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San Diego Research - Computational Biology Full Time
Vir Biotechnology is a clinical-stage immunology company focused on combining immunologic insights with cutting-edge technologies to treat and prevent serious infectious diseases. Vir has assembled four technology platforms that are designed to stimulate and enhance the immune system by exploiting critical observations of natural immune processes. Our current development pipeline consists of five product candidates targeting hepatitis B virus, influenza A, human immunodeficiency virus and tuberculosis.

Vir Bio is seeking an experienced genomics scientist who will work with the data science team in San Diego (or in San Francisco, potential for remote work) to develop, implement statistical/population genetics and bioinformatic analysis for research. A key focus for the bioinformatician is to analyse a broad range of data: including human GWAS, exome, whole genome, with extensive access to transcriptomic, CRISPR, single cell RNAseq and proteomic data. The candidate must be comfortable working as part of a team, be highly motivated, and display excellent time management skills. The Data Science team, formed by engineers, bioinformaticians, genome analysts and machine learning specialists provides data infrastructure, pipelines and data analytics across the company. 
  • Collaborate with data scientists, software engineers, and with scientists in wet labs.
  • Work with large scale datasets to derive insights to improve our capabilities and our business
  • Develop novel tools and methods for increasing our analytical capabilities
  • Communicate both internally and externally to understand and document requirements.
  • Demonstrated knowledge of large scale genome analytics and data structures.
  • Use of NGS tools like bwa, samtools, vcftools, picard, GATK, Freebayes, ANNOVAR, VEP.
  • Basic knowledge in biostatistics, molecular biology, and/or computer sciences.
  • Knowledge in analyzing next generation sequencing data. Experience with pathogen genomics, single cell genomics data like single cell RNA-seq, single cell ATAC-seq or single cell DNA methylation data is a plus.
  • Demonstrated knowledge in statistics and programming languages such as Python, Perl, and R.
  • Network and cloud-based Unix/Linux environments to enable the development of production ready remote computational pipelines. Inclusive of but not limited to AWS, Docker and Kubernetes.
  • Bachelor's, Master’s Degree or PhD in Bioinformatics, Computational Biology, or related area; and/or equivalent experience/training.

  • VIR is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. 
    The Human Resources team manages the recruitment and employment process for Vir.  Unsolicited resumes sent to Vir from recruiters do not constitute any type of relationship between the recruiter and Vir and do not obligate Vir to pay fees should we hire from those resumes.  Recruiters are requested not to contact or present candidates directly to our hiring manager or employees.