Job Title:  Bioinformatics Analyst II
# of Openings:  1
Contract Length: 6 months, renewable
West Coast remote or San Francisco onsite
Pay rate range: $37.00/hr. to $42.00/hr. (commensurate with education and level of experience)

The Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. The GRC plays an integral role towards our goal of developing extraordinary genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials. Within the GRC, the Department of Bioinformatics is responsible for data analysis and provides analytical insight for both internal and external data. This involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis, and response (efficacy and safety) to drug treatment, identification of new targets, and interpretation of the impact of genetic and genomic evidence from population-based studies. To attend to these challenges, we have an exciting opportunity for a Bioinformatics Engineer, embedded within the GRC’s Computational Oncology bioinformatics group in a hybrid arrangement at company's South San Francisco, CA location. The candidate will work closely with computational biologists and research project teams to develop analytical pipelines, databases, and scientific applications for the GRC.

Responsibilities:
• Develop and support NGS pipelines using scientific workflow language via best practices, including unit testing, CI/CD, containerization, and code reviews.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Design, develop and maintain Application Programming Interfaces (APIs), microservices, and asynchronous queuing systems.
• Work with bioinformatic scientists as the stakeholders to assist with data-related technical issues and support their data infrastructure needs.

Basic Requirements
• Bachelor’s or Master’s in Software Engineering, Computer Science, data scientist/engineering, bioinformatics, computer and electrical engineering, or related field. With at least 2-5 (BS) or 1+(MS) years of relevant experience.
• NGS bioinformatics pipeline development experience
• Fluency in 1 or more or relevant programming languages (e.g., Python, Java, R). Fluency in SQL and database technologies, and one or more programming languages including Node.js, Angular, Java/Python.
• Experience with scientific workflow language such as nextflow, snakemake, CWL or WDL.
• AWS Data Platform experience: S3, Kinesis, Dynamo, RDS
• Experience across multiple tiers of an application, including a database, network, operating system, and containers.
• Familiarity with data workflow development and ETL process.
• Familiarity with standard tools and data formats related to genomics resequencing projects processing and analysis.
• Strong communication skills in a collaborative environment.