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 are looking for a Senior Bioinformatics Scientist with extensive experience in NGS analysis, preferably in a clinical setting, to join our team. This role involves collaborating cross-functionally with our laboratory R&D, research, engineering, and quality teams to develop new analytical capabilities toward democratizing access to genomic information. The ideal candidate has an insatiable curiosity, entrepreneurial spirit, enjoys teamwork, and is excited about the potential of combining next-generation sequencing (NGS) data with the expertise of all our partners.

 

As a Senior Bioinformatics Scientist,  you will:

  • Lead analytical investigations for early stage projects to enable rapid development of new assays
  • Develop novel tools and methods for increasing our analytical capabilities
  • Collaborate cross-functionally with experimental biologists, product managers, software engineers, quality engineers

About you:

  • Ph.D. in a quantitative field (computational biology, mathematics, statistics, computer science, etc) + 2 years experience in the industry, or an MS + 4 years of experience in the industry
  • Hands on experience with calling complex variants (e.g. structural variants, star alleles) from raw sequencing data
  • Experience analyzing and manipulating large biological datasets in Python, R, or other languages
  • Strong communication skills, both oral and written
  • Entrepreneurial spirit; willing to contribute in multiple areas; curious and independently motivated
  • Problem-focused and able to drive tasks to completion

Pluses:

  • Trained in graduate-level probability/statistics
  • Ability to explain complicated topics to lay audience
  • Code documentation intended for general audience readability and use
  • Familiarity with regulated software systems and entities

 

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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