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Current Openings (U.S. Operations)

Scientist I/II, Bioinformatics (Full-time)

Position Location: Menlo Park, California

Position Description:

We are seeking a highly motivated individual to support NGS pipeline development and data analysis for clinical studies, translational and pre-clinical research. The successful candidate will apply advanced bioinformatics and statistical skills to develop and maintain NGS pipelines, process high-dimensional genomic data, and build statistical & machine learning models for NGS data derived from clinical development programs and translational research.


  • Drive the design, the development, and the maintainence of end-to-end bioinformatics pipelines to work with multi-omics sequencing data from FFPE tissue to liquid biopsy samples
  • Lead the development of novel statistical and machine-learning based methods to optimize detection of mutations, copy number alterations, genomic rearrangements, HLA, and oncovirus.
  • Lead and perform benchmarking for testing pipeline accuracy and performance.
  • Interact with key internal stakeholder and external investigators for data processing, analysis, and interpretation.
  • Collaborate with translational bioinformatics scientist to facilitate biomarker analyses of NGS data from clinical trials and translational research.

Skills and qualifications:

  • Experience in managing cross functional team members during trial execution a must.
  • Strong knowledge of ICH/GCP guidelines with working knowledge of GLP/GCLP preferred.
  • Ability to function in a fast paced, dynamic environment.
  • Ability to independently develop and deploy action plans to meet company needs.
  • Strong interpersonal and negotiation skills.
  • Proven complex problem solving and decision-making skills.
  • Must be a demonstrated self-starter and team player with strong interpersonal skills
  • Excellent written and verbal skills.


  • PhD in Bioinformatics, or Computational Biology, Computer Science, Biostatistics or related field or equivalent work experience
  • 2+ years of experience in working with whole genome sequencing, whole exome sequencing, bisulfite sequencing, and whole transcriptome sequencing data
  • Experience with standard bioinformatics algorithm and tools, such as BWA, GATK
  • Experience with statistical and machine learning techniques, such as linear regression, random forest, bayes inference, etc.
  • Proficiency in Python, R, and Linux shell scripting language

Please contact us with a CV and resume: