BioSpace · 7 hours ago
Senior Bioinformatics Platform Engineer
United States
Full-time
Remote
Senior Level
$125K/yr - $195K/yr
5+ years exp
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Responsibilities
• Data Engineering Leadership: Lead the design and implementation of robust data pipelines for processing, storing, and analyzing large-scale genomic and biological datasets. Develop ETL processes to ensure efficient data flow and integration across platforms.
• Software Development: Contribute to and lead the development of bioinformatics software tools and applications, ensuring they are well-integrated with data pipelines and platforms. Work closely with software engineering teams to apply best practices in software development, including version control, code review, testing, and documentation.
• Cloud Infrastructure Management: Architect, build, and manage AWS cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Optimize AWS services (e.g., EC2, S3, Lambda, RDS, ECS/EKS) specifically for data-intensive bioinformatics workflows.
• Performance Optimization: Monitor and enhance platform and pipeline performance, focusing on scalability, efficiency, and cost-effectiveness. Develop strategies for high availability, data redundancy, and disaster recovery.
• Automation and CI/CD Pipelines: Develop and maintain automation scripts and CI/CD pipelines to streamline the deployment of software applications and data pipelines. Ensure that updates and new releases are managed efficiently and with minimal disruption to operations.
• Data Security and Compliance: Implement and enforce data security best practices and ensure all platforms and pipelines comply with relevant regulations (e.g., HIPAA, GDPR) for handling sensitive genomic and clinical data.
• Collaboration and Mentorship: Collaborate with bioinformaticians, data scientists, and other engineers to understand computational and data requirements. Mentor junior engineers and foster a culture of continuous learning and improvement within the team.
• Documentation and Training: Maintain comprehensive documentation of platform architecture, data pipelines, and software development processes. Provide training and support to team members and stakeholders on platform and pipeline usage.
Qualification
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Required
Bachelor’s or Master’s degree in Bioinformatics, Computer Science, Computational Biology, Data Engineering, or a related field.
5 years or more of experience in bioinformatics or computational biology, with a focus on cloud-based platforms and data engineering.
5 years or more of experience in managing and optimizing AWS infrastructure, with a strong track record of using services like EC2, S3, Lambda, RDS, ECS/EKS, and VPC.
Proven experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK.
Extensive experience in software development, including proficiency in Python, Java, or similar programming languages.
Strong background in data engineering, including designing ETL pipelines and working with large-scale biological datasets.
Deep understanding of bioinformatics tools, workflows, and data formats (e.g., FASTQ, BAM, VCF).
Expertise in data engineering tools and technologies, such as Apache Spark, Hadoop, and data lakes.
Proficiency in programming languages such as Python and R for data analysis and pipeline development.
Strong experience in Linux/Unix systems administration and shell scripting.
Experience with containerization and orchestration tools such as Docker and Kubernetes.
Strong experience with CI/CD tools and practices, such as Jenkins, GitLab CI, or AWS CodePipeline.
Familiarity with database management systems (SQL and NoSQL) and data warehousing solutions.
Knowledge of data security and compliance standards (HIPAA, GDPR) related to genomic data.
Strong analytical and problem-solving skills, with a proactive approach to identifying and solving technical challenges.
Excellent leadership and communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Preferred
Certifications: AWS Certified Solutions Architect (Professional) or AWS Certified DevOps Engineer (Preferred).
Benefits
Bonus
Equity
Comprehensive benefits
Company
BioSpace
BioSpace is the leading online community for industry news and careers for life science professionals.
11-50 employees
Funding
Current Stage
Growth StageTotal Funding
$10M2000-08-24Series B· $10M
Leadership Team
J
Joshua Goodwin
CEO and President
K
Kristin Jones
Chief Revenue Officer
Recent News
Crunchbase News
2024-11-20
2024-05-31
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