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Bioinformatics Scientist

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: MyOme
Full Time position
Listed on 2026-06-05
Job specializations:
  • Software Development
    Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Bioinformatics Scientist United States

Bioinformatics Scientist

Menlo Park, California, United States

MyOme’s mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.

Position Overview

MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics.

This role will report directly to a Senior Bioinformatics Scientist.

What You’ll Do
  • Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data
  • Identify and develop tools for NGS data analysis
  • Develop and test algorithms for incorporation into a production pipeline
  • Design and implement quality control processes
  • Help design and conduct clinical validation study plans and reports
  • Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards
What You’ll Need
  • Master’s degree (PhD preferred) in computational biology, computer science or a related field
  • 3+ years experience in industry analyzing NGS data
  • Coding fluency such as Python or R
  • Experience with bioinformatics tools including bcftools, samtools, bedtools, etc.
  • Ability to implement new tools and evaluate open source tools quickly
  • Familiarity with genomic databases such as UCSC, NCBI (dbSNP, Clinvar), Ensembl
  • Familiarity with public datasets such as 1000 Genomes, UKB, All of Us
  • Experience with detecting and interpreting different types of genetic variants
  • Experience in statistical analysis of genetic data
  • Experience managing computational tasks in a cloud environment (AWS or GCP).
  • Solid understanding of the Linux environment and shell scripting
  • Experience working with next-generation sequencing data (exome, genome, RNASeq) and/or long-read technology (Nanopore, Pac Bio)
  • Experience with Nextflow is a plus
  • Excellent communication and presentation skills
  • Experience working within a hybrid and/or remote team
Location, Compensation, and Benefits
  • Location:

    Hybrid role, 2 days onsite at our Menlo Park, CA campus.
  • Compensation:
    Annual salary range is $120,000 - $150,000, based on experience
  • Benefits:
    Comprehensive healthcare coverage (Health, Dental, and Vision)
  • 401K
  • Unlimited PTO
  • Professional development opportunities
  • Company-sponsored off‑sites and team meals during in‑person meetings
  • Direct access to company leadership and the opportunity for career growth
Diversity, Inclusion, and Equal Opportunity

MyOme values diversity in all forms. We believe that diverse perspectives drive better science and better patient outcomes. We are an Equal Opportunity Employer committed to creating an inclusive workplace that empowers every individual.

Why Work at MyOme?

Join us if you:

  • Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level
  • Enjoy rolling up your sleeves, taking initiative, and being empowered to lead
  • Value humility, transparency, and collaborative problem‑solving
  • Thrive in fast‑moving, dynamic environments with smart, driven teammates
  • Appreciate competitive compensation, meaningful equity, and excellent benefits
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