Computational Biologist Summer Intern – Pipeline Algorithms
Location: Pleasanton, CA
10x Genomics is building tools for scientific discovery that reveal and address the true complexities of biology and disease. Through a combination of novel microfluidics, chemistry and bioinformatics, our award-winning Chromium™ System is enabling researchers around the world to more fully understand the fundamentals of biology at unprecedented resolution and scale. Learn more at 10xGenomics.com.
Fueled by equal parts scientific vision and determined passion, we are delivering unprecedented innovation to short-read sequencing technologies and transforming how genomic information is accessed. We are seeking talented professionals excited to build new technology that advances scientific research while growing their career within a dynamic, supportive environment.
Computational Biologist Summer Intern – Applications
10x is looking for an outstanding student to intern in the Computational Biology group for the summer of 2019. This person will participate in product development and pipeline / algorithm development. This includes deep-dive analysis of R&D and collaborator datasets, algorithm benchmarking & prototyping, implementation of new features, and improving the functionality of 10x’s pipeline products. The ideal candidate will be interested in method development for single cell genomics, drawing on training in statistics, optimization, graph algorithms, text algorithms, and beyond. Any experience combining novel and existing tools into effective pipelines is a plus.
The right candidate must also have strong programming skills, interpersonal skills, and the ability to communicate results clearly. The candidate should have an interest in biology, working with real-world data, and understanding customer needs. Individuals applying for this position must be self-starters, strategic thinkers, and thrive in a fast paced environment.
- Develop custom analyses to guide development of the core technology
- Develop and test algorithms for genomic data across a number of novel applications
- Build simulations to explore performance under a wide array of conditions
Required Skills and Background
- PhD student in bioinformatics or other quantitative field (e.g., physics, mathematics, computer science, electrical engineering or related field)
- Ability to quickly develop custom methods and apply them to large data sets
- Exploratory data analysis skills
Desired Skills and Background
- Strong programming ability in Python or R, Rust or C/C++
- A deep intuition for the processes utilized by current NGS technologies
- Creative problem solver who obsesses over finding useful information in data
- Hands on experience with NGS data tools (e.g. bwa, samtools, GATK)
- A combination of mathematical depth with a healthy respect for the imperfections inherent in real-world da
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.