Intern - Computational Biologist, Cell Segmentation and Deep Learning

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It’s a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.

We enable scientists to advance their research, allowing them to address scientific questions they didn’t even know they could ask. Our tools have enabled fundamental discoveries described in over 4,000 peer-reviewed publications across multiple application areas, including cancer, immunology, and neuroscience.

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. The innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.

About the role:

The Computational Biology group at 10x Genomics is looking for an outstanding graduate student intern to work with us in the summer of 2023. This person will develop deep-learning based cell segmentation methods to power our next generation of spatial genomics products. This person will work closely with our assay-development and instrument teams to create robust solutions that integrate wet-lab, instrument and computational advances.

Interns will work on a mix of “real-world” product features that will ship to customers soon, and longer-term exploratory proof-of-concept work to test new ideas.

Individuals applying for this position should have a strong background in parallel/GPU computing, linear algebra & numerical optimization and some interest in microscopy. You have a deep understanding of the theory, implementation, and practical application of various relevant algorithms. You can take an idea, quickly implement it in code, and evaluate its performance. You must be self-starters, strategic thinkers, action driven, and thrive in a fast paced environment.

Key Opportunities

• Select, implement, test, and optimize image processing methods to extract relevant information from imaging data.
• Rapidly prototype methods for internal experiments & early R&D
• Build analytical models or simulations to understand and communicate key trade-offs of imaging system design and data quality.
• Create high-quality and robust implementations of production algorithms.

Required Skills and Background

• PhD student in computational biology or other quantitative field (e.g., physics, mathematics, computer science, statistics, electrical engineering or similar)

• Strong knowledge and understanding in image processing (instance segmentation, feature extraction, object detection & classification, segmentation, etc.)
• Strong programming ability in python or Rust/C/C++. Familiar with common deep learning frameworks, preferably tensorflow. 
• Ability to research existing methods from literature, adapt them to the problems at hand,  and turn them into well architected code.
• A combination of mathematical depth with a healthy respect for the imperfections inherent in real-world data.
• Experience with cell, fluorescence, and/or histology imaging is a plus.

#RC1

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.

We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. 

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.

10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.