Senior Genomics Data Engineer

We are looking for a Senior Genomics Data Engineer to join our Helix Clinicogenomic Data Engineering team. As a Senior Genomics Data Engineer, you will develop innovative solutions to simplify complex genomic data and design, build, and optimize robust data pipelines for processing large-scale genomic and clinical data.

Requirements

• Bachelor's/Master's degree in Computer Science, Bioinformatics, Engineering or a related field with 5+ years of experience
• Deep domain knowledge in molecular biology, next-generation sequencing, or genomics
• Demonstrated experience in processing a variety of large scale genetic data formats (exome/whole genome), including but not limited to VCF, CRAM, BAM, and PLINK.
• Strong experience using industry-standard bioinformatics tools such as bcftools, htslib, and samtools.
• Experience with genomic data-reduction techniques, such as PCA
• Expert-level proficiency in Python
• Proven experience designing and building distributed systems on AWS, including expertise with services like Glue, EMR, S3, Lambda, and DynamoDB.
• Proficiency with infrastructure-as-code frameworks (e.g., AWS CDK, Terraform).
• Expertise with ETL pipeline automation and workflow management tools such as Airflow, AWS Glue, AWS Step Functions, and CI/CD
• Familiarity with database design, data manipulation, and data quality techniques
• Demonstrated ability to thrive in a fast-paced, adaptable environment.

Benefits

• Comprehensive Health Insurance with Date of Hire eligibility
• Above average employer paid premium coverage
• 12 weeks Helix Paid Parental Leave option
• 401(k) with employer matching of up to 3% and 100% Vesting on the Date of Hire
• Comprehensive Well-Being Benefits
• Flexible PTO
• Remote options for many roles and a home office stipend