Bioinformatics Engineer (Bachelor of Science)

Role Summary

We are seeking a highly skilled Bioinformatics Engineer to develop and maintain bioinformatics pipelines in AWS and contribute to the design and maintenance of cloud computing infrastructure. This position requires prior experience in cloud-based bioinformatics solutions, high-performance computing, and pipeline automation to ensure efficient and reproducible data analysis. The Bioinformatics Engineer will collaborate closely with scientists, software engineers, and data analysts to drive innovation and enhance data processing capabilities.

Responsibilities

• Develop and maintain robust cloud-native bioinformatics pipelines for processing and analyzing high-throughput sequencing data or other biological data.
• Design, deploy, and manage AWS infrastructure using IaC.
• Collaborate with cross-functional teams to develop software solutions that enhance and automate data analysis and interpretation.
• Implement best practices in software engineering, including version control, automated testing, CICD, and documentation.
• Analyze and interpret large-scale biological datasets to extract meaningful insights.

Qualifications

• Required: Bachelor of Science in Bioinformatics, Computational Biology, Computer Science, or a quantitative field with previous experience in bioinformatics.
• Required: 3-5 years of experience in developing and implementing bioinformatics solutions.
• Required: Experience with working with cloud computing environments (AWS, Google Cloud, or Azure).
• Required: Strong programming skills in Python, R, or other relevant languages.
• Required: Familiarity with workflow systems such as WDL and Nextflow.
• Required: Experience with containerization technologies (Docker, Kubernetes).
• Required: Familiarity with bioinformatics tools and databases (e.g., GATK, SAMtools, Ensembl, UCSC Genome Browser).
• Required: Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.
• Required: Excellent problem-solving skills and ability to work in a fast-paced environment.

Qualifications

• Preferred: Experience with AWS services such as HealthOmics, Lambda Functions, S3, EC2, etc.
• Preferred: Familiarity with SDLC and SWE best practices such as automated testing, CICD, code reviews.
• Preferred: Experience with building applications using Flask, RShiny, or JavaScript.
• Preferred: Experience in genomics, transcriptomics, and other omics data analysis.
• Preferred: Knowledge of regulatory requirements in clinical bioinformatics.

Additional Requirements

• This position requires periodic travel and some evenings, weekends, and/or holidays.
• Job may require after-hours response to emergency issues.
• Periodically scheduled on-call may require after-hours response for technical emergencies not explicitly related to assigned job responsibilities.