You + Helix

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!

Helix + The World

Helix is the leading population genomics and viral surveillance 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. 

 

What is special about this role?

We sit at the intersection of data, bioinformatics, and research, and leverage various open-source platforms and tools running entirely on the cloud.  Our data empowers Helix researchers and our Health System partners to publish in high-impact journals and monitor respiratory pathogens as part of the US viral surveillance backbone.  

Our research platform team is looking for data and/or infrastructure engineer to help assist our bioinformatics team in building pipelines to transform high-quality NGS single-sample output into aggregate datasets that scale to Nx10^5 samples.  

 

As a Bioinformatics Research Platform Engineer, you will:

  • Build systems for delivering high-quality data to researchers and partners.
  • Develop and research tools, infrastructure, and methods for increasing our analytical capabilities and range.
  • Collaborate with product owners, scientists, quality engineers, and software engineers to ship features in a HIPAA-compliant environment.
  • Author data architecture and design patterns that spans across various services and infrastructure.

About you:

  • Bachelor in Science in a quantitative field (computer science, mathematics, statistics, engineering, etc)
  • 3+ years industry experience
  • A passion for improving people’s lives through access to better information about their DNA.
  • Experience with distributed systems (e.g. Spark or Dask)
  • Solid software engineering skills in Python and/or a JVM language (i.e. Java, Scala, Kotlin).
  • Strong communication skills, both oral and written.

Pluses:

  • Proficient with SQL. Working knowledge of NoSQL and SQL data stores.
  • Experience running large datasets in a serverless architecture.
  • Comfortable working with linux, bash, CI/CD tools.
  • Working knowledge of the Jupyter notebook ecosystem.
  • Working knowledge of EHR (electronic health record) data, OMOP / CDM.
  • Familiarity with bioinformatics tools and data formats within the NGS field

What’s important to us:

  • Curiosity — we are all passionate about the possibilities enabled by having access to your own genome
  • Responsibility — we have an obligation to people and our partners to operate with highly credible research guided by well respected advisors, with clear and effective communication about our products
  • Agility — flexibility and a desire to be nimble, smart, and effective are important to the Helix culture
  • Follow-through — we’re building a diverse team with amazing track records of achievement in multidisciplinary environments

What Helix has to offer you:

Aside from working alongside brilliant, dedicated, passionate, down-to-earth, curious, warm, and thoughtful people, we also provide great benefits:

  • Competitive compensation, Comprehensive Health insurance package including employer sponsored HSA 
  • 12 weeks of Maternity or Paternity leave
  • 401(k) with employer matching and 100% vested on first day
  • Comprehensive Well Being benefits
  • Flexible PTO

Helix is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

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