Senior Bioinformatics & Genomics Data System Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, test, deploy, maintain, and enhance DSPE software tools, data platforms, cloud platforms, automation systems, and analytics systems.

• Ensure the timely and efficient delivery of software tools and systems with accurate, robust functionality.

• Contribute to the design, development, testing, deployment, validation, maintenance, and updates of software tools and data, cloud, and automation systems.

• Collaborate with DSPE leadership to create system architecture and infrastructure design documents.

• Maintain and optimize software and system performance by monitoring network I/O, disk I/O, RAM usage, CPU usage, and disk space utilization.

• Develop, maintain, and update technical documentation.

• Create training materials and participate in training activities.

• Educate and mentor DSPE team members on technologies, procedures, guidelines, and best practices.

• Represent the DSPE Software Engineering and DevOps team in stakeholder meetings.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, or a related field is required; advanced degrees are preferred.

• 6 years of relevant industry experience with a bachelor's degree, 3 years with a master's degree, or 2 years with a doctorate degree.

• 3 years of experience in a highly regulated environment, such as CLIA and/or FDA-compliant settings.

• 3 years of experience in a Software Engineering or DevOps team.

• Experience in developing and maintaining custom software tools or systems for production environments, ideally in high-throughput settings.

• Experience in creating software design specifications, verification and validation documents, and user manuals.

• Strong understanding of bioinformatics, genomics concepts, and NGS technologies.

• Proficient in Python programming with experience in bioinformatics, genomics, or automation-system development.

• Solid understanding of AWS services relevant to bioinformatics and genomics applications.

• Familiarity with AWS Batch, ECS, S3, EC2, and HealthOmics.

• Proficient with RDBMS systems such as PostgreSQL and/or MySQL.

• Experience with BCL, FASTQ, BAM, and VCF file types.

• Knowledge of optimizing architecture and components for performance, scalability, and reliability.

• Understanding of system performance evaluation, including RAM, Disk I/O, and Network I/O.

• Familiarity with SDLC and software development and testing methodologies.

• Experience with Linux command-line and application development.

• Proficient in Git, GitHub, and/or GitLab.

• Experience in developing automation solutions.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability plans for eligible employees and their dependents.

• Free testing for employees and their immediate families.

• Fertility care benefits.

• Pregnancy and baby bonding leave.

• 401(k) benefits.

• Commuter benefits.

• Employee referral program.