Sr. Bioinformatics Scientist

Who We Are

Since 2006, 23andMe’s mission has been to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health and personal understanding. With the world’s largest database of more than thirteen million genotyped customers, 23andMe is at the forefront of using human genetics to advance biomedical research and transform healthcare. 

We are seeking an accomplished and collaborative Bioinformatics Scientist to join our Research Team You will directly contribute and provide thought leadership on a diverse range of bioinformatics and statistical genetics code bases. You will also implement state-of-the-art methods and workflows to analyze genetic data at an unprecedented scale (millions of samples and thousands of phenotypes).

What You'll Do

Architecture, design, and implementation of novel workflows to perform statistical genetic analyses in distributed computation environments Develop cutting-edge methodology when third-party options are not available Follow genetics/bioinformatics literature and attend appropriate conferences to maintain awareness of desirable and state-of-the-art methods for processing bioinformatic data

What You’ll Bring

Ph.D. in Genetics, Bioinformatics, Computational Biology, or similar quantitative field  5+ years of post-PhD work experience in bioinformatics required (industry work experience a strong plus) Knowledge of core statistical genetics algorithms such as phasing, imputation, linkage disequilibrium, GWAS, and PRS Fluency in Linux, bash, R, and Python Experience with distributed computation (e.g. AWS/UGE/SLURM) Expert knowledge in at least one workflow language such as Nextflow, Snakemake, or WDL Excellent verbal and written communication skills Collaborative personality with strong interpersonal skills Ability to work effectively in a cross-functional, team environment that includes computational biologists, statistical geneticists, bioinformaticians, engineers, and program managers - either as an individual contributor or as a technical lead Ability to work 3 days onsite (Tuesday-Thursday) in our Sunnyvale, CA office

Strongly Preferred

Nextflow C++ Docker AWS Batch / Kubernetes Expertise in bioinformatics tools such as Beagle, bcftools/htslib/samtools, DeepVariant, DNAnexus, GLnexus, Minimac4, Plink, Shapeit5, SuSiE Familiarity with the analysis of short read DNA sequencing (WES/WGS) including alignment, variant calling, QC, and joint calling

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