Computational Biologist - Product Development / Single Cell

About the role

Computational Biologist - Product Development


We are looking for an outstanding individual to join our Computational Biology group. You will work closely with talented biochemists, microfluidics engineers, chemists and software engineers to analyze data generated from our single-cell and spatial genomic assays. Our products have allowed researchers to study biology at unprecedented resolution and scale, yielding insights in diverse fields such as cancer biology, immunology, neuroscience, developmental and basic biology.
You will develop analyses to measure, improve, and optimize product performance during a fast-paced product development cycle. This includes discovering issues through careful analysis of sequencing data and working collaboratively with the interdisciplinary product team to help resolve them. Working with our R&D group and with external partners you will solve problems by developing insights into high-resolution and high-throughput biological data.

You will also contribute to the development of our software tools so that all our users can benefit from your abilities to extract information from the data generated by our assays.

You have a strong background in computational biology or bioinformatics and you have experience working with single cell data. You have a deep understanding of biology at the cellular and molecular level and can interpret the results of your analyses within their biological context. You are a strong programmer who can take an idea and quickly implement it in code. You are able to communicate your ideas and work effectively with an interdisciplinary team and incorporate their feedback into your analysis. You are a strategic thinker, highly motivated, proactive and flexible in changing direction and methods. You thrive in a fast paced environment, excel at managing multiple priorities, communicate clearly and get the job done.


What you will be doing:

• Using existing and novel computational approaches to analyze complex single cell and spatial datasets
• Using exploratory analysis and statistical models to troubleshoot and optimize sample prep and assay methods
• Working with internal groups at 10x as well as external partners to solve problems with data analysis
• Defining experimental metrics for measuring assay quality, and determine goals & priorities for assay development work
• Contribute to 10x software tool

Minimum Requirements:

• PhD in a quantitative field (e.g. biology, bioinformatics, computational/systems biology, physics, mathematics, computer science)
• Experience working on problems involving complex biological systems at high-resolution
• Experience using computational methods to extract insight from large datasets
• Experience with the analysis of NGS data
• Strong grounding in the state-of-the art with respect to single cell biology and computational analysis
• Ability to quickly conceive and implement custom computational methods and algorithms and apply them to large data sets.
• Strong programming ability in a language such as Python or R
• Ability to work in a fast-paced and quickly changing environment and to work independently
• Ability to communicate complex ideas with an interdisciplinary team
  
  

Preferred Skills:

• Creative problem solver who obsesses over finding useful biologically relevant information in data
• Experience working in an applied biological field such as immunology, tumor biology, neurobiology or similar
  
  
  

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