Genomics Data System DevOps Engineer-Temp

POSITION TITLE: Genomics Data System DevOps Engineer

 

POSITION LOCATION:  Remote, USA

 

POSITION SUMMARY:

 

At Natera we build fast, reliable and scalable data systems that are easy to deploy, maintain, and manage. Our Data Science Production Engineering (DSPE) team is building such a Genomics Data System, to support our R&D and Data Science work. 

 

As a DevOps Engineer contractor working on this Genomics Data System, your responsibilities will include the following: 

 

PRIMARY RESPONSIBILITIES:

• Working with the Data Science Production Engineering team, to design and develop a Genomics Data System.

• Develop genomics data file retrieve and archive solutions from various data sources and platforms, e.g., DNAnexus, AWS HealthOmics.

• Develop databases that record and manage metadata of the genomics data files.

• Develop automation solutions for genomics data file retrieval and metadata management.

• Test, deploy, and maintain such systems.

• Write technical documentations for such systems.

• Provide training and technical support for other team members.

 

QUALIFICATIONS:

• Minimal Bachelor's Degree in Computer Science, Software Engineering, Bioinformatics, or a related field. Advanced degrees preferred.

• Minimal 7 years of relevant industry experience for candidates with only a Bachelor's Degree.  Minimal 5 years of relevant industry experience for candidates with a Master's Degree.  Minimal 3 years of relevant industry experience for candidates with a Doctorate degree.

• Excellent Python programming skills, with cloud application and/or automation system development experience.

• Proficient with RDBMS systems such as PostgreSQL and/or MySQL, and past database-based application development experience.

• Proficient Linux command line skills, and past Linux application development experience.

• Familiarity with AWS services, and past working experience using AWS services.

• Good understanding and past working experience with genomics data, such as FASTQ, BAM, VCF files.

• Familiarity with Git workflow and version control systems like GitHub and/or GitLab.

• Familiarity with tool/system performance evaluation methods, and good understanding of key factors, such as RAM, Disk IO, Network IO'