Computational Biologist - Image Analysis Engineer

4 days left

Employer
10X Genomics
Location
Pleasanton, California, US
Salary
Competitive
Posted
Apr 28, 2021
Closes
May 11, 2021
Ref
2145268952
Discipline
Other
Employment Type
Full time
Salary Type
Salary
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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