Lead Computational Biologist

We are looking for an outstanding individual to lead and grow our Computational Biology team in Stockholm, Sweden.
The ideal candidate will have a proven track record of leading and developing teams of data scientists that have successfully developed robust methods or products using molecular-based technologies.
The candidate must combine impressive technical leadership, excellence in people management, and a strong drive for making great products. You thrive in a fast paced environment, excel at managing multiple priorities, communicate clearly and get the job done. This position will interact closely with R&D leadership both in Stockholm and Pleasanton HQ.
In addition to leading the computational team, the successful candidate will work closely with talented biochemists, microfluidics engineers, chemists and software engineers to develop methods for single-cell and spatial genomic assays. You will innovate computational methods and analyses to improve product performance during a fast-paced product development cycle. This includes deep-dive analysis of cutting-edge in-house R&D and collaborator datasets, algorithm analysis & prototyping, implementation of new features, and improving the functionality of 10x’s software solutions.
The ideal candidate will be interested in method development for single cell and spatial genomics, drawing on training in statistics, optimization, graph algorithms, text algorithms, and beyond. You are a good programmer who can take an idea and quickly implement it in code. Any prior experience combining novel and existing tools into effective pipelines is a plus.
What you will be doing:
Lead the Computational Biology team in Stockholm working on product and software development
Recruit top talent to build out the Stockholm Comp Bio team across multiple technical areas
Provide technical guidance and insights to group members on challenging problems
Develop analysis tools to measure and guide development of genomic assays
Use exploratory analysis and statistical models to troubleshoot and optimize genomic assays
Build statistical analyses into robust tools for monitoring assay performance over time
Define experimental metrics for measuring assay quality, and determining goals & priorities for assay development work
Design proof-of-concept experiments, analyzing and interpreting the data to demonstrate the unique power of the 10x Genomics platform internally and externally



To be successful in this role, you will need:
PhD plus equivalent experience in a quantitative field (e.g. physics, mathematics, computer science, electrical engineering, computational/systems biology or related field)
Strong leadership and organizational skills
Experience managing teams (>5) of data scientists
Attract, develop and retain diverse talent
Ability to quickly conceive and implement custom statistical methods and algorithms and apply them to large data sets
Ability to use Python and R in method development and data analysis
Ability to work in a highly matrixed, fast-paced and quickly changing environment
Ability to communicate complex ideas with an interdisciplinary team
Demonstrable experience with the analysis of NGS data
A strong desire to build game-changing technologies and impact the world of life science research

Additional, desirable, skills & experience:
A deep intuition for the processes utilized by current NGS technologies and the subtleties of NGS data
Creative problem solver who obsesses over finding useful information in data
Hands on experience with NGS data tools (e.g. bwa, samtools, GATK)
Experience analyzing multiplexed imaging datasets (e.g. in situ sequencing, multiplexed FISH)
A combination of mathematical depth with a healthy respect for the imperfections inherent in real-world data
Exhibits focus; appropriately prioritizes, manages expectations and delivers on commitments



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