Associate Director - NGS Bioinformatics

We are seeking a motivated individual with a background in biology, genomics, and programming to support and lead Metagenomi’s NGS based bioinformatics discovery platform. Reporting to the Vice President, Discovery, this position will play a crucial role in designing methods to support the development and usage of Metagenomi’s extensive genome-editing toolbox, including algorithm development, big-data analytics, and pipeline design. This role will be based in Emeryville, CA.

By the end of your first year, you will have a chance to demonstrate your ability to:

• Lead a team of bioinformaticians while collaborating closely with lab scientists and engineers to build and maintain complex NGS pipelines
• Develop algorithms and computational infrastructure for gene-editing applications, such as off-target analysis, guide selection, and determining editing outcomes
• Develop UI-based resources, command line tools, and containerized workflows for use by scientists and engineers company wide
• Integrate diverse data sources for improved analysis outcomes and automated pipelines (e.g. from LIMs and other internal databases)
• Design and implement data management best practices throughout the company
• Coordinate and encourage standardized coding best practices, lead and collaborate with team members on code reviews
• Set priorities and directions for lab/NGS data analysis, set up systems that scale, and provide communication on bioinformatics efforts company wide

• PhD in Biology, Computer Science, Statistics, or closely related discipline or equivalent relevant experience
• At least six years of closely related bioinformatics industry experience with at least two years experience in a leadership capacity
• Extensive knowledge of NGS platforms, including their mechanisms and technical limitations
• Experience working with common bioinformatics methods for NGS data analysis (aligners, assemblers, bbmap, BEDtools, FastQC)
• Experience designing, troubleshooting, and optimizing complex NGS based algorithms (UMI consensus calling, RNA-seq, variant calling, analysis of gene editing outcomes,  and off target effects) 
• Experience with full lifecycle pipeline development
• Expert level proficiency in Python and experience or a strong interest in working with cloud computing systems (e.g. AWS)
• Experience with Docker and building containerized data workflows to handle large scale data streams
• Familiarity with software development practices such as unit testing, code reviews, and version control

Preferred additional qualifications:

• AWS Well-Architected Framework, severless development
• Experience with machine learning applications for complex biological problems (e.g. protein engineering, functional annotation) 
• Experience with Nextflow, SQL & NoSQL database design
• Experience building front-end dashboards with Plotly Dash
• Experience creating data mesh architecture solutions for research 
• Previous experience generating data in a molecular biology/microbiology laboratory

The anticipated base salary range for this position will be $170,000 - $195,000 depending on the exact level of the role. As this role is open to candidates with a wide range of skills and experience, the exact salary will be dependent on the specific level of the position. We value transparency and will make every effort to provide you with a succinct explanation for how the final salary within this range is determined.

Please note, all candidates must be authorized to work in the United States.