Comp Bio Intern, Cell Segmentation

About the role:

The Computational Biology group at 10x Genomics is looking for an outstanding intern to work with us in the summer of 2026 for our Xenium product. This person will investigate and develop approaches on Few-Shot Learning for adapting a pre-trained cell segmentation model to a much wider range of cell morphologies, using only a very limited amount of annotated samples. They will work closely with our imaging and assay-development teams to push the state-of-the-art in spatial transcriptomics. The intern will be involved in selecting, implementing, testing, and optimizing models for the purpose of few shot learning, rapidly prototyping methods for internal experiments and early R&D.

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 computer vision and machine learning. 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.

What You Will Be Doing:

• Select, implement, test, and optimize prediction 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 model design and data quality.


• Create high-quality and robust implementations of production algorithms.

Required Skills and Background:

• Currently enrolled in a M.S. or Ph.D program in computer science, computational biology or a related field


• Strong skills in image processing (feature extraction, object detection & classification, segmentation, etc.), including both classical algorithmic approaches and deep learning.


• Strong programming ability in Python or Rust/C/C++


• 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.

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.