Staff Software Engineer, Data Infrastructure

Helix is a place where innovators and doers gather in order to drive significant progress in population genomics. We have come together to work at the intersection of clinical care, research, and genomics. If you’re excited by the idea of making a meaningful impact and joining a team where we pride ourselves on driving innovation through fostering an environment with an emphasis on empowering one another to grow, Helix might be the place for you! The Helix Data Engineering team plays a pivotal role in Helix’s efforts to provide a first-in-class clinicogenomics research dataset that serves our internal research team, provides operational insights back to health systems, and is a valuable asset in our growing Life Science business. Working closely with Research, Bioinformatics, and other Engineering teams, we are responsible for maintaining infrastructure that enables secure analysis of this quickly growing dataset. The patient is top of mind in everything we do, and your contributions here have the opportunity to improve the real world outcomes for everyone. As a Staff Software Engineer, you will: Maintain and evolve infrastructure that allows scientists to process and analyze Helix-produced clinicogenomics datasets. Drive data infrastructure and data management strategy for clinical and genomic data, contributing to platform components and pipelines that increase the value and usability of these key assets. Collaborate and work well cross functionally with product managers, bioinformaticians, scientists, other engineers, and business leaders. Establish and maintain strong engineering best practices. Own systems and services from development to production. Mentor other team members to reinforce a culture of learning and teaching. About you: Reside in the US, Canada, Mexico, Chile or Colombia Bachelor's/Master's degree in Computer Science, Bioinformatics, Engineering, Mathematics, or a related field with 7+ years of experience; or PhD with 2+ years of experience Proven experience in data engineering Proficiency in Python, Go, Java, Scala, or similar Proficiency with distributed systems built on cloud infrastructure — AWS or similar Experience with infrastructure-as-code tooling/frameworks (e.g., Terraform, Cloudformation, AWS CDK) Experience with authentication protocols such as OAuth, OIDC, SAML, and JWT Proficiency in managing Identity and Access Management (IAM) configurations Expertise with distributed compute frameworks such as Spark, Dask, EMR, Databricks, or similar 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 Adaptable in a fast-paced startup environment where priorities may change quickly and frequently Demonstrated willingness to learn new domains (e.g. genomics, healthcare) and associated technologies Pluses: Experience with clinical data (EHR, FHIR, HL7, and/or claims data) Experience with OHDSI tools and data formats (OMOP, Atlas, etc.) Experience with AWS technologies such as AWS Lambda, S3, Athena, Redshift, Glue, API Gateway, Cognito, Lake Formation Experience with front-end technologies (Javascript, Typescript, React, Vue, node). Experience with machine learning or AI technologies, including LLMs. Proficiency with the principles of molecular biology and/or next-generation sequencing and genomics Experience in the life sciences/pharmaceutical industry. Expected Pay For This Role: There are 3 distinct parts to your Helix offer: 1) Base Salary 2) Annual Bonus 3) Equity Expected Helix Base: $166,000 - $226,750 Expected Helix Discretionary Annual Bonus: 15% 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.

Helix is the leading population genomics company. Helix enables health systems, public health organizations and life science companies to accelerate the integration of genomic data into patient care and public health decision making. We are continuing to scale our world-class team to support our dedication to empowering every person to improve their life through DNA.