• Leverage your specialized knowledge to develop innovative solutions that simplify complex genomic data, effectively lowering the barrier to entry for non-expert users.
• Design, build, and continuously optimize robust, scalable, and automated data pipelines for processing large-scale genomic and clinical data.
• Build and maintain critical pipelines to prepare, de-identify, and securely deliver massive-scale genetic datasets to both internal research teams and external partners.
• Work cross-functionally with world-class Engineering, Research, AI, Data Science, Bioinformatics, Product, and Commercial teams to tackle complex data challenges and drive scientific discovery.
• Provide expert-level support and create tooling to help internal and external data consumers effectively utilize our complex datasets and platforms.
• Implement and manage data infrastructure as code using tools like AWS CDK, ensuring our distributed compute environment is efficient and scalable.

• 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.

• Background in the bioinformatics or healthcare industries, and familiarity with clinical data.
• Proficiency in Go, Java, C, C++, or Scala
• Hands-on skills with genomics-specific data tools such as Hail or TileDB
• Track records of working in a regulated data environment (e.g., HIPAA)
• Hands-on experience designing and building distributed systems on AWS, frameworks such as Spark, Dask, EMR, Databricks, or similar

• Expected Helix Base: $145,000 - $201,250
• Expected Helix Discretionary Annual Bonus: 10% of your annual salary
• Equity: We offer generous equity at Helix. If you receive a Helix offer your recruiter will book dedicated time with you to educate you on our equity model.

• 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

• First 30 days: you’ll spend time learning the Helix way, completing training and onboarding for your roles, and getting introduced to your team and relevant stakeholders. You’ll also gain a deeper understanding of our customers, our products, the impact we make in the lives of our communities, and how to thrive at Helix through participation in Helix U.
• Day 30 - 60: you’ll spend time contributing to projects, deeply familiarizing yourself with team and company processes, and developing a deeper understanding of Helix’s products, services and capabilities.
• Day 60 - 90: you’ll build your OKRs with your manager, start to take ownership of projects and initiatives on your team, and begin to demonstrate your impact on the Helix mission.

Compensation