classification, fitting & regression, optimization methods
Ability to quickly develop custom analysis methods and algorithms and apply them to large data sets
Also, we'd like to see:

Expert level experience in relevant tooling, e.g.: image analysis packages such as OpenCV and ITK; ML tools such as Pytorch and Tensorflow; and compiled programming languages such as C++ and Rust.
Experience with cell, fluorescence, and/or histology imaging is a plus

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