Scientist I, Bioinformatics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Vir Bio is seeking an experienced bioinformatician who will work with the Data Science and Operations team in San Diego or in San Francisco (potential for remote work) to analyze a diverse set of genomics and experimental data. A key focus for the bioinformatics scientist is to bring data and analytical capabilities forward from concept, through feasibility, and into production in cloud environments.

The Data Science and Operations team, formed by engineers, bioinformaticians, genome analysts and machine learning specialists, builds data infrastructure, pipelines and data analytics across the company. 

RESPONSIBILITIES AND LEARNING OPPORTUNITIES:

• Collaborate with data scientists, software engineers, and with scientists in wet labs to design experiments, develop analytical tools and derive insights from data.
• Integrate and mine large-scale data sets from research and clinical studies.
• Develop and maintain clean, reusable, composable, and scalable bioinformatics and data pipelines.
• Contribute to the data infrastructure at Vir: databases, APIs, scripts, and applications.

QUALIFICATIONS AND EXPERIENCE:

• PhD in Bioinformatics, Computational Biology, Computer Sciences or related area; or Bachelor’s/Master’s with 4 to 6 years’ related experience strongly preferred.
• Experience analyzing omics/NGS data.
• Record of developing and deploying computational pipelines in cloud-based environments is a plus. 
• Familiarity with pipeline/workflow languages such as Nextflow or WDL a plus.
• Expertise and experience with AWS technologies including S3, RDBS, Batch, Lambda, Athena a plus.
• Proficiency in multi-omics data analysis, integration, and biological interpretation.
• Experience working with publicly available biological databases including NCBI, Ensembl, ArrayExpress/GEO and SRA.
• Experience programming in Python (and/or R) for method development and data analysis.
• Demonstrated commitment to software development best practices, including version control (git or similar), unit testing, continuous integration, issue tracking, software life cycle and code sharing.
• Strong written and verbal communication skills, with an ability to communicate effectively with both scientific and engineering groups.
• Ability to lead multiple simultaneous projects and bring projects to a successful, timely completion.

This role may be performed remotely if VIR can support remote work arrangements in the state where you currently reside. This includes most states within the US. If you move forward in the hiring process, VIR recruiters will discuss options with you.