Data Scientist Iii at Myriad Genetics

THIS IS A REMOTE WORK FROM HOME BASED POSITION (USA ONLY)
Myriad Genetics is a healthcare technology company that leverages genetic information to empower doctors and patients to make informed medical decisions. Our software engineers and data scientists work on a variety of projects to enable providers to work more efficiently to achieve better outcomes for their patients.
Our Health intelligence Platform team is developing infrastructure to share data with health care providers in new ways which will streamline healthcare delivery and enhance the operability of genomic data. This is a hands-on role which will require extensive code development in python, SQL, and other technologies TBD. This is not an entry-level role.
What you will do: 
Help us create the infrastructure to deliver better insights which can improve patient care and drive better treatment options 
Support the development of our Health Intelligence Platform by developing new tools and improving existing ones 
Work within our AWS and DNANexus data platform to ensure uptime, reliability, efficiency, and ease of use through automation, industry-standard best practices, and new and bleeding edge solutions, keeping security top of mind 
Take ownership of developing our architecture and strive every day to make it more reliable, scalable and extensible 
Work with our Bioinformatic tools, Computational pipelines and Data curation teams to extend and share this infrastructure and drive efficiencies across the R&D Platform group 
Understand and contribute to our complex data ecosystem, promote solutions to other teams, and communicate changes to stakeholders 
What we believe in:
Prioritize Impact   
Hone Your Craft   
Own It and Make it Happen   
Scale Each Other   
Commit to Diversity   
Keep it Simple   
We look for data scientists who: 
Possess a strong background in genomics, cancer biology, pharmacology, or another related biological science. Advanced degree strongly preferred.  
Are strong individual contributors and self-starters that want to work towards larger goals with 3+ years of software engineering in industry or academia under your belt as demonstrated by prior experience, GitHub account or personal web page   
Have strong communication skills with 1 – 2 year’s experience leading new development or maintaining ongoing development projects as part of a collaborative team 
Have expertise in quickly learning and understanding how best to use legacy infrastructure and legacy codebases as well as how to work effectively with other developers to come up to speed quickly on their usage 
Have an extensive understanding of Cloud and internal server network applications and design principles 
Have a proven track record of improving systems in secure, reliable, and reproducible ways 
Have mastery of at least one coding language (e.g. Python, Java) 
Are lifelong learners, always pushing themselves, their teammates, and their systems to be the best they can be. 
Nice to haves: 
Proven experience deploying and managing Docker containers, Lambdas and Pipelines 
Proven experience working in collaborative environments using Agile and Scrum based methodologies 
Experience with developing in a regulated environment 
Strong SQL and Snowflake experience 
Experience architecting distributed systems with infrastructure automation, monitoring, logging, and alerting 
Experience with Linux systems (e.g. Ubuntu, Amazon Linux) and Bash 
Experience with developing tools to analyze biological data in a regulated environment  
Experience with CI/CD pipelines (e.g. Jenkins, GitHub, GoCD) 
Experience working with DNA Nexus or Looker 
Prior experience with building or developing data warehouses 
Hands-on experience working with biological datasets, bioinformatics tools and data standards, pipelines, and their supporting infrastructure 
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