Senior Bioinformatician - Medical Device

Working from home OR Redwood City, CA
$110,000 to $155,000 per year + stock options + bonus
Dec 20, 2021
Required Education
Masters Degree/MBA
Position Type
Full time

At Genapsys we are working to transform the human condition by building an affordable, scalable genomic ecosystem that empowers research and diagnostics. Powered by semiconductor chip-based electronic sequencing technology, our platform will be a modular and accessible system that will enable highly accurate, scalable, and affordable sequencing for a variety of applications. We believe in a world where every researcher and clinician can perform their sequencing on-site, enabling easy and rapid access to actionable insights based on genomic data.  Join us and let’s work together to unlock universal access to genomic sequencing. 

About the Role:

The Bioinformatics Scientist will develop, maintain, and evolve novel next generation sequence analysis software and pipelines with a focus on run assessment, data quality, knowledge integration, data interpretation, hypothesis generation and testing, as well as common sequence alignment algorithms/tools and NGS applications. Demonstrable experience using data mining and analysis tools to identify dominant patterns in next generation sequence datasets to diagnose instrument performance.

Remote candidates in the United States, as well as those based in the greater Redwood City, CA or Denver, CO area, are encouraged to apply.


  • Take a senior role in developing comprehensive bioinformatic analysis solutions for the Genapsys NGS data
  • Perform detailed bioinformatics analysis including reference genome alignment, targeted sequencing, mapping, annotation and variant calling using a variety of data sets generated by the Genius platform as well as other NGS systems
  • Analyze sequencing datasets to assess quality of experimental data and provide feedback to signal processing and algorithm teams for further improvement
  • Monitor data integrity and quality and alert team members when inconsistencies arise and help troubleshoot the problem
  • Actively participate in the ongoing development of the Genapsys sequencing technology.


  • PhD or MS in Bioinformatics, Computer Science, Computational Biology, Electrical Engineering/Signal processing or a related field with > 5 years’ experience.
  • Strong hands-on experience with bioinformatics methods appropriate for NGS applications (targeted sequencing, RNASeq, ChIPSeq, and de novo genome assembly).
  • Hands-on experience with genome alignment, mapping, variant calling and annotation (e.g. BWA, Bowtie, STAR, GATK, vardict, DeepVariant, samtools, bcftools).
  • Deep understanding of next generation sequence sequencing methods, quality scores and their interpretation.
  • Experience with open source bioinformatics and genome analysis tools (e.g. samtools, bedtools).
  • Experience designing and developing research and/ or production grade bioinformatics pipeline solutions for NGS applications.
  • Expertise in Python and with version control practices and tools, especially Git/Github, and demonstrated experience in other programming/scripting languages: R, Bash.
  • Ability to work collaboratively with the primary analysis team, software developers, and the pipeline team.

Desires Qualifications:

  • Prior experience in a NGS company or NGS research lab is a plus.
  • Prior experience in developing NGS pipelines is a plus.
  • Ability to apply advanced statistical methods, machine learning, data science to molecular biology.

What we offer (US based-employees)*:

  • Competitive compensation and generous stock options.
  • Comprehensive, industry-leading medical, dental and vision benefits for employees and dependents.
  • Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses.
  • 401(k) retirement plan with matching employer contribution.
  • Free daily catered gourmet lunches and snacks.
  • For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program.
  • Work with driven and enthusiastic colleagues in a fast-paced and entrepreneurial environment, the opportunity to work on problems that matter in a highly collaborative environment.